1461 Annotation Jobs - Page 34

Description Data associate plays a crucial role in machine learning and AI development by labeling, categorizing, and enriching raw data to make it useful for training AI models. Scope of this role also includes innovation, deep dive into unusual scenarios. The ideal candidate has a strong track record of research analysis, influence through collaboration, driving measurable business results, and attention to detail. This position is part of the world-wide grocery stores and supports a global customer base. Key job responsibilities Perform data collection tasks related to Amazon devices, applications, or services. Labeling and tagging data (text, images, audio, or video) on daily basis by adhering to Standard Operating Procedures (SOPs) and guidelines. Identifying and classifying specific features or patterns in datasets Participate in process improvement to increase the quality, efficiency, and accuracy of the teams’ processes. Partner with your team manager when your work is delayed or blocked due to technical issues. Report issues with tools and software to the development team when necessary. Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. Leverage technology and process innovation to bring continuous improvement to the operations. Analyze data to identify the root of a problem and solve it. About The Team Grocery ECO is a new kind of shopping experience for customers with smart shopping carts - no lines and no checkout. Simply use the ECO cart to enter the store, take what you want from our selection of fresh, delicious meals, grocery essentials, and go through dedicated lane. ECO carts enable scanning of products as they are taken from the shelves and you can keep track of live receipt via screen on cart. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account. Our technology uses computer vision, sensor fusion, and advanced machine learning. Basic Qualifications Bachelor's degree Speak, write, and read fluently in English Demonstrated ability to be successful in a highly fluid, fast-paced and ambiguous environment Strong attention to detail and ability to follow precise annotation instructions Flexible to work across all the shifts. Work from office, 5 days a week. Preferred Qualifications Knowledge of Microsoft Office products and applications Work from office, 5 days a week. 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 - Amazon Dev Center India - Hyderabad Job ID: A2991234 Show more Show less

Job Title: Test Lead – Computer Vision (Ground Truth Validation) Location : Onsite in Bavdhan, Pune Description: We are looking for an experienced Test Lead to manage QA efforts for our computer vision projects , with a strong focus on Ground Truth validation . The ideal candidate will be hands-on, detail-oriented, and able to lead testing for ML model outputs, annotated datasets, and visual recognition systems. Responsibilities: Lead test planning, execution, and reporting for CV/ML pipelines Validate annotations and Ground Truth data for accuracy and consistency Coordinate with data labeling teams and ML engineers Develop and manage test cases for model accuracy, precision, and edge cases Ensure delivery of high-quality datasets and outputs Requirements: 4+ years in QA/testing, with 1–2 years in Computer Vision or ML projects Experience with Ground Truth validation workflows Familiarity with image annotation tools (e.g., Labelbox, CVAT, VGG) Strong attention to detail and analytical thinking Excellent communication and leadership skills Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

We are looking for a detail-oriented Image Annotator to join our machine vision team. The ideal candidate will be responsible for accurately labeling images and videos to train and validate our machine learning models. This role is critical in ensuring that our machine vision algorithms are trained with high-quality data for tasks such as object detection, semantic segmentation, and instance segmentation. Responsibilities Key Responsibilities: 1. Image and Video Annotation: • Accurately label objects, regions, and features within images and videos according to provided guidelines. 2. Quality Assurance: • Review and validate annotations to ensure accuracy and consistency. • Identify and correct any errors in the annotations, ensuring high-quality data output. 3. Tool Usage: • Utilize annotation tools and software efficiently to label large datasets. • Provide feedback on annotation tools and suggest improvements to enhance efficiency and accuracy. 4. Collaboration: • Work closely with machine learning engineers and data scientists to understand project requirements and deliver high-quality annotated data. • Participate in team meetings to discuss challenges, solutions, and best practices in data annotation. 5. Documentation: • Maintain clear documentation of annotation guidelines and ensure adherence to them during the annotation process. • Document any edge cases or anomalies encountered during the annotation process for future reference. 6. Continuous Improvement: • Stay updated with the latest annotation techniques and best practices. • Continuously improve annotation processes to increase efficiency and accuracy. Qualifications BE or Diploma IT or computer science Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Junior ID - KWS, you will understand the client's KWS (Kitchen, Wardrobe & Other Storages) requirements and specifications from the designer on a call or face to face briefing meeting. You will prepare a plan, wall-to-wall elevation with complete detailing on AutoCAD for kitchen, wardrobe, and storages. You will be respeonsible to prepare all EPT (Electrical, Plumbing, Tiling) and Granite detailing for kitchen, wardrobe, and storages. Reponsibilities Prepare the KWS BOQ on the livspace design tool (CANVAS). Prepare coordinated KWS design docket wrt to the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the central team. Should be able to understand the changes/errors pointed out by the validation team and incorporate the same in the design docket. Should adhere to the SLA and quality standards of the output. Attend training for the new module introduced by the category team and keep yourself updated. Job Requirement Requirements Diploma/Degree in Interior design Fresher or up to 2 Years of relevant experience. Proficiency in Auto CAD (Rating >7/10), Previous experience as a kitchen designer or design associate or in a similar role (For 1/2yr experience people, not applicable for fresher). Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Experience in Turnkey Residential Interiors Knowledge or experience in preparations of False Ceiling or Reflected Ceiling Plan Layouts. Knowledge or experience in preparation of Carpentry Storage Drawings Knowledge or experience in preparation of Electrical Drawings. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Experience in Turnkey Residential Interiors Knowledge or experience in preparations of False Ceiling or Reflected Ceiling Plan Layouts. Knowledge or experience in preparation of Carpentry Storage Drawings Knowledge or experience in preparation of Electrical Drawings. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript​: Deep object cloning, memory management, prototypal inheritanc ePython: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories Experience building and maintaining large-scale coding repositories Complete fluency in the English language Ability to articulate complex technical concepts clearly and engagingly Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing. If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise! Show more Show less

🚀𝗖𝗮𝗿𝗲𝗲𝗿 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆: Medical Imaging Specialist 📍𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Kolkata 🎓𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: B.Sc. in Medical Radiology & Imaging Technology (BMRIT) 🆕𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Minimum 1 Year 𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲: We are looking for a Medical Imaging Specialist with expertise in interpretation of cross-sectional radiology images . The ideal candidate should have a strong understanding of anatomical concepts and experience in Clinical radiology field. 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: ✅ Medical Data Annotation & segmentation: Accurately label, segment, and annotate medical images. ✅ Collaboration: Work closely with team & clinicians. ✅ Continuous Learning: Must have learning acumen to stay updated with medical imaging trends, AI applications in healthcare, and annotation best practices. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Hands-on experience with radiology imaging modalities . 🔹 Strong knowledge of human anatomy, disease pathology, and medical imaging interpretation. Nice to Have Skills : 🔸Prior experience in medical imaging data analysis, annotation & segmentation tools . 🔸Knowledge of DICOM standards and PACS systems. 🔸Basic understanding of computer application. 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀? 🌟 Opportunity to work on cutting-edge AI-driven healthcare solutions. 🌟 Opportunity to work in a collaborative environment along with industry experts. 🌟 Career growth and learning opportunities in the field of AI & medical imaging. 📩💼 Interested? Apply Now! Drop your CV at: schakravorty@pareidolia.in Show more Show less

Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. The Role The BIM Modeler will perform the functions of creating project deliverable drawings and models using the current versions of available software. Work includes 3D parametric modeling, representation and annotation of 3D information in 2D drawings, and 2D detailing for complex projects. The candidate should be able to work in a self-directed manner in all aspects of the building design and document production process. Responsibilities Create 3D BIM models to a high level of accuracy. Develop plans, sections, elevations and details from a 3D BIM model for projects of all sizes and technical complexities. Clearly annotate, dimension and detail production drawings in conformance to Thornton Tomasetti standards and practices. Setup and manage large sheets sets including revisions and markups for each project. Plot drawings to pdf, dwg, or to paper plots. Assist and direct BIM workflow. Set up and geo-locate multiple models for a single project. Create 3D views or renderings on an as-needed basis for marketing or project use. Use advanced tools such as Navisworks for project collaboration across multiple disciplines in a BIM environment. Interface with engineers, our clients, and other consultants through clear communication and drawings. Interact with our clients to coordinate BIM modeling content and approaches, model exchanges, quality control, and delivery. Continued development of “best practices” for BIM. Requirements Degree in related discipline (Civil Engineering, Architecture, Interior Design, etc.) is preferred. Experience and understanding of REVIT Structure, AutoCAD Architecture, and their supporting technologies. Experience and understanding of interfacing with REVIT Architecture and MEP is preferred. Excellent understanding of 3D parametric modeling to maximize the benefits of an integrated building model. Thorough understanding of building components for modeling structural components intelligently and efficiently to ensure the integrity of the structural model. Working knowledge of drawing production, standard construction techniques and principals. Excellent skills in relation to rendering and graphic formats and their manipulation and output. Experience in Rhino, Grasshopper, TEKLA, and data exchanges between BIM platforms is preferred. Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Thornton Tomasetti Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here. Show more Show less

Ensure production & accuracy targets are met as per client expectation Daily learning & updating of changes in client protocols Utilize the AI tools effectively & process is efficient & effective Daily annotation records Required Candidate profile 1 to 3yrs of Exp in nursing/ hospital/ annotation environment is an added advantage Strong verbal &written communication skill in English Strong comprehension & analytical skills Perks and benefits Competitive incentives + health insurance etc

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for an RLHF (Reinforcement Learning with Human Feedback) Expert . Job Description: Job Title: RLHF (Reinforcement Learning with Human Feedback) Expert Job Type: Full-time Job Location: Remote Work Schedule: Remote Responsibilities: Maxonic, a growing AI firm, is looking for an energetic and committed individual with a passion to push the boundaries of AI and machine learning for its India office. This is an unparalleled, high-impact opportunity to work on cutting-edge alignment research while helping to drive Maxonic forward in the field of applied AI. Dive deep into the world of AI safety and large language models. Work with some of the most advanced RLHF methodologies and help design systems that learn from and align with human intent. Become part of a forward-looking AI team and help bring responsible, human-centered AI to life. Responsibilities: - Design, develop, and optimize Reinforcement Learning with Human Feedback (RLHF) systems for fine-tuning large language models and other generative AI models. - Build and refine reward models using human preference data (rankings, comparisons, scoring). - Collaborate with human annotators, data scientists, and product stakeholders to design effective feedback collection workflows. - Stay up to date with state-of-the-art RL algorithms such as PPO, DPO, and preference-based learning, and apply them in real-world scenarios. - Lead or contribute to projects that integrate RLHF pipelines into broader AI systems and production deployments. Desired Skills and Experience - Undergraduate Degree, preferably in computer science, machine learning, or a related field. - Strong analytical and problem-solving skills, with a curious mindset and eagerness to experiment. - Excellent communication and interpersonal skills. - Demonstrated passion for applied AI, reinforcement learning, and how human-centered systems can add real-world value. - Strong ability to reason through complexity and design robust, safe, and scalable systems. - Comfort in working independently as well as collaboratively in a cross-functional team. Technical Qualifications: The following skills are valued, but not essential: - Experience with RLHF techniques, such as supervised fine-tuning (SFT), reward modeling, and policy optimization using PPO or related algorithms. - Proficiency in Python and familiarity with ML libraries like PyTorch, Hugging Face Transformers, TRL, and RL libraries such as Ray RLlib or Stable Baselines. - Exposure to large language model training or fine-tuning workflows. - Familiarity with prompt engineering, natural language processing, or human-in-the-loop systems. - Understanding of MLOps tools, distributed training, and experiment tracking platforms. - Experience with human data labeling, annotation platforms, or quality control strategies is a plus. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Anjali Soni (anjali@maxonic.com / (408) 400-2334) for more details. Show more Show less

About the Role: As a Trainee , you will play a key role in performing data annotation, auditing data sets, and supporting data quality improvements across our AI/ML and engineering projects. This includes: Performing data annotation & labeling Auditing datasets for quality & accuracy Providing insights to improve performance Generating basic reports and collaborating with cross-functional teams Supporting AI/ML model training through accurate data processing Location: Ahmedabad (Work from Office 5 Days Working) Employment Type: Contract-to-Hire (C2H) Eligibility: UG/PG Graduates (2019 – 2024 pass-outs) Experience: 0–6 months Joining Preference: Immediate joiners About Apexon: Apexon is a digital-first technology services MNC with over 27 years of experience . We specialize in accelerating digital transformation and delivering human-centric digital experiences.Our services span across: User Experience: UI/UX, Commerce Engineering: QE/Automation, Cloud, Product/Platform Data: Foundation, Analytics, AI/ML We serve top-tier clients across industries like BFSI, Healthcare , and Life Sciences , and take pride in fostering innovation, speed, and excellence in all our solutions. Website - www.apexon.com Experience, Digital Engineering and Data Solutions by ApexonApexon is a Digital Technology Services & Platform Solutions Company that provide solutions in the areas of Experience, Digital Engineering, Data & Analytics, AI, and cloudwww.apexon.com At Apexon, you’ll get : The opportunity to work with a MNC Training by industry experts A vibrant workplace with excellent infrastructure Employee engagement programs, flexible working hours, and a supportive HR team. Please Feel free to reach out if you have any questions. Thanks and Regards

Responsibilities Description and Requirements Build services and platform which power TD AI Understand, follow and contribute to TD AI's standards for the software development life cycle Build frontend interfaces for our new products & optimize user experience in our vast product suite Work closely with product and tech team to deliver efficient, maintainable and unit tested software Contribute to the architecture and design of new and existing systems Collaborate with product & business teams to understand customer journeys and solve problems that help TD AI grow. Elevate the skills of the team through technical mentorship Own a functional area from product conception to delivery including the documentation, code quality, UT coverage, etc Participate in of code reviews, writing tech specs, and collaborating closely with other people. Requirements Additional Job Description Strong problem solving skills and are a fast learner Good knowledge of data structures and algorithms At least 2+ years of experience working in front-end development At least experience 2-3+ years experience in React+TypeScript and have strong hold on low level programming/syntax in JavaScript. Experience working on Redux / Vue / Angular is a plus. At least 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems Understanding of web bundling tools like webpack and vite. Knowledge of object oriented architecture & design patterns and have extensively worked on implementing them A team player and should be able to give and receive constructive feedback Exposure to frameworks and libraries like t hree.js , konva.js and antd is a plus. A passion for learning new technologies to deliver exceptional products. Benefits Work with a world class team working on a very forward looking problem. Competitive salaries. Medical/Health insurance for the self & family A reward system that recognizes your hard work and achievements. Get ready for surprise gifts whenever you perform exceptionally Open culture Work accessories and a great work location Hybrid mode & Flexible Timings Good snacks, games, and a cool office to make you feel like home Frequent office parties to develop bond between colleagues Events & Hackathons with exciting prizes EEO Statement TELUS Digital Experience TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions. Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service. AI Data Solutions: Shaping the Future of AI For nearly two decades, Telus Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train and improve AI models. Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labeling. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video) Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections) System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure) Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django) Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow) Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices Excellent problem-solving skills and the ability to work with complex, large-scale datasets Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation Track record of publications in top-tier AI/ML/CV conferences or journals Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics) Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services Experience with video processing and analysis techniques Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka) Demonstrated ability to lead technical projects and mentor team members Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity Teleperformance’s AIML/GenAI ecosystem is a fast-paced and dynamic environment. As the Global AI Strategy & Solutions Lead , you will collaborate across TP.ai to drive the delivery of high-impact AI solutions aligned with business objectives. In this role, you will lead the development and execution of a strategic research and delivery of our unique solution offering agenda in AI, ensuring the implementation of cutting-edge capabilities for our clients and markets. You will oversee the end-to-end lifecycle of AIML/GenAI solutions, from gathering initial requirements to selection, design, and scalable deployment—while ensuring cross-functional alignment between operations and engineering teams. Additionally, you will play a key role in understanding client priorities, aligning AI operations to business needs, and optimizing resource capacity planning. Maintaining strong customer relationships and ensuring seamless execution of AI initiatives will be critical to success in this role. The Responsibilities & Duties Define, structure, and execute strategic AI/ML initiatives focused on production operations, ensuring effective governance of AIML platforms and the development of an AI operating and engagement model. Identify, diagnose, and resolve solution and performance challenges by researching and applying the latest AI advancements to enhance core business products. Develop AI acceleration strategies and collaborate across teams to integrate AIML/GenAI solutions into internal and external platforms. Design and apply data analysis methodologies, including data mining, statistics, machine learning, NLP, sentiment analysis, and text mining, to drive insights. Lead initiatives to enhance product and process quality, improving efficiency and scalability. Build and sustain a high-performing AI Solutions team by recruiting top talent, providing ongoing training, and mentoring staff. Unify, enrich, and analyze customer data to generate actionable insights and new business opportunities. Leverage existing in-house data platforms and recommend/build new solutions to exceed business requirements. Clearly communicate findings, recommendations, and optimization strategies for data systems and AI solutions. Partner with the business development team to design and execute AIML/GenAI solutions based on client needs. Demonstrate a deep understanding of AI concepts, tools, and methodologies, and effectively mentor teams on best practices. Apply data-driven approaches to align AI/ML solutions with specific business outcomes. Collaborate, influence, and build consensus across teams through strong relationships and active listening. The Qualifications BA/BS or Masters in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical field. 10+ years of experiencein AI/ML, Generative AI, data science, or related fields, with a focus on strategy, solutioning, and implementation. Proven experience leading global AI/ML initiatives, driving AI transformation, and scaling AI/ML solutions across multiple industries. Strong knowledge of machine learning, deep learning, natural language processing (NLP), computer vision, and Generative AI frameworks (e.g., TensorFlow, Hugging Face, OpenAI etc). Experience with data services such as data labeling, annotation, synthetic data generation, and data pipeline management. Expertise in MLOps, AI model lifecycle management, and AI/ML infrastructure optimization. Familiarity with AI model training, fine-tuning, and deploymentin cloud environments (e.g., AWS, Google Cloud, Azure). Understanding of AI ethics, bias mitigation, and Trust & Safety principles related to AI/ML and GenAI applications. Deep understanding of AI security, model robustness, and adversarial attacks. Familiarity with federated learning, privacy-preserving AI, and regulatory AI frameworks. Proven ability to define and execute AI/ML strategies, aligning solutions with business goals and market trends. Experience in leading cross-functional teams, including data scientists, AI engineers, product managers, and business stakeholders. Strong background in AI governance, risk management, and regulatory compliance (GDPR, CCPA, AI Act, etc.). Experience in designing and implementing AI Center of Excellence (CoE)and AI operating models. Ability to translate complex AI concepts into actionable business strategies and clearly communicate with executives and non-technical stakeholders. Strong experience in AI-driven product development, GTM strategy, and AI monetization models. Expertise in managing AI partnerships, vendor selection, and external collaborations. Exceptional problem-solving, analytical thinking, and decision-making skills. Foster a collaborative and team-oriented approach when working with large teams. Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Engineering, or a related technical field. 15+ years of experiencein AI/ML, GenAI, or related fields, with extensive leadership in AI strategy, innovation, and implementation at a global scale. Proven experience driving AI adoption across diverse industries such as technology, finance, healthcare, retail, and media. Strong background in AI research and development (R&D)and productization of AI/ML models. Hands-on experience with cutting-edge AI technologies, including LLMs (Large Language Models), multimodal AI, reinforcement learning, and edge AI. Experience in building and scaling AI Centers of Excellence (CoE) within large enterprises. Strong track record in AI-driven business transformation and innovation strategy. Ability to influence C-suite executives and board-level discussionson AI investments and roadmaps. Proven expertise in AI ethics, responsible AI development, and regulatory compliance (GDPR, CCPA, EU AI Act, etc.). Experience launching AI-based products and services, including pricing and monetization strategies. Established thought leadership in AI/ML, with publications, patents, or keynote speaking engagements at industry conferences (e.g., NeurIPS, AI Summit, TrustCon, Data+AI Summit). Strong network and relationships within AI research communities, academia, startups, and industry consortia. Experience securing AI-related funding, partnerships, and alliances with BigTech, startups, and regulatory bodies. Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Diversity, Equity & Inclusion At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences. Show more Show less

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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: A2968582 Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video) Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections) System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure) Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django) Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow) Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices Excellent problem-solving skills and the ability to work with complex, large-scale datasets Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation Track record of publications in top-tier AI/ML/CV conferences or journals Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics) Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services Experience with video processing and analysis techniques Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka) Demonstrated ability to lead technical projects and mentor team members Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

- 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). 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. 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.

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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: A2968582 Show more Show less

Experience Required: 5+ Years Location: Remote Employment Type: Contract Compensation: Up to ₹1,70,000 per month About The Role We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role. You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks . Key Responsibilities Design, build, and maintain high-performance backend systems using Python. Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability. Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines, and other agent frameworks into scalable production environments. Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability. Build secure, efficient, and well-documented APIs that integrate with LLM services. Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency. Required Skills & Qualifications 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus. Expert-level Python programming skills. Proven experience integrating Large Language Models (LLMs) into production systems. Hands-on experience with: LangChain LangGraph RAG Pipelines Agent Frameworks Strong understanding of API design, microservices architecture, and production deployment workflows. Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines. Background in Machine Learning Engineering is a strong plus. Excellent problem-solving and debugging skills. Ability to work independently and deliver high-quality work on time. Nice To Have (Bonus Skills) Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.) Familiarity with prompt engineering and LLM fine-tuning. Experience in serverless architecture and event-driven systems. Exposure to multi-modal AI systems (text, image, audio). Why Work with AquSag Technologies? 100% remote work – flexible location. Work on cutting-edge AI projects with leading LLM companies. Join a fast-growing team at the forefront of AI integration and intelligent agent development. Potential for long-term contract extensions based on performance and project needs. Python Developer, Backend Engineer, LLM Integration, LangChain, LangGraph, RAG Pipelines, Agent Frameworks, AI Engineer, Large Language Models, Machine Learning Engineer, Remote Python Jobs, Contract Python Developer, AI Software Engineer, API Developer, Generative AI, GPT, OpenAI, Vector Databases, Prompt Engineering, ML Ops, Remote AI Engineer. Apply Now and be a part of building next-generation AI-powered systems! Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Junior ID - KWS, you will understand the client's KWS (Kitchen, Wardrobe & Other Storages) requirements and specifications from the designer on a call or face to face briefing meeting. You will prepare a plan, wall-to-wall elevation with complete detailing on AutoCAD for kitchen, wardrobe, and storages. You will be respeonsible to prepare all EPT (Electrical, Plumbing, Tiling) and Granite detailing for kitchen, wardrobe, and storages. Reponsibilities Prepare the KWS BOQ on the livspace design tool (CANVAS). Prepare coordinated KWS design docket wrt to the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the central team. Should be able to understand the changes/errors pointed out by the validation team and incorporate the same in the design docket. Should adhere to the SLA and quality standards of the output. Attend training for the new module introduced by the category team and keep yourself updated. Job Requirement Requirements Diploma/Degree in Interior design Fresher or up to 2 Years of relevant experience. Proficiency in Auto CAD (Rating >7/10), Previous experience as a kitchen designer or design associate or in a similar role (For 1/2yr experience people, not applicable for fresher). Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Experience in Turnkey Residential Interiors Knowledge or experience in preparations of False Ceiling or Reflected Ceiling Plan Layouts. Knowledge or experience in preparation of Carpentry Storage Drawings Knowledge or experience in preparation of Electrical Drawings. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Description: We are excited to invite Punjabi speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for transliteration of Roman script to Punjabi. Key Responsibility : You will review real-world data to improve the content to the highest quality. The content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with Punjabi as spoken in India · Should be comfortable to transliterate Roman script to Punjabi. · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed · Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI Project Details: Job Title: Digital Content Evaluation Specialist Pay Rate: :$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details. Requirements: · Native fluency in Punjabi and good knowledge of transliterating Roman script to Punjabi · Must be located in India for at least 5 years · Must be able to follow directions and provide feedback in English if required · Must be able to comply with project conventions and rules noted by the client in English · Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Broad cultural literacy and media awareness across generations and demographics · Understanding of digital content ecosystems and distribution channels · Understanding of online community dynamics and trends · Deep interest and knowledge in modern technological developments Disclaimer I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply: Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document. We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Description: We are excited to invite Telugu speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for transliteration of Telugu to Roman script and vice versa. Key Responsibility : You will review real-world data to improve the content to the highest quality. The content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with Telugu as spoken in India · Should be comfortable to transliterate Telugu to Roman script and vice versa. · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed · Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI Project Details: Job Title: Digital Content Evaluation Specialist Pay Rate: :$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details. Requirements: · Native fluency in Telugu and good knowledge of transliterating into Roman script · Must be located in India for at least 5 years · Must be able to follow directions and provide feedback in English if required · Must be able to comply with project conventions and rules noted by the client in English · Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Broad cultural literacy and media awareness across generations and demographics · Understanding of digital content ecosystems and distribution channels · Understanding of online community dynamics and trends · Deep interest and knowledge in modern technological developments Disclaimer I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply: Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document. We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule. Show more Show less