1283 Annotation Jobs - Page 4

You will be working as a computational linguist in Pashan, Pune on a full-time contractual basis. The ideal candidate should have an MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. Research publications in NLP, Semantics/Lexicology, or Discourse Studies are highly desirable. Your skill sets should include proficiency in Hindi and other Indian/foreign languages, linguistic typing, and dataset/lexicon creation. Experience in NLP Tagging, Annotation, and ML-labelled data entry is required. Familiarity with Ontologies, PoS taggers, NER, and other language processing tools (English/Hindi/Other Indian Languages) is expected. Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms will be beneficial. Your responsibilities will include Lexicon Testing & Creation. You should be capable of creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software. Collaboration within teams and proactive engagement in AI & NLP learning environments is essential. Additionally, you will contribute to ML-labelled data creation and domain-specific dataset development.,

Job Description Job Title: Account Executive Department: Account Management Location: India (Hybrid or On-site) Reports To: Senior Account Executive / Account Manager About The Organization We are a leading Indian language services company delivering multilingual communication solutions such as translation, transcription, interpretation, subtitling, voice-over, dubbing, desktop publishing, and linguistic data for AI/ML training in 250+ global languages. Our clients include MNCs, startups, e-commerce giants, education companies, law firms, healthcare providers, and AI developers. Role Overview As an Account Executive, you’ll be at the forefront of the company’s revenue generation and client success efforts. You will actively prospect for new clients, conduct product and service pitches, and work collaboratively with internal teams to deliver tailored linguistic solutions. Your primary goal is to meet and exceed your monthly revenue target, which is 20x your monthly CTC, by generating new business and nurturing qualified leads. Primary Responsibilities Generate and qualify new business leads through outbound cold calling, email marketing, and social media outreach. Build strong relationships with potential and existing clients by understanding their specific linguistic needs. Present customized solutions for services like translation, voice-over, data annotation, and subtitling. Prepare commercial proposals, presentations, and quotations. Maintain a high standard of documentation using CRM tools including client logs, notes, next steps, and proposal statuses. Coordinate with the project team to ensure timely and high-quality delivery of client projects. Track ongoing project progress, client escalations, and CSAT performance to ensure full-cycle client engagement. Follow up diligently for collections and close payment within the stipulated 60-day period. Actively participate in trade shows, networking events, and digital webinars (when applicable). Keep yourself updated with industry trends, competitive offerings, and the company’s full portfolio of solutions. What You’ll Achieve Deliver individual sales revenue equal to 20x your monthly CTC consistently. Maintain a lead conversion rate of at least 40% on qualified leads from the marketing team. Ensure every project has a minimum 50% profit margin. Strengthen retention by delivering a consistent, responsive client servicing experience. Achieve an average CSAT score of 8.5+ out of 10 from your client portfolio. Maintain 100% CRM update compliance with no missed client touchpoints. Required Competencies Strong communication, negotiation, and storytelling skills. Natural inclination toward sales conversations and client engagement. High degree of accountability, accuracy, and responsiveness. Proficient in using CRMs, Microsoft Office Suite, LinkedIn, and email automation tools. Ability to understand and explain linguistic workflows and service offerings. Career Growth Path A successful Account Executive can advance to a Senior Account Executive in 12–18 months, with a wider client portfolio, increased responsibilities in negotiation and retention, and higher revenue targets. Compensation & Perks ₹4.8 LPA – ₹6.5 LPA salary package Lucrative monthly and quarterly incentives Upskilling opportunities with paid certifications and industry webinars Access to internal sales masterclasses Health insurance and performance bonus Key Skills B2B Communication, Sales Pitching & Consultative Selling, Negotiation & Objection Handling, CRM & Pipeline Management, Industry Knowledge & Domain Adaptability, Client Centricity & Service Orientation, Time & Priority Management Apply now

Position: & Simulation Tirage Engineer Work Location: Work from Office / Remote Type: Full-time Shift: Flexible to work in shifts, including night shifts on client request Communication Skills Requirement: Minimum CEFR B2 level of English Technical Skills Requirement: LiDAR L3 About the Role (Position Summary) This role requires a strong combination of technical expertise in AV sensor data (especially LiDAR and camera), meticulous attention to annotation quality, and hands-on experience in simulation data triage. The ideal candidate will work on identifying errors, inconsistencies, and gaps in annotated datasets and simulation scenes, supporting the retraining and validation cycles of autonomous vehicle (AV) systems. Education Qualifications Bachelor's degree in Engineering, Computer Applications, Data Science, or related technical discipline. Experience 3–7 years of experience in annotation, simulation validation, or auditing roles with increasing leadership responsibility. Strong background in LiDAR and sensor data (2D/3D bounding boxes, polygons, cuboids, segmentation). Experience in simulation scenario review and tirage pipelines (e.g., triaging data for model retraining). Prior exposure to client interaction and cross-functional coordination (e.g., with engineering and QA teams). Hands-on experience working in tool-based labeling pipelines and simulation-driven testing environments. Experience working with annotation tools and QA checklists based on project-specific SOPs. Capacity of data analysis towards identifying consistent gaps Desired Qualifications and Experience (if any) Auditor-Specific Soft Skills Exceptional attention to detail: Ability to notice minute annotation errors, shape irregularities, and alignment mismatches. Strong visual-spatial reasoning: Capability to interpret 3D point clouds and assess object depth, perspective, occlusion, and context. Critical thinking: Skill in evaluating edge cases and understanding when annotations fail to represent real-world driving scenarios accurately. Strong ability of pattern recognition Annotation guideline interpretation: Ability to deeply understand, question, and apply detailed project-specific SOPs and edge-case rules. Bias awareness: Understand and flag biases in annotation or scene interpretation (e.g., object labeling errors due to weather, occlusion, or human assumptions). Clear written communication: Document audit findings, feedback, and edge cases in structured and unambiguous formats. Consistency under repetition: Maintain high focus and precision while reviewing large datasets with repetitive structures. Curiosity and domain awareness: Stay engaged with AV trends, annotation standards (e.g., KITTI, nuScenes), and common model failure patterns. Collaboration mindset: Willingness to work closely with fellow auditors, QA teams, and simulation engineers to improve annotation and tirage workflows. Technical Skill Requirements Annotation Auditing & Data QA Annotate and/or Audit 2D/3D sensor data annotations to ensure they meet the project’s accuracy, completeness, and consistency requirements. Identify common error types and provide actionable feedback. Simulation Tirage Evaluate simulation data for complexity, relevance, and anomalies. Tag and classify scenes based on criticality for model training or validation pipelines. Clear understanding of road sign and rules from a driver's perspective with capacity of (given) situation analysis Rules of the Road Expertise: Familiarity with standard traffic behavior, signage, signaling, right-of-way principles, and vehicle interactions under typical U.S. driving conditions. MUTCD Knowledge: Working knowledge of the Manual on Uniform Traffic Control Devices (MUTCD), especially as it applies to lane markings, signage, and signal interpretation across varied roadway types. Passenger Comfort Sensitivity: Ability to assess scenarios from the perspective of a rider, identifying discomfort or unsafe behaviors that may not violate technical rules but still degrade the end-user experience. Driver Duty of Care Perspective: Ability to evaluate edge cases and ambiguous situations through the lens of a responsible human driver, balancing legality with caution and accountability in mixed-traffic environments. Tool & Workflow Expertise Operate advanced tools such as Labelbox, Scale AI, Supervisely, CVAT, CARLA, or in-house labeling systems. Suggest refinements in annotation and tirage flows to reduce ambiguity and improve cycle efficiency. Documentation & Reporting Maintain issue logs and generate structured audit reports. Provide detailed scene-level comments to support iterative data improvements. Responsibilities (not limited to) Conduct systematic reviews of AV sensor annotations using defined QA guidelines. Perform simulation scene triage to identify edge-case scenarios and misclassified outcomes. Tag errors, provide audit-level feedback, and ensure data is looped back for correction or retraining. Collaborate with QA reviewers, annotation operators, and simulation engineers. Contribute to refinement of SOPs and visual reference materials based on audit insights. Stay current with industry annotation standards and simulation evaluation protocols.

Now Hiring: Senior Code Reviewer (Python + Docker) | LLM Data Training 📍 Remote | Contract 🧠 Focus: Code Review, AI Evaluation, Python, Docker 🚀 Project: Atlas – High-Quality Data for AI Are you passionate about Python and excited by the future of AI? We’re looking for a Senior Code Reviewer to help ensure the quality and integrity of data used to train large language models (LLMs). 💼 About the Role As a Senior Code Reviewer, you’ll review evaluations made by data annotators assessing AI-generated Python code. Your mission: ensure that the evaluations adhere to strict standards around functionality, instruction-following, and factual accuracy. You’ll work within a fast-moving team, using your technical expertise to help shape the training data that powers cutting-edge AI systems. 🔧 What You'll Do Audit and review annotator evaluations of Python code generated by AI. Confirm that code is functional, accurate, and follows the given instructions. Validate technical correctness using hands-on proof-of-work — including execution in Docker environments. Flag and correct inconsistencies or errors in annotator feedback. Provide constructive guidance to annotators to uphold quality standards. Follow strict evaluation protocols as defined by Project Atlas . ✅ Required Qualifications 5–7+ years in Python development, QA, or code review roles. Strong understanding of Python syntax, testing, debugging, and edge cases. Proficient with Docker for code execution and environment replication. Comfortable working in structured QA or annotation workflows. Excellent written communication skills. English proficiency at B2+ level or higher. ⭐ Preferred Experience Familiarity with LLM evaluation, AI training data, or RLHF workflows. Hands-on experience with annotation platforms or structured data review pipelines. Understanding of model alignment and evaluation techniques in AI. Interested candidates kindly share resumes on shikha@digifocal.in

We're Hiring – Data Annotation Project Lead (Automotive Domain) Location: Hyderabad Work Schedule: 6 days/week Team Size: 150 members Are you experienced in vehicle/automotive image labeling and passionate about leading large-scale data annotation teams? We’re looking for a dynamic professional with: Proven experience in data annotation projects (preferably in the automotive domain) Strong team management skills, handling teams of 100+ members Excellent client communication and handling capabilities Ability to ensure quality, consistency, and timely delivery across large teams Join us to work on cutting-edge AI training data for the automotive industry! #HiringNow #DataAnnotation #ImageLabeling #AutomotiveAI #TeamLeadJobs #HyderabadJobs #AIProjects #ComputerVision #AnnotationJobs #ClientHandling #ProjectManagement #RoboclickInfotech #DigitalCareers Job Types: Full-time, Permanent, Fresher, Internship Schedule: Day shift Morning shift Work Location: In person

As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models. This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals. Your work will center on translating complex business needs and technical specifications into clear instructions, managing data labeling workflows, and maintaining data quality standards. Responsibilities: Develop and implement detailed guidelines and instructions for data labeling and annotation to ensure consistency and accuracy across datasets; Review and validate labeled data, providing constructive feedback to annotation teams to improve data quality and adherence to project standards; Collaborate with data scientists and ML engineers to prepare, organize, and support the creation of high-quality annotated datasets for model training; Manage the annotation workflow, prioritize tasks, and track progress to ensure timely delivery of labeled data; Maintain high standards of data privacy, security, and compliance throughout all annotation processes; Gather and analyze business requirements, workflows, and terminology to understand data needs and improve annotation processes; Facilitate communication between technical teams and stakeholders by translating complex technical or domain-specific language into clear, accessible instructions and explanations; Offer insights into business processes that could benefit from automation or ML solutions, supporting the design and implementation of such projects; Support continuous improvement of data annotation guidelines, workflows, and overall business analysis practices to enhance efficiency and data quality. Requirements: At least 1 year of experience in the relevant role; Excellent English language skills (B2 level or higher, ideally C1), especially when working with reports containing complex terminology; Strong analytical skills and an understanding of business workflows; Attention to detail and ability to create clear instructions and guidelines for annotation teams; Understanding of data privacy, security standards, and compliance requirements. Nice to Have: Basic knowledge of machine learning concepts and data management principles; Familiarity with ML workflows, data pipelines, and MLOps tools; Experience with cloud platforms such as AWS, GCP, or Azure; Experience with data labeling or annotation; Experience in creating markups for AI; Insurance industry background.

We are looking for immediate joiner for below position Senior Java Developer Location – Pune / Hyderabad Exp – 7 to 10 Years Fulltime Primary skills – Java , Spring boot , Microservices , Rest API , NO SQL or SQL , Any Cloud exp Job Description: We are seeking a Senior Java Developer with extensive experience in Java and Sprint Boot development. The ideal candidate will have a strong background in designing, developing, and maintaining Java applications. You will be responsible for writing high-quality code, troubleshooting issues, and collaborating with cross-functional teams. Responsibilities: Design, develop, and maintain Java applications. Write clean, efficient, and well-documented code. Troubleshoot and resolve technical issues. Collaborate with cross-functional teams to define requirements and deliverables. Participate in code reviews and provide constructive feedback. Stay updated with the latest Java technologies and best practices. Qualifications: 7+ years of experience in Java development. Strong knowledge of Java frameworks and libraries. Excellent problem-solving and debugging skills. Good communication and teamwork skills. Skillset Java concepts: Multithreading, Java 8 features, design pattern Springboot /Spring framework: Rest API Design and implementation, Spring data frame work spring ORM frame work, Bean lifecycle, annotation usage, dependency injection, filters, Controller Advice Spring security framework: Authentication & Authorisation Database: Any SQL and NoSQL DB Microservices: design patterns like SAGA, API gateway, event driven architecture Cloud platform: hands on cloud service provider like AWS, Azure etc Ability to work in a fast-paced and dynamic environment.

This job is with Oracle, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are seeking a detail-oriented data annotator to join the Oracle Analytics team. As a member of our data operations team you will be responsible for creating and annotating natural language and structured data to facilitate the development of new AI solutions for Oracle's Analytics product portfolio. You will work with applied science and data science teams to design and evaluate new AI capabilities, test systems ahead of deployment, and support customers with implementing and customizing AI solutions for industry verticals or specific use cases. The ideal candidate will have in-depth familiarity with Oracle's analytics products (Fusion Data Intelligence, Oracle Analytics Cloud), SQL, Python, and data visualization, as well as experience in subject matter areas related to ERP, Finance, Supply Chain Management, or Human Capital Management. Knowledge of data collection management practices, quality control processes is a strong plus. Career Level - IC2 Key Responsibilities Collaborate with applied scientists and product managers to gather data requirements. Help develop and improve data annotation guidelines and quality control mechanisms. Produce and deliver data meeting predefined quality targets and timelines. Help test and evaluate AI solutions. Partner with customers and solution architects to improve usability of AI products. Required Qualifications Bachelor's degree in Business Administration, Information Systems, Data Science, Linguistics, or a related field. 2-3 years of industry experience in data operations, data annotation, business analytics, or a related role. Experience with Oracle Analytics tools and dashboards, SQL, and general task management tools (e.g., Jira). Excellent communication and collaboration abilities. Attention to detail, sense of ownership, and customer-focused mindset. Software engineering skills (SQL, Python). Preferred Qualifications Knowledge of machine learning concepts and how annotated data supports model development. Previous experience with large-scale data collection/annotation and data quality control processes. As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

About the Role: We are seeking detail-oriented AI Video Annotation Specialists to support the labeling of video content and tagging objects, actions, angles, and scenes within video footage. Your contributions will be integral to training advanced AI models used in applications such as self-driving cars, surveillance systems, healthcare diagnostics, and more. Key Responsibilities: Annotate and label video content accurately. Track moving objects frame-by-frame to ensure precise annotations. Tag human actions and behaviors (e.g., walking, running, interacting with objects). Requirements: No prior experience necessary; training will be provided. Attention to detail is critical. Strong visual analysis skills to detect and track objects accurately. Proficiency in English with excellent writing skills.

About The Role As an ideal candidate, you must be a problem solver with solid experience and knowledge in AI/ML development. You must be passionate in understanding the business context for features built to drive better customer experience and adoption. Requirements 3-4 years of professional experience in AI/ML development, with a strong focus on Computer Vision techniques such as CNNs, object detection, segmentation, and image processing. Proficient in Python and deep learning frameworks like TensorFlow and PyTorch. Solid understanding of classical and modern machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with data preprocessing, annotation, and augmentation techniques for image datasets. Familiarity with model evaluation metrics, hyperparameter tuning, and optimization strategies. Practical experience deploying ML models in cloud environments (AWS, GCP, Azure) or on edge devices. Knowledge of MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Strong debugging and problem-solving skills, with the ability to work effectively in cross-functional teams. Understanding of software engineering best practices, including version control (Git), testing, and documentation. Experience with containerization technologies like Docker; familiarity with Kubernetes is a plus. Comfortable working with SQL/NoSQL databases for data storage and retrieval. Preferred Skills Experience with model compression and optimization techniques such as quantization and pruning for deployment efficiency. Exposure to other AI domains like NLP or time series analysis is a bonus. Strong communication skills to explain complex technical concepts to diverse audiences. (ref:hirist.tech)

Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience): Machine Learning (ML) & Deep Learning Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT4, Anthropic Claude, LLama etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis. Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB, PGVector etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results. Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints. Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face, etc. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience working with SQL and NoSQL databases, as well as vector databases APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models. (ref:hirist.tech)

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. Company - ADCI MAA 12 SEZ Job ID: A3034647

🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 200 languages, we support top multinational clients in developing cutting-edge AI solutions. 👍 Soft Skills We Value Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning? If so, we’d love to hear from you! 💼 What Will You Do? As part of our linguistic projects, your responsibilities may include: Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words. 🕒 All tasks are remote , performed through an online platform available 24/7. 📄 This opportunity is offered for freelancers under a commercial contract . ✅ Requirements We Are Looking For Candidates With The Following Qualifications Fluent in Urdu – Able to listen and write correctly without spelling mistakes Fluent in English – Able to listen and write correctly without spelling mistakes Basic computer skills Preferred (but Not Mandatory) Experience in data annotation or content rating Strong attention to detail 💻 Technical Requirements Computer To participate in our projects, you will need: Minimum 4GB RAM Microphone and webcam Operating system: Windows 10 or higher macOS 13 Ventura or higher All OS updates installed and supported by the vendor Connectivity & Accessories Stable internet connection Headphones Secure internet location, protected by a strong password For Audio-collection Projects Only Mobile phone with Android OS 🚫 Tablets and iOS devices are not supported 📋 How to Apply If you’re interested, click “APPLY FOR THIS JOB” and follow the instructions. After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process. 📩 Check your inbox and spam folder , just in case! 🚫 Important Notes Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate. The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services. 💬 Need Help? We’re here for any questions or concerns. Join us and be part of something global, innovative, and impactful. Sigma.AI – Data done right.

🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 200 languages, we support top multinational clients in developing cutting-edge AI solutions. 👍 Soft Skills We Value Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning? If so, we’d love to hear from you! 💼 What Will You Do? As part of our linguistic projects, your responsibilities may include: Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words. 🕒 All tasks are remote , performed through an online platform available 24/7. 📄 This opportunity is offered for freelancers under a commercial contract . ✅ Requirements We Are Looking For Candidates With The Following Qualifications Fluent in Deccan – Able to listen and write correctly without spelling mistakes Fluent in English – Able to listen and write correctly without spelling mistakes Basic computer skills Preferred (but Not Mandatory) Experience in data annotation or content rating Strong attention to detail 💻 Technical Requirements Computer To participate in our projects, you will need: Minimum 4GB RAM Microphone and webcam Operating system: Windows 10 or higher macOS 13 Ventura or higher All OS updates installed and supported by the vendor Connectivity & Accessories Stable internet connection Headphones Secure internet location, protected by a strong password For Audio-collection Projects Only Mobile phone with Android OS 🚫 Tablets and iOS devices are not supported 📋 How to Apply If you’re interested, click “APPLY FOR THIS JOB” and follow the instructions. After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process. 📩 Check your inbox and spam folder , just in case! 🚫 Important Notes Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate. The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services. 💬 Need Help? We’re here for any questions or concerns. Join us and be part of something global, innovative, and impactful. Sigma.AI – Data done right.

Company Description Vyva Consulting Inc. is a trusted partner in Sales Performance Management (SPM) and Incentive Compensation Management (ICM), specializing in delivering top-tier software consulting solutions. We help organizations optimize their sales operations, boost revenue, and maximize value. Our seasoned experts work with leading products such as Xactly, Varicent, and SPIFF, offering comprehensive implementation and post-implementation services. We focus on enhancing sales compensation strategies to drive business success. Role Description This is a full-time, on-site role for an Artificial Intelligence Intern, located in Hyderabad. We are seeking a motivated AI Engineer Intern to join our team and contribute to cutting-edge AI/ML projects. This internship offers hands-on experience with large language models, generative AI, and modern AI frameworks while working on real-world applications that impact our business objectives. What You'll DoCore Responsibilities LLM Integration & Development: Build and prototype LLM-powered features using frameworks like LangChain, OpenAI SDK, or similar tools for content automation and intelligent workflows RAG System Implementation: Design and optimize Retrieval-Augmented Generation systems including document ingestion, chunking strategies, embedding generation, and vector database integration Data Pipeline Development: Create robust data pipelines for AI/ML workflows, including data collection, cleaning, preprocessing, and annotation of large datasets Model Experimentation: Conduct experiments to evaluate, fine-tune, and optimize AI models for accuracy, performance, and scalability across different use cases Vector Database Operations: Implement similarity search solutions using vector databases (FAISS, Pinecone, Chroma) for intelligent Q&A, content recommendation, and context-aware responses Prompt Engineering: Experiment with advanced prompt engineering techniques to optimize outputs from generative models and ensure content quality Research & Innovation: Stay current with latest AI/ML advancements, research new architectures and techniques, and build proof-of-concept implementations Technical Implementation Deploy AI micro services and agents using containerization (Docker) and orchestration tools Collaborate with cross-functional teams (product, design, engineering) to align AI features with business requirements Create comprehensive documentation including system diagrams, API specifications, and implementation guides Analyze model performance metrics, document findings, and propose data-driven improvements Participate in code reviews and contribute to best practices for AI/ML development Required QualificationsEducation & Experience Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or related field 6+ months of hands-on experience with AI/ML projects (academic, personal, or professional) Demonstrable portfolio of AI/ML projects via GitHub repositories, Jupyter notebooks, or deployed applications Technical Skills Programming: Strong Python proficiency with experience in AI/ML libraries (NumPy, Pandas, Scikit-learn) LLM Experience: Practical experience with large language models (OpenAI GPT, Claude, open-source models) including API integration and fine-tuning AI Frameworks: Familiarity with at least one: LangChain, OpenAI Agents SDK, AutoGen, or similar agentic AI frameworks RAG Architecture: Understanding of RAG system components and prior implementation experience (even in academic projects) Vector Databases: Experience with vector similarity search using FAISS, Chroma, Pinecone, or similar tools Deep Learning: Familiarity with PyTorch or TensorFlow for model development and fine-tuning Screening Criteria To effectively evaluate candidates, we will assess: Portfolio Quality: Live demos or well-documented projects showing AI/ML implementation Technical Depth: Ability to explain RAG architecture, vector embeddings, and LLM fine-tuning concepts Problem-Solving: Approach to handling real-world AI challenges like hallucination, context management, and model evaluation Code Quality: Clean, documented Python code with proper version control practices Preferred QualificationsAdditional Technical Skills Full-Stack Development: Experience building web applications with AI/ML backends Data Analytics: Proficiency in data manipulation (Pandas/SQL), visualization (Matplotlib/Seaborn), and statistical analysis MLOps/DevOps: Experience with Docker, Kubernetes, MLflow, or CI/CD pipelines for ML models Cloud Platforms: Familiarity with AWS, Azure, or GCP AI/ML services Databases: Experience with both SQL (PostgreSQL) and NoSQL (Elasticsearch, MongoDB) databases Soft Skills & Attributes Analytical Mindset: Strong problem-solving skills with attention to detail in model outputs and data quality Communication: Ability to explain complex AI concepts clearly to both technical and non-technical stakeholders Collaboration: Proven ability to work effectively in cross-functional teams Learning Agility: Demonstrated ability to quickly adapt to new technologies and frameworks Initiative: Self-motivated with ability to work independently and drive projects forward What We OfferProfessional Growth Mentorship: Work directly with senior AI engineers and receive structured guidance Real Impact: Contribute to production AI systems used by real customers Learning Opportunities: Access to latest AI tools, frameworks, and industry conferences Full-Time Conversion: Potential for full-time offer based on performance and business needs Work Environment Employee-First Culture: Flexible work arrangements with emphasis on results Innovation Focus: Opportunity to work on cutting-edge AI applications Collaborative Team: Supportive environment that values diverse perspectives and ideas Competitive Compensation: Market-competitive internship stipend Application RequirementsPortfolio Submission Please include the following in your application: GitHub Repository: Link to your best AI/ML projects with detailed README files Project Demo: Video walkthrough or live demo of your most impressive AI application Technical Blog/Documentation: Any technical writing about AI/ML concepts or implementations Resume: Highlighting relevant coursework, projects, and any AI/ML experience Technical Assessment Qualified candidates will complete a technical assessment covering: Python programming and AI/ML libraries LLM integration and prompt engineering RAG system design and implementation Vector database operations and similarity search Model evaluation and optimization techniques Ready to shape the future of AI? Apply now and join our team of innovative engineers building next-generation AI solutions.

In this role you will be part of our Centre of Excellence team working specifically in SDTM therefore extensive experience and knowledge is required in this area. What you'll be doing: Develops SAS programs to generate listings, tables and figures as outlined by mock TLF shells Performs quality control (source code review, double-programming and log review) of SAS programs Develops SAS programs to generate CDISC and other analysis data sets as outlined by respective specifications Prepares specifications for CDISC and other analysis data sets Assists Data Management with SAS programming needs Acts as Lead Biostatistical Programmer to interact with the Lead Biostatistician and the study team Develops and validates general SAS macros What we are searching for: BS or equivalent from accredited college or university, in statistics, IT, mathematics or closely related field or work related experience to be able to perform this role 6-8 years of experience in SAS programming within the area of clinical trials. Prior experience using computerized information systems preferred. Knowledge of ICH and local regulatory authority drug research and development regulations preferred. Advanced knowledge of SAS Software data set architecture, utilities, and programming techniques Demonstrated working knowledge of advanced SAS macro development and code generation/management algorithms.

Job Title: Project Manager AI & ML Data Projects Experience: 2 to 4 Years Industry: Artificial Intelligence, Machine Learning, Data Annotation About the Role: We are seeking a dynamic and driven Project Manager with a strong background in the AI and Machine Learning (ML) industry. The ideal candidate will have prior experience managing AI data collection and annotation projects , understand the unique challenges of such programs, and thrive in a fast-paced, execution-focused environment. This is a Onsite role requiring a combination of strategic planning and hands-on execution. If you are a go-getter with the right attitude and enjoy working on impactful projects in the AI/ML space, wed love to hear from you. Key Responsibilities: Lead end-to-end project planning and execution for AI data collection and annotation programs. Coordinate with cross-functional teams including data scientists, annotators, quality analysts, vendors, and product managers. Manage timelines, deliverables, quality, and stakeholder communication across multiple concurrent projects. Work with internal teams and clients to define project scope, objectives, and success metrics. Proactively identify project risks and roadblocks and implement mitigation strategies. Prepare regular status reports, dashboards, and client updates. Use generative AI tools (e.g., ChatGPT, Claude, Bard) to improve productivity and reporting. Ensure projects align with client expectations, SLAs, and compliance requirements. Serve as an individual contributor when needed to move fast and ensure project momentum. Required Skills & Experience: 24 years of project management experience, preferably in AI/ML, data annotation, or data ops companies. Hands-on exposure to AI data lifecycle – collection, cleansing, annotation, and QA. Experience managing global teams and/or external vendors is a plus. Familiarity with generative AI tools and how they can enhance team productivity. Excellent communication, organization, and stakeholder management skills. High ownership mindset with a go-getter attitude and ability to work independently. Preferred Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or related field. Certification in Project Management (PMP, CSM, or equivalent) is a plus. Passion for AI and innovation, with a desire to work in mission-driven environments.

Position - NL Data Annotator (English IN AND Hindi IN) Experience - 1 to 4 Years Location - Hyderabad ( Work From office 5 Days a week ) Language Proficiency - English OR Hindi JD - The Data Annotator is responsible for accurately labelling and categorizing data to support AI model development across various domains such as natural language processing, computer vision, and speech recognition. The Data Annotator is responsible for accurately labeling and categorizing data to support AI model development across various domains such as natural language processing, computer vision, and speech recognition. Job Description Annotate large volumes of data with high accuracy. Interpret complex guidelines and apply them consistently. Provide feedback to improve annotation tools and processes. Collaborate with QA and project managers to ensure data quality.

Job Description We are seeking a detail-oriented data annotator to join the Oracle Analytics team. As a member of our data operations team you will be responsible for creating and annotating natural language and structured data to facilitate the development of new AI solutions for Oracle's Analytics product portfolio. You will work with applied science and data science teams to design and evaluate new AI capabilities, test systems ahead of deployment, and support customers with implementing and customizing AI solutions for industry verticals or specific use cases. The ideal candidate will have in-depth familiarity with Oracle's analytics products (Fusion Data Intelligence, Oracle Analytics Cloud), SQL, Python, and data visualization, as well as experience in subject matter areas related to ERP, Finance, Supply Chain Management, or Human Capital Management. Knowledge of data collection management practices, quality control processes is a strong plus. Responsibilities Key Responsibilities: Collaborate with applied scientists and product managers to gather data requirements. Help develop and improve data annotation guidelines and quality control mechanisms. Produce and deliver data meeting predefined quality targets and timelines. Help test and evaluate AI solutions. Partner with customers and solution architects to improve usability of AI products. Required Qualifications: Bachelor's degree in Business Administration, Information Systems, Data Science, Linguistics, or a related field. 2-3 years of industry experience in data operations, data annotation, business analytics, or a related role. Experience with Oracle Analytics tools and dashboards, SQL, and general task management tools (e.g., Jira). Excellent communication and collaboration abilities. Attention to detail, sense of ownership, and customer-focused mindset. Software engineering skills (SQL, Python). Preferred Qualifications: Knowledge of machine learning concepts and how annotated data supports model development. Previous experience with large-scale data collection/annotation and data quality control processes. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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. Company - ADCI - Haryana Job ID: A3033836

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. Company - ADCI - Haryana Job ID: A3033823

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. Company - ADCI - Haryana Job ID: A3033835

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 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 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. Company - ADCI - Haryana Job ID: A3033827

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 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 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. Company - ADCI - Haryana Job ID: A3033851

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 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 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. Company - ADCI - Haryana Job ID: A3033821