1316 Annotation Jobs - Page 4

Skill required: Marketing Operations - Digital Asset Management (DAM) Designation: Digital Content Management Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Responsible for uploading and managing assets with standard Taxonomy (correct metadata tagging) and correct Digital rights management in Digital Asset Management system making it available for reuse. Subject matter expert in key concepts, process flows and defined scope of librarian tasks. Take the initiative to understand the complete asset lifecycle and collaborate with other channels for a complete picture. Accountability for delivery towards the goals and objectives shared by the Platform Directors and Content Management lead for Marketing Content Reuse and meet the client Global business outcomes. The individual is responsible for liaising with markets as well as agencies to ensure smooth delivery of operations for Library Services team. Accountable for the continuous improvement in upload TAT, manage the upload.Create workarounds and highlight anomalies when faced with technical challenges in the tool. Work effectively with team members and requestors, understand the requirements, and provide appropriate and viable business solutions Manage the upload queue to ensure timelines are met and escalation matrix is followed as required The role will be aligned to our Digital Asset Management team which is responsible for making management tasks and decisions surrounding the ingestion, annotation, cataloging, storage, retrieval, and distribution of digital assets. They act as a sort of librarian – archivist, organizer, and guardian of a company or organization s files, photos, video, audio, and other digital content. This is a highly collaborative role that can encompass responsibilities such as the proper management of usage rights and file permissions. What are we looking for? Graduate required. Minimum 3 year of experience in Digital Marketing with a minimum of 1 year of experience in upload and download of digital assets, content management, ensuring quality of content and meeting the minimum requirements of content standards as set by the client Knowledge of Pharma industry and marketing. Experience in working on DAM platform (Digital Asset Management) MSOffice - Able to effectively use MS Excel, MS Outlook, MS PowerPoint Has excellent verbal and written communication skills Has experience in team management and client management Experience participating in a collaborative team environment Experience in vendor management Highly organized, detail oriented, and results focused Demonstrate ability to think strategically Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts, Any Graduation

About Us At RNT Health Insights, we are developing Breakthrough Medical Devices to improve the accuracy of detection of early-stage upper gastrointestinal cancers. Our FDA-Breakthrough designated medical devices help in detecting early-stage gastric and esophageal cancers in real-time during endoscopic procedures, empowering gastroenterologists with split-second insights and improving patient outcomes. Join our multidisciplinary team of engineers, clinicians, and regulatory experts passionate about pushing the boundaries of med-tech, and help deliver life-saving insights in real time. Role Overview We are looking for dedicated Full-Time Medical Data Annotators and Interns to meticulously review and annotate endoscopic video data. Your role will involve accurately labeling medical images and videos to support the development of our AI-assisted cancer detection technologies. You will collaborate closely with our clinical, engineering, and AI teams to ensure high-quality data annotation, directly impacting the accuracy and efficacy of our medical solutions. What You'll Do Review and annotate endoscopic videos and images, accurately identifying and marking abnormalities such as lesions, polyps, ulcers, and areas suspicious for cancer. Follow precise annotation protocols and guidelines to ensure consistency and accuracy of labeled data. Collaborate closely with clinical experts to validate annotations and resolve discrepancies. Assist in quality assurance checks to maintain high standards of annotated datasets. Document annotation processes meticulously, ensuring compliance with medical-device regulatory standards. Provide feedback to improve annotation processes, protocols, and tools. Required Qualifications What We're Looking For: Previous experience with medical data annotation or related annotation activities. Excellent attention to detail, strong observational skills, and patience for repetitive tasks. Basic understanding of human anatomy and pathology, particularly gastrointestinal diseases. Experience working with computer systems, medical imaging software, and annotation platforms. Strong communication and collaboration skills. Preferred Qualifications Bachelor's degree or pursuing a degree in Medicine, Biology, Biomedical Sciences, Biotechnology, Nursing, or a related healthcare field. Familiarity with gastrointestinal endoscopy procedures. Knowledge of medical terminology specific to gastroenterology. Experience with annotation software tools such as Labelbox, CVAT, or similar. Understanding of regulatory considerations in medical data handling (e.g., FDA, ISO 13485). Why You'll Love Working with Us We'll match or exceed industry-standards in compensation to ensure you share in our success. Directly contribute to groundbreaking medical technology that saves lives Work alongside leading clinicians and AI researchers in a fast-paced startup Gain hands-on experience with cutting-edge AI and medical-device technology. Flexible work hours, and a supportive, mission-driven culture

We’re #Hiring : #MedicalDocumentationReviewer | Pune, India (On-site) Join our team as a #MedicalDocumentationReviewer , where you'll leverage your clinical expertise and passion for medical data to enhance AI-driven healthcare solutions. 🔹Experience: 3 to 5 years 🔹 Location: Work from Office | Pune, India 🔹 Job Type: Full-time 🔹 Notice Period: Immediate Joiners / 15-30 Days Key Responsibilities: ✔ Clinical Data Annotation Use your healthcare expertise to annotate and label electronic health records, clinical notes, discharge summaries, and trial documentation with precision and care. ✔ Quality Assurance Ensure accuracy, consistency, and adherence to protocols across all annotations. Provide feedback and perform peer reviews to maintain high data standards. ✔ Process Improvement Collaborate with team leads to refine annotation guidelines, improve workflows, and implement process enhancements for greater efficiency. ✔ AI Tools & Technology Work with advanced annotation tools (e.g., Doccano) and EHR systems (e.g., Epic, Cerner). Basic understanding of SQL or data querying is a bonus. Requirements: ✅ Educational Background: #BDS , #BSc ./ #MSc . #Nursing , #BPharm / #MPharm , or related field ✅ Technical Skills: Proficiency in English, annotation tools, EHR systems, & basic data querying 📩 If you’re interested or know someone who’d be a great fit, please apply https://lnkd.in/gUZD-gmW

Job Description You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required Qualifications, Capabilities, And Skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred Qualifications, Capabilities, And Skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

DESCRIPTION As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. Maintaining high internal quality of the processes by performing quality audits/verification. Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. Track daily task completion status using recommended tools and provide individual status reports. Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. Offering remedial instruction in tool usage and other topics as required. Requirements: Strong command of the English language, including grammar, syntax, and vocabulary. Background in linguistics, creative writing, computational linguistics, or a related field is preferred. Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required Flexibility and Interest to do repetitive tasks is required. High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Passion for language, technology, and AI advancements. Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. BASIC QUALIFICATIONS Bachelor's degree Speak, write, and read fluently in English Knowledge of Microsoft Office products and applications Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). PREFERRED QUALIFICATIONS Bachelor's degree in English, Journalism, Marketing, or a related field (preferred). Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus. 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, TN, Chennai Ring, Blink, & Amazon Key Operations, IT, & Support Engineering

DESCRIPTION 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 QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French 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 PREFERRED QUALIFICATIONS 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. Job details IND, TN, Chennai IND, HR, Gurugram Editorial, Writing, & Content Management

Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with " Blender Specialist (3D Mesh Creation) " to participate in projects. Total Openings: 1 Required Skills: - Blender and graphic design expertise - Ability to work on repetitive tasks efficiently and effectively with minimal errors - Excellent communication, analytical, and with good reasoning skills - Possess high motivation with the desire to learn - Good understanding of spoken and written English Language - Excellent team player mentality, collaborative in nature, attention to detail, and proven ability to manage priorities. Experience Required: 2 - 3 Years Experience in Blender software. Gender: Male/Female Job Type: Full-Time CTC: Rs, 30,000 TO 35,000 PM Direct Walk in Interview dates: 21st to 24th July'25 Interview Time: 9:00 am to 2:00 pm Interview Venue - Cogito C-40, C Block Sector- 59 Noida-UP- 201307 Old Landmark: R Systems (Red Building) Contact @ HR Department (Basement Area) ----- Regards Team HR Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. The organization offers accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you will gain a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. If you are looking to kick-start your career, Indegene understands the significance of the initial years in shaping your professional journey. The company promises a differentiated career experience where you will work at the exciting intersection of healthcare and technology while being mentored by industry experts. Indegene offers a global fast-track career path aligned with the organization's high-speed growth. Indegene is a purpose-driven organization that focuses on enabling healthcare organizations to be future-ready. Customer obsession is the driving force behind all actions, ensuring that customers achieve their desired outcomes. The company is known for its bold actions, nimble decision-making, and industrious work approach. As part of the Scientific and Medical content teams at Indegene, you will be involved in various projects across the product life-cycle, including regulatory, safety, medical affairs, and commercial solutions for clients. Leveraging clinical and scientific knowledge, the team addresses business problems to reach target audiences such as physicians and patients across different therapy areas. In this role, you will have the opportunity to learn and collaborate with healthcare clients on diverse projects. Key Responsibilities Include: - Developing, reviewing, and editing scientific and medical content to meet International Quality Standards and client organization guidelines across various capabilities - Creating content for regulatory, safety, medical affairs, medico-marketing, training, Continuous Medical Education (CME), commercial campaigns, and digital marketing channels - Preparing content tailored to target audiences and deployment modes within tight timelines for multiple deliverables - Ensuring content is of high quality in terms of depth, comprehensiveness, and timelines - Collaborating with team members to blend content with creative and technology elements as per client needs - Defending content based on scientific evidence and facts - Demonstrating a passion for learning and writing across different therapy areas and markets with strong communication and presentation skills - Staying updated on technical, scientific, and regulatory developments to apply learnings effectively This role offers equal opportunity and is based in Bangalore, KA, IN.,

Description Hundreds of millions of customers. Billions of products for sale. Billions of queries and billions of dollars in revenue. The scale and impact of Amazon Search is huge. The Amazon Search team creates powerful, customer-focused search solutions and technologies. Amazon's Metrics, Insights and Data Annotation for Search team is looking for a program manager. Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Expectations from this role is to spearhead some of our human annotation projects as the central point of contact, collaborating closely with Science teams, Language Engineers, and our Quality and Operations teams to deliver top-tier data that fuels search accuracy. You'll lead multiple projects with varying cadences, managing them end-to-end within budget, and contribute to optimizing the broader MIDAS team's annotation program. Key job responsibilities Responsibilities include: 1) create and maintain project lifecycle artifacts, 2) manage timelines for projects by identifying risks and mitigations, 3) identify annotators workforce needs (3P vs internal), 4) own the 3P vendor budget tracking for their programs, 5) own the vendor management processes, 6) ensure timely handoffs across teams, 7) ensure data quality standards are met. Additionally, our program managers own the annual intake process of labeling requests from all existing partner teams in Search. Key Job Responsibilities Define program requirements and drive partners to meet goals. Manage operations of the projects, including schedule, budget, logistics, and resource planning. Partner closely with cross-functional stakeholder teams to develop project specifications. Manage multiple projects at one time and prioritize as necessary. Continuously evaluate data tools and processes and offer solutions to ensure they are efficient and scalable. Communicate ideas effectively, verbally and in writing, to a wide range of audiences including Directors and VPs. Foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues (build consensus). Proactively identify risks and bring them to the attention of your team and stakeholders with plans for mitigation before they become roadblocks. A day in the life Strategic Collaboration with Science Teams: Partner with Science teams to define requirements for both ongoing and prospective human annotation projects. Operational Oversight & Status Management: Maintain real-time awareness of project status by regularly syncing with the Operations team. Quality Assurance & Process Deployment: Consistent application of quality processes across all active projects. Financial review: Track program budgets, identifying opportunities for efficiency and ensuring adherence to financial plans. Stakeholder Communication: Drive clear and concise communication with leadership, providing timely updates on program. Cross-Functional Engagement & Strategy Development: Engage with diverse cross-functional teams to manage current projects and future program strategies. About The Team We are the MIDAS team (Amazon's Metrics, Insights and Data Annotation for Search). Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Basic Qualifications 3+ years of program or project management experience 3+ years of defining and implementing process improvement initiatives using data and metrics experience Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL Experience using data and metrics to determine and drive improvements Experience working cross functionally with tech and non-tech teams Experience identifying and resolving complex issues Preferred Qualifications 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules 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 - Karnataka - A66 Job ID: A3016063

Description Hundreds of millions of customers. Billions of products for sale. Billions of queries and billions of dollars in revenue. The scale and impact of Amazon Search is huge. The Amazon Search team creates powerful, customer-focused search solutions and technologies. Amazon's Metrics, Insights and Data Annotation for Search team is looking for a program manager. Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Expectations from this role is to spearhead some of our human annotation projects as the central point of contact, collaborating closely with Science teams, Language Engineers, and our Quality and Operations teams to deliver top-tier data that fuels search accuracy. You'll lead multiple projects with varying cadences, managing them end-to-end within budget, and contribute to optimizing the broader MIDAS team's annotation program. Key job responsibilities Responsibilities include: 1) create and maintain project lifecycle artifacts, 2) manage timelines for projects by identifying risks and mitigations, 3) identify annotators workforce needs (3P vs internal), 4) own the 3P vendor budget tracking for their programs, 5) own the vendor management processes, 6) ensure timely handoffs across teams, 7) ensure data quality standards are met. Additionally, our program managers own the annual intake process of labeling requests from all existing partner teams in Search. Key Job Responsibilities Define program requirements and drive partners to meet goals. Manage operations of the projects, including schedule, budget, logistics, and resource planning. Partner closely with cross-functional stakeholder teams to develop project specifications. Manage multiple projects at one time and prioritize as necessary. Continuously evaluate data tools and processes and offer solutions to ensure they are efficient and scalable. Communicate ideas effectively, verbally and in writing, to a wide range of audiences including Directors and VPs. Foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues (build consensus). Proactively identify risks and bring them to the attention of your team and stakeholders with plans for mitigation before they become roadblocks. A day in the life Strategic Collaboration with Science Teams: Partner with Science teams to define requirements for both ongoing and prospective human annotation projects. Operational Oversight & Status Management: Maintain real-time awareness of project status by regularly syncing with the Operations team. Quality Assurance & Process Deployment: Consistent application of quality processes across all active projects. Financial review: Track program budgets, identifying opportunities for efficiency and ensuring adherence to financial plans. Stakeholder Communication: Drive clear and concise communication with leadership, providing timely updates on program. Cross-Functional Engagement & Strategy Development: Engage with diverse cross-functional teams to manage current projects and future program strategies. About The Team We are the MIDAS team (Amazon's Metrics, Insights and Data Annotation for Search). Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Basic Qualifications 3+ years of program or project management experience 3+ years of defining and implementing process improvement initiatives using data and metrics experience Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL Experience using data and metrics to determine and drive improvements Experience working cross functionally with tech and non-tech teams Experience identifying and resolving complex issues Preferred Qualifications 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules 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 - Karnataka - A66 Job ID: A3016063

Company Description BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average. BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance. BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers. BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India. We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities. Job Description We are seeking experienced Python developers to join an exciting AI project supporting one of the world's top 15 companies. This role involves reviewing and validating AI-generated code to ensure quality, accuracy, and adherence to industry standards. As a Python Code Reviewer , you will be responsible for auditing and validating AI-generated Python code evaluations. This critical role ensures that AI outputs meet high standards for functionality, clarity, and correctness while adhering to specific project guidelines. Key Responsibilities Code Review & Validation: Evaluate AI-generated Python code snippets for accuracy, functionality, and adherence to prompt instructions Quality Assurance: Review annotator assessments and ensure all evaluations meet internal quality benchmarks Feedback & Documentation: Provide clear, actionable feedback on incorrect assessments and document technical issues Testing & Validation: Validate code functionality using proof-of-work methodologies and Docker-based sandbox environments Process Improvement: Identify patterns in evaluation errors and contribute to continuous quality enhancement Compliance: Ensure all reviews align with established project guidelines and frameworks Qualifications Required Qualifications Technical Requirements 5-7+ years of hands-on Python development experience Deep Python expertise including syntax, testing strategies, debugging, and edge case handling Docker experience for containerized testing and isolated code validation environments QA background with structured workflows, annotation processes, or similar review pipelines Professional Requirements Excellent written communication skills with ability to document and explain technical concepts clearly Professional English fluency (B2+ level or above) Independent work capability with strong attention to detail Immediate availability to start Preferred Qualifications Experience with AI/ML model evaluation, reinforcement learning (RLHF), or large language model tuning Familiarity with annotation tools or data labeling platforms Knowledge of secure coding practices and environment replication Previous experience in code review or technical auditing roles

About Soul AI: 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. Who you are & how you can contribute? We are seeking a Biology expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits: Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

Job Title: BIM Engineer - Revit Job Description We are seeking a highly skilled BIM Engineer who is proficient in Revit and other essential design software. The ideal candidate will have a comprehensive understanding of BIM procedures, strategies, and workflows, and will be able to apply this knowledge to integrate telecommunications system components with building design. Responsibilities Utilize Revit, AutoCAD, and BIM360 to create and manage digital models. Develop plans, sections, and elevations using Revit. Create and modify family types including nested, system, and adaptive families. Apply view templates, documentation, and annotation skills to enhance project presentations. Integrate telecommunications system components with building designs. Use and modify Dynamo scripts to improve workflow efficiency. Essential Skills Proficient in the latest version of Revit. Experienced with AutoCAD and BIM360. Strong understanding of BIM procedures and workflows. Ability to create detailed plans, sections, and elevations. Familiarity with family creation including nested, system, and adaptive families. Additional Skills & Qualifications Experience with Navisworks and Bluebeam is advantageous. Knowledge of Dynamo and ability to modify scripts. Experience in Scan to BIM processes. Work Environment The work environment involves using advanced design software including Revit, AutoCAD, and BIM360. The role requires attention to detail and the ability to work collaboratively with a team to integrate various system components into building designs. Diversity, Equity & Inclusion At Actalent, Diversity And Inclusion Are a Bridge Towards The Equity And Success Of Our People. DE&I Is Embedded Into Our Culture Through Hiring diverse talent Maintaining an inclusive environment through persistent self-reflection Building a culture of care, engagement, and recognition with clear outcomes Ensuring growth opportunities for our people Actalent is an equal opportunity employer. About Actalent Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day. Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com.

Job Title: Python Developer Experience Required: 3-5 Years Location: Remote Employment Type: Full-Time Role Overview: This role is for high-caliber backend engineer with deep proficiency in Python and a proven track record of building large systems at speed. This role focuses on implementing real-world services (e.g., Gmail, Jira) as modular APIs using a test-driven approach, with an emphasis on engineering excellence, crisp documentation, and robust database design. Please note: this is a software engineering role, not one in data annotation, data science, or analytics. What does day-to-day look like: Implementing real-world services as modular, production-ready APIs Creating and maintaining excellent, developer-friendly documentation Following a strict Test Driven Development approach — tests first, code second Building at maximum velocity without compromising on reliability or maintainability Designing and iterating on scalable database schemas for each service integration Requirements: 3+ years of experience with practical, production-grade Python Hands-on experience with Test Driven Development (TDD) Proven ability to build and scale large systems at high velocity Strong fundamentals in database schema design and data modeling Able to work at a rapid pace without sacrificing clarity or correctness [Bonus] Familiarity with LLM function calling protocols and paradigms

Position : Machine Vision & Imaging AI Engineer Location : THub Hyderabad Company : Meridian Data Labs Type : Full-time | On-site Experience : 2–6 years (flexible for the right candidate) About Us Meridian Data Labs is a deep-tech startup working at the intersection of computer vision, AI/ML, and edge computing . We design and build cutting-edge imaging systems and AI solutions for defense, aerospace, and industrial clients. Our work spans robotics, video analytics, inspection systems, and 3D reconstruction. Role Overview We are seeking a hands-on engineer with strong expertise in Machine Vision and AI/ML for Image and Video Processing . You will help develop high-performance vision systems that combine precise hardware with intelligent software for real-world applications. Key Responsibilities Machine Vision Design and integrate camera systems (industrial, stereo, depth, thermal, etc.) Select and configure lenses, lighting setups (structured, backlight, coaxial, etc.) Interface with frame grabbers, image acquisition libraries (e.g., GenICam, Spinnaker, etc.) Calibrate vision systems (intrinsic/extrinsic, multi-camera setups) Work closely with hardware and robotics teams for vision system integration AI/ML for Imaging and Video Develop deep learning models for object detection, segmentation, classification Build pipelines for image/video preprocessing, augmentation, and real-time inference Work on 3D reconstruction from stereo, multi-view, or structured light data Implement and optimize models for deployment on edge devices (NVIDIA Jetson, etc.) Collaborate on dataset creation, annotation, and model validation Required Skills & Qualifications B.E./B.Tech or M.S./M.Tech in Computer Science, ECE, Robotics, or related fields Strong knowledge of computer vision and imaging fundamentals Experience with OpenCV, PyTorch/TensorFlow, and image processing libraries Experience with industrial cameras (e.g., Basler, FLIR), lighting systems, and lenses Understanding of camera interfaces (USB3, GigE, MIPI, etc.) Hands-on experience in AI model training, deployment, and tuning for real-world data Bonus (Good to Have) Exposure to robotics and automation systems Experience in real-time video analytics or embedded systems Experience with 3D data (point clouds, photogrammetry, stereo vision) Familiarity with frameworks like ROS, NVIDIA DeepStream, Open3D, etc. What We Offer Opportunity to work on high-impact, mission-critical systems Cross-disciplinary learning in hardware-software integration Fast-paced startup environment with real ownership Work with cutting-edge tech in defense and aerospace domains To Apply : Send your resume and portfolio (if available) to somesh@meridiandatalabs.com

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Search Ops team 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 Responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 10 to 15 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 Basic Qualifications Graduate degree in any discipline 4-6 years’ work experience with at least 1 year in managing people directly Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback Ability to work cross-functionally and with employees across teams with different skill sets Proven ability to report and analyze data. Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level) Confident to work with large volumes of data Demonstrated ability to initiate and drive process improvements Preferred Qualifications 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. Company - ADCI - Karnataka - A66 Job ID: A2899238

Job description Take sketches and initial architectural designs created by the Principal, Project Manager, or Supervisor and create hard-liner drawings from them in Revit and AutoCAD. Should know Google sketch up, Enscape, & Lumion, 3D Walkthrough will be an added advantage. Create photorealistic renderings in Revit to express design ideas to project stakeholders. Accurately measure and then draw existing field conditions in Revit and AutoCAD. Assist in the creation of various materials for client presentations. Assist in the completion of document packages as part of project milestone submissions. Qualifications for this position include: Bachelor's Degree/Diploma in Architecture/Interior designing with 1-3 years' experience working in an Architectural office or related field. Strong proficiency in Revit is a necessity, including the use of all 3D modelling tools and 2D annotation tools. Applicants must be comfortable Job Type: Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Provident Fund Education: Bachelor's (Preferred) Experience: 5S: 2 years (Preferred) Location: Bengaluru, Karnataka (Required) Work Location: In person

Key Responsibilities: Annotate images, videos, audio, or text data using internal tools. Ensure high accuracy and consistency in labeling based on defined guidelines. Review and correct annotations performed by other team members as part of quality control. Collaborate with data scientists and engineers to improve annotation processes. Provide feedback on tools and guidelines to enhance efficiency and model performance. Requirements: Bachelor's degree in any Science discipline (e.g., B.Sc, B.Tech, BCA). Strong attention to detail and ability to work with repetitive tasks. Basic understanding of AI/ML concepts is a plus. Familiarity with annotation tools and basic computer skills. Good communication and teamwork skills. Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: MS Office: 1 year (Preferred) Data entry: 1 year (Required) Work Location: In person

Description As a key member of our team, you will support our product development teams with insights gained from analyzing company data with respect to potential opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods. The Senior Data Scientist II will lead data modeling and machine learning projects using a variety of data tools, modeling approaches and algorithms. You will also design experiments to evaluate models by conducting AB testing and simulations. Key Responsibilities Able to translate product design requirements into pipeline of heuristic and stochastic algorithms Understand exploratory data analysis for product feasibility studies and ground truth testing Execute SQL queries and/or python scripts to manipulate, analyze and visualize data Able to implement explainable AI solutions and rationalize model inferences Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews Works with Machine learning engineer/architect to deploy data products into production Follows and understands legal data use restrictions Contributes to algorithm library development and design for ML, NLP and XAI Delivers product pipelines for deployment to production Builds applications that integrate third party and self-hosted foundation models. Fine tunes open source foundation models (LLMs, VLMs) with proprietary data Develops autonomous AI inference and tool use orchestration using ReAct AI agents Provides root cause analysis for machine learning model inference Completes data analysis or processing tasks as directed Documents data product end to end design and development Data annotation, labeling and other related data generation activities Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members Presents and holds data product updates and trainings Updates team on data product performance Education & Experience Strong problem solving skills with an emphasis on product development. 6+ years of experience developing data science products Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets. Hands-on generative AI development Experience using foundation models (LLMs, VLMs) Experience with model fine tuning of open source foundation models with proprietary data Experience leveraging AI metrics for monitoring and value tracking Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries. Deep knowledge of data science concepts and related product development lifecycle Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc. Working knowledge of machine learning tuning optimization procedures Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Preferred Experience with big data analytical frameworks such as Spark/PySpark Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc. Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.

Title: UI Code Review Consultant (React, CSS, HTML, Figma, Design Systems, AI models (LLMs)) REMOTE Our UX Design SaaS client released a beta version of a new tool/server that is the standard for how applications provide context to LLMs. Until recently, the only way to provide design context to AI tools was to feed an image of a design or an API response to a chatbot. This has changed with the recent advent of this new tool/protocol, which allows developers to bring context into agentic coding tools like Copilot in VS Code, Cursor, Windsurf, and Claude Code. Whether it’s creating new atomic components with the proper variables and stylings or building out multi-layer application flows, they believe this server/tool will provide a more efficient and accurate design-to-code workflow. MUSTS: -Strong UI Code review experience (React, Typescript, CSS, HTML) -Comfortable navigating and interpreting Design Systems documentation and Storybooks (e.g., https://storybook.js.org/) -Able to understand and work with Figma designs for UI implementation and annotation alignment.

SAP UI5 and Fiori - Expertise in SAP UI5 & Fiori - Good knowledge of Fiori Elements, UI Annotations. - Strong foundation in JavaScript, HTML, CSS, XML/JSON, Restful API. - Good knowledge on UI5 controls & implementation details. - Expertise in development with Web IDE. - Strong understanding of SAP Fiori design guidelines. - Good Fiori debugging skills using browser. - Good knowledge of Fiori launchpad configuration (Group & Catalogs)

Millennium IMS Pvt Ltd is on the lookout for experienced Python professionals to join as Freelance Code Reviewers for a pioneering AI/LLM project. You will audit Python code evaluations submitted by data annotators assessing AI-generated code — playing a key role in improving the quality of large language models through high-quality human feedback . 🚀 Highlights 💼 FREELANCE – Work as per your availability ⏰ Flexible work hours – ideal for working professionals 🏠 100% Remote – work from the comfort of your home 💸 Hourly payouts – get paid for the hours you contribute 🌐 Contribute to cutting-edge AI projects 1500 INR to 1800 INR per/hour 🔧 Responsibilities Review and audit Python code evaluations submitted by annotators. Check for code correctness, security, and adherence to prompt instructions. Use Docker and code execution tools to validate functionality (when applicable). Identify and flag inaccurate feedback or scoring by annotators. Provide clear, concise, and constructive written feedback. Ensure compliance with Project Atlas standards and evaluation guidelines. ✅ Required Qualifications 5 to 10 years of experience in Python development, code review, or QA. Expert-level understanding of Python syntax, edge cases, testing, and debugging. Hands-on experience with Docker and isolated code execution environments. Excellent written communication for detailed feedback reports. Prior experience with structured QA or annotation review workflows. English proficiency at B2, C1, C2, or Native level. ✨ Preferred Skills Experience with LLM model evaluation or Reinforcement Learning from Human Feedback (RLHF) . Familiarity with annotation tools or platforms. Ability to review and run code in varied, containerized environments.

Note : This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

Note : This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

Responsibilities: Assist senior modelers in creating Revit models and 2D sheets. Perform redline markups, basic family creation and sheet setups. Handle model cleanup, level alignment and annotation tasks. Qualifications: B.E./ B.Tech or Diploma in Civil, Mechanical, or Architecture. 1–3 years of Revit experience (internship can be considered). Basic understanding of building systems and BIM workflows. Willing to learn and adapt quickly. Job Types: Full-time, Permanent, Fresher