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1.0 years

2 - 4 Lacs

Hyderābād

On-site

DESCRIPTION As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. You'll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. Key job responsibilities As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. You'll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. You'll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. You'll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and you'll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. BASIC QUALIFICATIONS 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS - Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders PREFERRED QUALIFICATIONS Proficient with technical expertise such as - MS-Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Fire TV & Tablets Editorial, Writing, & Content Management

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4.0 years

0 - 8 Lacs

Noida

On-site

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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0 years

0 Lacs

Rajasthan, India

Remote

Job Title: Jr. AI Engineer Location: Remote Job Type: Full-Time Job Summary: We are looking for a Jr. AI Engineer with a passion for Artificial Intelligence, Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have prior internship experience in AI/ML, familiarity with modern AI frameworks, and a strong desire to learn and grow in this field. You will work with the team to develop, fine-tune, and integrate LLMs, and contribute to building intelligent and scalable AI solutions. Key Responsibilities: 1. AI & LLM Development ● Assist in fine-tuning and customizing LLMs for specific use cases. ● Curate, preprocess, and manage datasets for training and evaluation. ● Experiment with AI model architectures and fine-tuning strategies under guidance. ● Support the integration of LLMs into web applications and APIs. 2. Data Handling & Analysis ● Perform data cleaning, transformation, and preparation for AI pipelines. ● Conduct exploratory data analysis and model evaluation. ● Work on data annotation and augmentation tasks when required. 3. AI Research Support ● Stay updated with the latest AI and NLP trends, research papers, and tools. ● Assist senior engineers in implementing state-of-the-art AI techniques. ● Contribute to internal technical documentation and knowledge sharing. 4. Testing & Optimization ● Help test AI models for accuracy, performance, and reliability. ● Identify issues in model predictions and suggest improvements. ● Support the deployment and monitoring of AI models on cloud or edge environments. 5. Collaboration & Learning ● Collaborate with developers, data scientists, and AI engineers. ● Participate in code reviews and brainstorming sessions. ● Continuously learn new AI technologies and frameworks. Qualifications: ● Education: Bachelor’s degree in Computer Science, Data Science, AI, or related field (or equivalent experience). ● Experience: Internship experience in AI/ML, NLP, or data science projects is mandatory. ● Skills: ○ Basic understanding of machine learning algorithms and NLP concepts. ○ Familiarity with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). ○ Knowledge of data preprocessing and dataset management. ○ Experience with REST APIs and version control (Git) is a plus. ○ Strong problem-solving and analytical skills. What We Offer: ● Competitive salary and growth opportunities. ● Hands-on exposure to LLMs and cutting-edge AI technologies. ● Collaborative and learning-focused environment. ● Guidance from senior AI engineers to build your career.

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0 years

0 Lacs

Gurugram, Haryana, India

On-site

Role Description: We are seeking a full-time Computer Vision Developer for an on-site role based in Gurugram . You will be responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. The role involves working on object detection, tracking, OCR, and edge AI deployment. You’ll collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Key Responsibilities: Develop and implement computer vision algorithms Optimize models for real-time inference on edge devices (e.g., Jetson, Raspberry Pi, ARM boards) Preprocess and annotate image/video datasets for training and validation Train, fine-tune, and evaluate deep learning models using frameworks like PyTorch or TensorFlow Integrate models into production pipelines, working with embedded engineers where required Conduct research on state-of-the-art vision techniques and evaluate applicability Debug, profile, and optimize performance for low-latency deployments Collaborate across software, hardware, and product teams for end-to-end solution delivery Qualifications: Strong hands-on experience in computer vision Proficiency with deep learning frameworks (PyTorch, TensorFlow, ONNX) Experience with pattern recognition, object detection, segmentation, or OCR Familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms is a plus Solid understanding of image processing, linear algebra, and optimization techniques Experience with data annotation tools (LabelImg, CVAT, Roboflow) Strong problem-solving and debugging skills Bachelor’s or Master’s degree in Computer Science, AI, or related fields Bonus: Experience with real-time video processing, GStreamer, or edge model quantization

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8.0 years

0 Lacs

Noida, Uttar Pradesh, India

On-site

Position Overview: We are seeking a seasoned and technically astute Manager / Sr. Manager with deep expertise in Annotation & Labelling for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS). The ideal candidate should possess hands-on experience managing complex, large-scale data labelling workflows across multi-sensor environments (Camera, LiDAR, Radar), while effectively engaging with global AI/ML engineering teams and enterprise clients. This role demands a strong grasp of sensor fusion, perception stack workflows, and data quality frameworks, along with the leadership capability to run high-throughput annotation projects across 2D, 3D, and semantic data pipelines. Key Responsibilities: Manage annotation pipelines across image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models. Apply strong understanding of autonomous driving scenarios such as lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification. Translate real-world edge cases into structured labelling guidelines tailored for different autonomy levels (L2–L4). Drive the end-to-end execution of annotation projects, including planning, resource allocation, execution, quality checks, and final delivery. Ensure timely delivery of high-quality, accurately labelled datasets that meet client SLAs. Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times. Ability to present Technical solutions, pilot walkthroughs, and technical discussions during pre-sales or delivery. A good understanding of emerging trends in ADAS/Autonomous space, such as simulation data, open datasets. Collaborate with business development teams to support proposals, solutioning, and client onboarding. Key Skills & Competencies: Technical & Domain Skills: Deep knowledge of annotation types: bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, object tracking. Familiarity with sensor modalities (camera, LiDAR, radar), time-synced data alignment, and calibration workflows. Understanding of the perception stack in AD/ADAS systems: from data ingestion to object detection and decision-making. Proven ability to lead cross-functional teams across geographies and deliver large-scale annotation projects. Strong stakeholder management, reporting, and documentation skills. Proficient in industry-leading annotation tools and open-source platforms. Familiarity with ML training feedback loops, model evaluation metrics, and how data quality affects AI performance Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 8+ years of experience in annotation/labelling, with at least 4-5 years in autonomous or ADAS domain. Experience managing teams and leading high-complexity annotation projects. Project management certifications (PMP, Agile, Six Sigma) are of added advantage

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0 years

0 Lacs

Pune, Maharashtra, India

On-site

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

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7.0 - 12.0 years

7 - 17 Lacs

Hyderabad, Chennai, Bengaluru

Work from Office

Role & responsibilities Skill : Data Annotators with Manual Tester Exp: 7 to 12 Years Notice period: Looking for Immediate Joiners Location : Remote (India) Skills: Data gathering, labeling, annotation, and quality assurance. Budget : 15LPA (Maximum) You will be responsible for performing various testing tasks, including data gathering, labeling, annotation, and quality assurance. The ideal candidate will have a strong attention to detail and willingness to learn. We are seeking a motivated and enthusiastic individual to join our team as a Manual Tester. In this role, you will be responsible for performing various testing tasks, including data gathering, labeling, annotation, and quality assurance. The ideal candidate will have a strong attention to detail and willingness to learn. Responsibilities : Gather, label, and annotate data for use in testing software products. Develop and execute test plans and test cases to ensure that software products meet quality standards. Work closely with developers to identify and resolve defects or issues found during testing. Participate in the design and development of test strategies, test plans, and test cases. Collaborate with cross-functional teams to ensure that software products are delivered on time and meet customer requirements. Report and track defects or issues found during testing using defect tracking tools. Perform regression testing to ensure that defects have been resolved and that software products meet quality standards. Ensure that all testing is conducted in accordance with established testing procedures and standards. Preferred candidate profile Strong attention to detail and willingness to learn. Basic knowledge of software testing methodologies and tools. Experience in data gathering, labeling, and annotation is a plus. Strong analytical skills with the ability to identify and report defects or issues. Strong communication skills with the ability to work effectively in a team environment. Ability to work independently with minimal supervision. Ability to prioritize and manage multiple tasks and assignments. Education Bachelor's degree in Computer Science, Software Engineering, or a related field Interested Candidates please share your updated profiles to mail id anusha.r@rrootshell.com Thanks & Regards, Anusha R Ph No: 7989093547

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6.0 years

0 Lacs

Noida, Uttar Pradesh, India

On-site

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: · Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: · Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Posted 11 hours ago

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0.0 years

0 Lacs

Chennai, Tamil Nadu

Remote

Chennai, Tamil Nadu, India Language Services Full-time Description: Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands. Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. This is Acolad - Content That Empowers, Anywhere. Acolad Content Solutions India Private Limited Sai Samuthra Plot No. 41B & 41 C North Phase 1st Floor, Sidco Industrial Estate Ekkatuthangal, Chennai-600032 Landmark: Near Ekkatuthangal Overbridge (Jaya TV Office) Phone: 04466841999 The Job Role: We are currently seeking Project Manager for AI Data Services to join our expanding team in the APAC/IST region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets. This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence. Key Responsibilities: Project Ownership: Lead the full lifecycle of large-scale AI data projects from initiation to completion. Team Coordination: Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration. Client Engagement: Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving. Risk & Quality Management: Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes. Resource & Budget Management: Allocate resources efficiently and manage project budgets to meet timelines and deliverables. Process Optimization: Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes. Remote Project Execution: Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress. Requirements: Tool & Tech Requirements: Reliable high-speed internet connection Functional phone or VoIP service for team and client communication Access to a computer with up-to-date software (Windows/Mac) Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom) Required Qualifications and Skills: High School Diploma or University Degree 5+ years of experience in project management , preferably in AI/data services or a related industry Leadership and stakeholder management skills Excellent command of English (written and spoken) Advanced proficiency in Microsoft Office Suite , particularly Excel Strong organizational, analytical, and problem-solving abilities Comfortable working independently and making data-driven decisions Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities Strong grasp of AI data annotation, collection, validation, and transcription workflows Nice to Have (Preferred Skills) Knowledge of scripting languages (e.g., Python, R ) for automation or data handling Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Understanding of basic data structures and modeling concepts Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.) Benefits: National and Festival Holidays Five days work week Medical Insurance

Posted 14 hours ago

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1.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

Description As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. You'll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. Key job responsibilities As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. You'll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. You'll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. You'll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and you'll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. Basic Qualifications 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS - Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders Preferred Qualifications Proficient with technical expertise such as - MS-Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3042583

Posted 18 hours ago

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5.0 - 7.0 years

0 Lacs

Visakhapatnam, Andhra Pradesh, India

On-site

Role / Designation - SME Project Manager Years of Experience - 5-7 years of relevant experience in Client Facing role in IT Services Education Qualifications - MBBS or equivalent degree Job Location - Vizag Other requirements - Ability to travel between iMerit offices up to 25% Responsibilities will include but not limited to the following: Full-time position as Project Manager (PM) for medical data projects, including working with different medical data types to produce datasets for machine learning purposes. Leading and managing annotation teams (clinicians, annotators, QA). Designing annotation protocols with clinical relevance Strong written and verbal communication skills; ability to communicate effectively with clients and cross-border colleagues. Leverage people, process and technical expertise to identify opportunities for quality & process design improvement to support the three fundamental outcomes – Faster, Cheaper, Better while upholding the company’s social impact mission. Ability to handle multiple competing priorities in a fast-paced environment. Strong Problem Solving / Troubleshooting skills Proven experience in building teams from scratch and growing individuals into Team Leads & managers. Initiate and develop partnerships with customers and customer success managers to define and evaluate service performance outcomes. Ability to keep your employees motivated, resolve conflicts and make hard decisions for your employees. Liaise with senior stakeholders in other functions on key dependencies and identify/create synergies for optimal client experience. Collaborate with delivery client teams and other stakeholders across iMerit, with an understanding of the diverse needs of each stakeholder Skill requirements In-depth knowledge of healthcare terminology and anatomy with a basic understanding of how annotated data is used in machine learning models, particularly in healthcare. Understanding of medical data types: radiology images, pathology reports, EMRs, or lab data, clinical workflows, and diagnosis processes.. Awareness of regulations like HIPAA (Health Insurance Portability and Accountability Act) to ensure patient data privacy and security. Passionate about technology, self-learner who keeps abreast with latest developments. Ability to communicate with both internal and external stakeholders Experience/Education Experience in Project Management for Healthcare Services Physician/MBBS with relevant experience Understanding of Patient history and diagnosis, prescription writing, medical abbreviations.

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5.0 years

0 Lacs

Chennai, Tamil Nadu, India

Remote

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands. Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. This is Acolad - Content That Empowers, Anywhere. Acolad Content Solutions India Private Limited Sai Samuthra Plot No. 41B & 41 C North Phase 1st Floor, Sidco Industrial Estate Ekkatuthangal, Chennai-600032 Landmark: Near Ekkatuthangal Overbridge (Jaya TV Office) Phone: 04466841999 The Job Role: We are currently seeking Project Manager for AI Data Services to join our expanding team in the APAC/IST region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets. This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence. Key Responsibilities: Project Ownership: Lead the full lifecycle of large-scale AI data projects from initiation to completion. Team Coordination: Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration. Client Engagement: Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving. Risk & Quality Management: Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes. Resource & Budget Management: Allocate resources efficiently and manage project budgets to meet timelines and deliverables. Process Optimization: Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes. Remote Project Execution: Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress. Requirements Tool & Tech Requirements: Reliable high-speed internet connection Functional phone or VoIP service for team and client communication Access to a computer with up-to-date software (Windows/Mac) Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom) Required Qualifications and Skills: High School Diploma or University Degree 5+ years of experience in project management, preferably in AI/data services or a related industry Leadership and stakeholder management skills Excellent command of English (written and spoken) Advanced proficiency in Microsoft Office Suite, particularly Excel Strong organizational, analytical, and problem-solving abilities Comfortable working independently and making data-driven decisions Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities Strong grasp of AI data annotation, collection, validation, and transcription workflows Nice To Have (Preferred Skills) Knowledge of scripting languages (e.g., Python, R) for automation or data handling Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Understanding of basic data structures and modeling concepts Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.) Benefits National and Festival Holidays Five days work week Medical Insurance

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0 years

0 Lacs

India

Remote

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We seek an experienced who will teach and train the LLM model by doing data annotation tasks with the help of their core skills. If you are excited to contribute to AI innovation, this position is perfect for you. Who you are & how you can contribute? We are looking for highly skilled and detail-oriented Proofreader with exceptional abilities in comprehension, grammar and consistency . If this describes you, we are excited to offer you an incredible opportunity to work remotely as a freelancer. Join us in contributing to the creation of data that powers the training of advanced AI models. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

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0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Job Description Work as part of WSP’s UK iCRC Water team in Bengaluru. Production of high-quality 3D BIM Models in Civil 3D, Revit/PLant 3D. Perform variety of 3D CAD modeling assignments under minimal supervision. Coordinate with Sr. Design Engineer/ BIM Coordinator/ Design Engineer for the information required to prepare BIM models and generate drawings as per specifications defined by our Client. Must have good 3D visualization capabilities. Must possess a good ability to work independently/ moderate supervision from BIM Coordinator. Collaborate with other designers, engineers, architects and clients to convert information into layout designs, drawings and models using AutoCAD, Civil3D, REVIT/ Plant 3D. Decipher information received from various formats (hand sketches, BIM Execution Plans and Architectural drawings). Experience within infrastructure especially WTP-WWTP projects is a plus. Should be interested and able to work in an international environment. Complete other duties as assigned appropriate for the designated grade level. Responsibilities Good command of written and verbal English. Candidate should have a clear and demonstrable technical understanding of standards and norms pertaining to UK Water Industry. Problem solving and originality. Computer literate, e.g. Word, Excel, PowerPoint and Outlook. Successful candidate will be a dynamic, self-motivated individual focused on delivery to the client and technical excellence. The role requires assisting BIM Coordinator and Sr. Design Engineer in managing several projects and becoming involved in design at an early stage. The ability to plan your deliverables against UK engineering standards for each stage of a project is a pre-requisite and training and guidance will be provided where necessary. Cultural awareness, conscientious and an open mind and excellent communication skills are essential requirements for the role. Ability to work under pressure and with moderate amount of supervision. Accountable and see the big picture of the project to achieve the best result for the client Careful and responsible. Understand the concept of working in a team. Willingness to travel to the UK for short term assignments and training. Strong attention to details and ability to make correct judgements. Qualifications Degree/Diploma in Engineering. Experience with Civil/ Architectural/ Structural/ Mechanical drawings, developing equipment layout and site plan drawings. Experience in leading the modeling related tasks and coordinating with client to get the deliverables completed on schedule and budget. Must possess a good working knowledge of core 3D CADD applications (such as Revit, Civil 3D, Plant 3D), as outlined above. Must have acceptable knowledge in handling Revit and other BIM application tools and concepts of BIM. Capable of producing Revit plans, sections, elevations, details, schedules etc. must be familiar with all Revit tools and creating and editing view range, drafting views, view templates, system families, materials, project/shared parameters, multi-category schedules, project title blocks, worksets, Revit category-based profile, annotation families etc., must be capable of linking multiple Revit files and work. Capable of handling Revit projects with guidance from superior and managing/ sharing work with others. Must be capable of performing Clash detection using Navisworks and Revit interference check, export Clash reports, review clash reports etc. Create Dynamic Blocks with parameters Use different 3D representations such as shading, conceptual etc. Export 3D geometry for use by subcontractors and outside agencies. Assist in the production of 2D sheets (plans, sections, 3D clips and details) from 3D/4D multi-discipline models (Transitional 2D techniques)

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4.0 years

2 - 3 Lacs

Gurgaon

On-site

· A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. · Excellent communication (written & oral), strong organizational skills and detail oriented · Strong analytical, problem-solving, and critical-thinking skills · Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 18 to 22 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: * Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities * Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics * Prepares data in business meetings/reviews and presents to senior managers and stakeholders * Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management * Owns and prioritizes work allocation based on business needs with a daily/monthly frequency * Owns the output quality of the process managed * Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions * Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas * Participates and provides adequate support in business reviews with mid-level and senior leadership * Participates in new- process onboarding, i.e., new process/ experiments with complete documentation * Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. * Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions * Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism * Provides regular coaching and feedback to direct reports * Devises and implements performance improvement plans for associates as applicable * Identifies and works with top performers for talent development and creates a leadership pipeline for own level * Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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1.0 years

2 - 3 Lacs

Gurgaon

On-site

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment • Provide floor support to Operations manager in running day to day operations working closely with Data Associates • Handle work prioritization and deliver based on business needs • Track and report ops metrics and ensure delivery on all KPIs and SLAs • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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0 years

0 Lacs

Hyderābād

On-site

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, AP, Hyderabad IND, TN, Chennai Corporate Operations

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0 years

4 - 6 Lacs

Chennai

On-site

Basic qualifications: * C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations * Strong analytical and problem-solving skills * Excellent attention to detail * Strong communication skills in Business English Experience with quality management tools and systems * Ability to work in strict compliance with internal guidelines * Understanding of data annotation and quality metrics * Proficiency in Excel and data analysis tools Ability to work effectively in a team environment * Adaptability to changing priorities and workloads We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : * Conduct quality audits on individual workflows and units delivered by Data Associates * Coach and calibrate Data Associates co-located at your site to improve performance * Provide detailed insights on Data Associate-level quality and identify root causes of issues * Perform manual reviews to validate automated quality measurement systems * Document and report quality findings accurately and efficiently * Perform audits to support deep dives and escalations as needed * Maintain strict compliance with quality standards and procedures * Work closely with Quality Audit Managers to improve processes and implement best practices * Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: * C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations * Strong analytical and problem-solving skills * Excellent attention to detail * Strong communication skills in Business English Experience with quality management tools and systems * Ability to work in strict compliance with internal guidelines * Understanding of data annotation and quality metrics * Proficiency in Excel and data analysis tools Ability to work effectively in a team environment * Adaptability to changing priorities and workloads Preferred qualifications: * Prior experience in a quality assurance role within the tech industry * Familiarity with AI and machine learning concepts * Experience with speech or language data Amazon is an equal opportunities employer. Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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0 years

1 - 1 Lacs

India

On-site

Key Responsibilities Annotate medical images with labels, segmentation masks, bounding boxes, or other metadata. Tag anatomical structures, abnormalities, and clinical findings. Evaluate and validate AI-generated predictions on medical data. Collaborate with healthcare professionals (radiologists, pathologists, clinicians) to ensure clinical accuracy. Follow strict annotation protocols and quality standards. Provide feedback to improve annotation tools and workflows. Maintain detailed documentation of annotation tasks and guidelines 3 2 4. Required Skills Medical Knowledge: Understanding of anatomy, pathology, and medical imaging modalities. Technical Proficiency: Experience with annotation tools and software Attention to Detail: High accuracy in labeling and categorization. Communication: Ability to collaborate with cross-functional teams and explain annotation decisions. Adaptability: Comfortable with repetitive tasks and able to meet deadlines consistently32. Preferred Qualifications Bachelor’s degree in Biology, Biomedical Engineering, Bioinformatics, Computer Science, or a related field. Familiarity with medical terminology and clinical workflows. Prior experience in medical imaging, healthcare Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid time off Schedule: Day shift Work Location: In person

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0 years

1 Lacs

Tiruchchirāppalli

On-site

Job Summary: Bigwigs Technologies is hiring a GIS LiDAR Analyst to join our geospatial team in Subramaniyapuram, Trichy. The ideal candidate will work on processing and analyzing LiDAR (Light Detection and Ranging) data and integrating it with GIS platforms to support mapping and data annotation projects. Key Responsibilities: Process and classify LiDAR point cloud data Create DEM, DSM, and other terrain models Annotate, filter, and manage LiDAR datasets Integrate GIS and LiDAR data using tools like ArcGIS/QGIS Maintain accuracy and quality in all outputs Support related data annotation and mapping tasks Eligibility Criteria: Any degree in Computer Science, Geography, or related field (BCA/B.Sc/B.E preferred) Basic knowledge of GIS software (ArcGIS, QGIS) Interest in LiDAR and spatial data analysis Freshers with relevant knowledge or training can apply Additional Skills (Preferred but not required): Knowledge of LiDAR processing tools like LAStools, Global Mapper, or LP360 Experience in data annotation or mapping projects Familiarity with 3D models and terrain analysis Perks: Growth opportunity in GIS & Data Tech domain On-the-job training for freshers Positive and collaborative work environment Job Type: Full-time Pay: Up to ₹15,000.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Work Location: In person

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4.0 years

6 - 13 Lacs

India

On-site

Key ResponsibilitiesGeneral Linguistic Tasks Support linguistic data collection and development of resources like lexicons and corpora Work with engineering teams to refine linguistic features and address language-specific challenges Provide linguistic analysis for model training, tuning, and error analysis ASR (Automatic Speech Recognition) Transcribe and annotate Gujarati audio with high accuracy Conduct quality checks on speech transcriptions and audio-text alignments Contribute to pronunciation lexicons and assist in acoustic model validation MT (Machine Translation) Translate text between Gujarati and English Review and post-edit machine-translated content for quality, accuracy, and fluency Develop and apply linguistic rules for improving translation output TTS (Text-to-Speech) Evaluate synthesized Gujarati speech for naturalness, clarity, and accuracy Perform text normalization and phonetic transcription for Gujarati content Assist in voice data validation and mapping phonemes to sounds Skills & Qualifications Bachelor's degree in Linguistics, Languages, or a related field Native or near-native fluency in Gujarati , with strong command of English 4–6 years of relevant experience in linguistics, NLP, or AI/ML language technologies Experience with tools for transcription, annotation, or translation is a plus Strong attention to detail and a passion for language technology Job Type: Permanent Pay: ₹600,000.00 - ₹1,300,000.00 per year Work Location: In person Speak with the employer +91 9877917759

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0 years

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Gurugram, Haryana, India

On-site

Role: Head of AI We are seeking an exceptional Head of AI to lead the research, development, and deployment of advanced AI and ML models that power our SaaS platform. This leadership role demands a rare combination of deep technical expertise, product intuition, strategic thinking, and a strong ability to drive impact at scale. You will be at the forefront of transforming ambitious AI concepts into production-ready solutions that deliver real business value. Key Responsibilities ● Define and own the AI roadmap and strategy in alignment with product and business goals. ● Architect and build state-of-the-art AI/ML systems and pipelines that are robust, scalable, and maintainable. ● Lead and mentor a high-performing team of machine learning engineers, data scientists, and applied researchers. ● Work closely with engineering, product, and design teams to integrate AI solutions seamlessly into user-facing features. ● Explore and apply the latest advancements in NLP, LLMs, generative AI, and other relevant domains to enhance our core product. ● Oversee data collection, annotation, and governance processes to fuel AI innovation responsibly and ethically. ● Drive the AI vision and shape the core of a category-defining product. ● Work alongside industry pioneers in an environment that rewards initiative and innovation. ● End-to-end ownership, fast decision-making, and an opportunity to see your work in production quickly. ● Be part of an ambitious, collaborative, and fast-paced team pushing the frontiers of AI. ● Perks & Benefits: Gym membership, health insurance, company-sponsored lunches, and more.

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0 years

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Gurugram, Haryana, India

On-site

Job Title: CAD Design Data Specialist – Mechanical/Industrial Engineering Location: On-site - Gurugram Job Type: Full-Time Job Overview: SoftAge is looking to hire Mechanical or Industrial Engineers with CAD expertise to contribute to a high-impact AI training project for a global client. Engineers will use standard CAD tools to execute realistic design tasks, record design actions, and annotate processes for training AI foundation models. Key Responsibilities: Perform hands-on mechanical and industrial design tasks using tools like Fusion 360 (F3D), SolidWorks, etc. Record all actions, design intent, and decisions in the required format during the design process. Evaluate existing CAD models and provide technical and/or aesthetic feedback as requested. Collaborate with internal leads and client team to follow task specifications accurately. Key Requirements: Bachelor’s Degree or equivalent in Mechanical Engineering, Industrial Design, or Industrial Engineering. Proficiency in CAD software such as Fusion 360, SolidWorks, or similar platforms. Ability to create and modify 3D CAD models with clarity of design intent. Experience in documenting design workflows and decisions is preferred. Good communication skills and ability to follow structured tasks. Prior experience in design annotation or working in AI data environments is a plus. Compensation & Benefits: Monthly Pay: 6LPA to 7.5LPA Opportunity to work on cutting-edge projects in AI and design automation Additional Information: All hired personnel must sign a confidentiality and invention assignment agreement approved by the client. This is an on-premise, project-based role. Performance and adherence to process quality will be closely monitored and audited. Interested candidates must fill out the form: https://forms.gle/Wtsy9XmXD1DZYWt89

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0.0 years

0 Lacs

Chennai, Tamil Nadu

On-site

Category: Software Development/ Engineering Main location: India, Tamil Nadu, Chennai Position ID: J0725-0909 Employment Type: Full Time Position Description: Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Experience: 7+ Yrs Work location: Chennai or Bangalore Employment Type: Full Time. Technical Skills Expertise in Java & Jakarta EE: Expert level proficiency in Java SE (minimum Java SE 11, preferred Java SE 17/21) Deep knowledge of Jakarta EE specifications, including JPA (EclipseLink), CDI, EJB, JAX-RS and Annotation Processing (Jakarta EE 10). Experience with Jakarta EE containers (WebSphere Liberty or similar). Cloud Platforms: Hands-on experience with cloud providers like AWS, Azure, or Google Cloud. Understanding of cloud-native development practices, including containers (Docker, Kubernetes) and serverless architectures. Asynchronous Programming: Proficiency in asynchronous programming paradigms using technologies like JMS, Kafka, or RabbitMQ. Familiarity with patterns to deal with asynchronous complexity like SAGA, command-response-pattern or inbox / outbox. Domain-Driven Design (DDD): Experience designing and implementing solutions following DDD principles. Strong understanding of strategic and tactical DDD, including bounded contexts, aggregates, entities, and repositories. Ability to translate principles like hexagonal architecture into practical software design. Distributed Systems: Knowledge of distributed system patterns like eventual consistency. Experience designing systems for high availability, scalability, and resilience in a cloud environment. APIs and Microservices: Proficiency in designing and developing RESTful APIs. Knowledge of microservices architecture like self-contained systems and tools like Quarkus or MicroProfile. Databases: Strong experience with relational databases (PostgreSQL). Deep understanding of central data modeling, transaction handling and concurrency control concepts. Knowledge of data storage best practices in distributed and asynchronous systems. Software Development Ecosystem: Hands-on experience of industry standard dev tools like source code management (Git), CI/CD (Jenkins, ArgoCD) and runtime tools (Docker / Podman). Architecture & Design Solution Architecture Ability to define and oversee the system’s architecture in line with the principles of DDD and cloud-based infrastructure. Experience in creating high-level and low-level designs, addressing scalability, maintainability, and performance. Event-Driven Architecture: Experience designing and building event-driven architectures, ensuring decoupling of services and efficient message passing. Security: Knowledge of security best practices and vulnerability prevention strategies in cloud environments. Team Leadership Mentorship: Ability to mentor junior and mid-level developers, guiding them through complex design and implementation challenges. Foster a culture of continuous learning and improvement within the development team. Collaboration: Strong collaboration with other teams (DevOps, QA, Product Management) to ensure alignment on technical and business goals. Experience working in agile development environments (Scrum/Kanban). Problem-Solving & Innovation Complex Problem-Solving: Ability to identify and solve complex technical problems, especially in areas related to system concurrency, data consistency, and distributed processing. Technical Innovation: Stay updated with the latest advancements in Jakarta EE, DDD, and cloud technologies, promoting their adoption when appropriate. Strong track record of driving innovation and introducing best practices. Soft Skills Strong Communication: Excellent verbal and written communication skills, able to convey technical ideas clearly and concisely to both technical and nontechnical stakeholders. Decision-Making: Ability to make well-informed decisions under pressure, particularly in high-stakes scenarios involving the production system. Adaptability: Comfortable with evolving technologies and environments, especially with the rapid changes in cloud and asynchronous systems CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Skills: Java Java Enterprise Editions JEE Spring Boot Application Design What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

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0 years

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Hyderabad, Telangana, India

On-site

Description We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key Job Responsibilities Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal Job Description Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred Qualifications Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. Basic Qualifications PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3041671

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Exploring Annotation Jobs in India

The annotation job market in India is rapidly growing, with many companies seeking professionals who can accurately label and categorize data for machine learning and artificial intelligence projects. Annotation roles are crucial in the development of AI models and are in high demand across various industries.

Top Hiring Locations in India

  1. Bangalore
  2. Pune
  3. Hyderabad
  4. Mumbai
  5. Delhi

Average Salary Range

The average salary range for annotation professionals in India varies based on experience levels. Entry-level positions can expect to earn around ₹3-5 lakhs per annum, while experienced professionals can earn upwards of ₹10 lakhs per annum.

Career Path

In the field of annotation, a typical career path may include roles such as Data Annotator, Annotation Specialist, Senior Annotation Analyst, and Annotation Manager. As professionals gain experience and expertise in annotation, they may have the opportunity to move into leadership positions such as Annotation Team Lead or Annotation Project Manager.

Related Skills

In addition to annotation skills, professionals in this field may benefit from having knowledge of data labeling tools, understanding of machine learning concepts, proficiency in data analysis, and strong attention to detail.

Interview Questions

  • What is data annotation and why is it important? (basic)
  • Can you explain the difference between image annotation and text annotation? (medium)
  • How do you ensure the quality and accuracy of annotated data? (medium)
  • Have you worked with any data labeling tools before? If so, which ones? (basic)
  • What challenges have you faced in previous annotation projects and how did you overcome them? (medium)
  • How do you handle large volumes of data for annotation tasks? (medium)
  • Can you describe your process for categorizing data accurately? (medium)
  • Have you ever had to prioritize annotation tasks? How did you decide which tasks to focus on first? (medium)
  • How do you stay updated on the latest trends and best practices in data annotation? (basic)
  • Can you provide an example of a complex annotation project you have worked on? (advanced)
  • How do you ensure confidentiality and data security while working with sensitive information? (medium)
  • How do you handle disagreements or discrepancies in annotations among team members? (medium)
  • What metrics do you use to measure the effectiveness of your annotation work? (medium)
  • How do you manage time and prioritize tasks in a fast-paced annotation environment? (medium)
  • Are you familiar with any specific industry standards or guidelines for data annotation? (basic)
  • Can you explain the concept of inter-annotator agreement and its importance in annotation projects? (advanced)
  • How do you handle ambiguous or unclear instructions for annotation tasks? (medium)
  • Have you ever had to re-annotate data due to errors or inconsistencies? How did you address this issue? (medium)
  • How do you handle feedback from stakeholders or clients on annotated data? (medium)
  • What do you enjoy most about working in data annotation? (basic)
  • How do you ensure consistency in annotations across different projects or datasets? (medium)
  • Can you provide an example of a time when you had to meet a tight deadline for an annotation project? How did you manage to deliver on time? (medium)
  • How do you document your annotation processes and decisions for future reference? (medium)
  • What are your thoughts on the future of data annotation and its role in AI development? (basic)

Closing Remark

As you prepare for interviews in the annotation field, remember to showcase your attention to detail, problem-solving skills, and ability to work efficiently with large volumes of data. With the increasing demand for annotation professionals in India, now is the perfect time to explore opportunities in this exciting and evolving field. Good luck!

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