866 Annotation Jobs - Page 30

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Description As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and 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. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. 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. AND/OR 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 Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required Qualifications 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred Qualifications Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

With remote work becoming a permanent fixture in the U.S. workforce, giving thoughtful, practical gifts to people who work from home is more relevant than ever. Whether you’re shopping for a birthday, holiday, or just want to surprise a colleague or loved one, this guide covers the Gifts for People Who Work From Home 2025. From ergonomic furniture to productivity tools and self-care essentials, we’ve compiled a complete list that caters to every personality and work-from-home setup. Let’s dive into the ultimate gift guide for work-from-home professionals. 📋 What We Will Cover Here Why Thoughtful Home Office Gifts Matter Gift Ideas by Category Productivity Boosters Ergonomic Essentials Tech Accessories Home Comfort Items Wellness & Self-Care Fun & Creative Gadgets Budget-Friendly Gift Ideas Premium Gift Ideas for Special Occasions Gifts for Different Personalities Subscription Services That Make Great Gifts Where to Shop for Work-From-Home Gifts in the U.S. Tips for Choosing the Right Gift What NOT to Gift Remote Workers Final Thoughts 10 Frequently Asked Questions (FAQs) 💡 1. Why Thoughtful Home Office Gifts Matter In 2025, over 35% of Americans work remotely , either full-time or hybrid. A well-chosen gift can: Enhance productivity Support physical health Improve mental well-being Personalize the workspace Show appreciation and encouragement Remote workers spend hours at home, often juggling professional and personal responsibilities. Gifting something that makes their daily routine easier or more enjoyable is a powerful gesture. 🎁 2. Gift Ideas by Category 🧠 A. Productivity Boosters Noise-Canceling Headphones Great for blocking out distractions, especially in shared living spaces. Digital Planner or Smart Notebook (e.g., Rocketbook) For the eco-conscious note-taker who wants to stay organized. Blue Light Blocking Glasses Reduces eye strain from long screen hours. Task Timer (Pomodoro Timer or TimeCube) Helps manage focus and breaks more effectively. Standing Desk Converter Transforms any table into a healthier workspace. 🪑 B. Ergonomic Essentials Ergonomic Office Chair Offers back and lumbar support for long sitting sessions. Adjustable Laptop Stand Promotes better posture by elevating the screen to eye level. Footrest Cushion Improves circulation and comfort during long hours at the desk. Memory Foam Seat Cushion Enhances seating comfort, especially in basic home chairs. Wrist Support Pads for Keyboard/Mouse Prevents strain from repetitive typing and clicking. 💻 C. Tech Accessories Wireless Charging Station Keeps devices organized and fully powered. Portable Monitor Increases screen space for multitasking without crowding the desk. Ring Light or Webcam Kit Essential for clear, professional video calls. Smart Speaker (Amazon Echo or Google Nest) Plays music, manages to-do lists, and controls smart home devices. Cable Management System Keeps wires tidy and reduces workspace clutter. 🛋️ D. Home Comfort Items Heated Blanket or Lap Throw Adds warmth for chilly workdays. Essential Oil Diffuser Creates a calming environment with aromatherapy. Desk Plant (Real or Faux) Adds life and visual appeal to the workspace. Desktop Mug Warmer Keeps coffee or tea hot for hours. Customized Nameplate or Office Sign Adds a personal touch to any home office. Also Read: Legit Work From Home Jobs for Stepmoms: Real Opportunities & Flexible Roles in 2025 🧘 E. Wellness & Self-Care Subscription to Meditation Apps (e.g., Headspace, Calm) Encourages mindfulness and stress relief. Acupressure Mat Set Great for stretching and relaxing between tasks. Desk Exercise Equipment (Under-Desk Bike, Pedal Exerciser) Keeps users active while working. Healthy Snack Box Subscription Provides convenient, nutritious snacks during work hours. Eye Massager or Neck Massager Relieves tension from screen time and sitting. 🎨 F. Fun & Creative Gadgets Desktop Zen Garden or Kinetic Sculpture Ideal for moments of mindfulness and creativity. Mini Coffee or Espresso Machine A hit with coffee lovers. Smart LED Desk Lamp with Color Control Adds ambiance while improving lighting for productivity. USB-Powered Mini Fan or Heater Helps control desk-side temperature. Desk Toys (Fidget Spinner, Stress Ball, Magnetic Blocks) Fun and helpful for focus during long meetings. 💲 3. Budget-Friendly Gift Ideas (Under $30) You don’t have to break the bank to give a thoughtful gift. Here are excellent options for under $30: Blue light glasses Mug warmer Desk plant Daily motivational calendar Wireless mouse LED ring light (mini) Personalized mouse pad Notebook and pen set 💎 4. Premium Gift Ideas for Special Occasions (Over $100) Want to really impress? Try these premium picks: Ergonomic office chair ($150–$400) Dual monitor setup ($200+) Adjustable standing desk ($250+) High-end wireless headphones like Bose or Sony Customized art or wall decor for the home office These gifts are perfect for birthdays, promotions, anniversaries, or major holidays. 👤 5. Gifts for Different Personalities For the Minimalist Smart lamp Portable tech organizer Cable management kit For the Tech Enthusiast Bluetooth keyboard + mouse combo Docking station for multiple devices For the Creative Professional Drawing tablet Smart whiteboard Subscription to Adobe Creative Cloud For the Parent Working from Home Noise-canceling headphones Time-blocking planner Quick self-care gift set 📦 6. Subscription Services That Make Great Gifts Ongoing gifts are perfect for reminding someone you care month after month. Audible – Audiobooks for entertainment or learning Calm or Headspace – Meditation and sleep assistance HelloFresh or Blue Apron – Meal kits for busy professionals BarkBox (for dog parents) – Fun for furry coworkers Book of the Month Club – Curated books for casual readers 🛍️ 7. Where to Shop for Work-From-Home Gifts in the U.S. Reliable Places To Find Great Gifts Include Amazon – Wide range and fast delivery Etsy – Personalized and handmade items Best Buy – Great for tech and office electronics Target or Walmart – Budget-friendly, in-store availability UncommonGoods – Unique and creative gift ideas Office Depot/Staples – Ergonomic and productivity-focused items 🧠 8. Tips for Choosing the Right Gift Consider their job type – Do they write, design, manage, teach? Understand their personality – Minimalist, tech-lover, wellness-focused? Know their home office setup – Space limitations or preferences? Avoid items they already own – Especially headphones or monitors. Don’t forget presentation – A well-wrapped gift adds a personal touch. Also Read: How to Get a Legitimate Test for Working From Home or Skills Test ❌ 9. What NOT To Gift Remote Workers Some items may not land well: Oversized or hard-to-return equipment Vague “office decor” that may not suit their space Cheap tech that breaks easily Gag gifts that seem dismissive of their work Clothing items unless you’re sure of the size/style 🎉 10. Final Thoughts – Gifts for People Who Work From Home Remote workers thrive when their environment supports productivity, comfort, and well-being. Whether you’re shopping for a coworker, friend, family member, or employee, choosing one of these Gifts for People Who Work From Home in the U.S. is a great way to recognize their dedication and enhance their daily experience. With flexible budgets, personalized touches, and thoughtful consideration, you’ll find the perfect gift that delivers both function and joy—right to their home office. ❓FAQs – Gifts For People Who Work From Home What is a good gift for someone who works from home all day? A comfortable office chair, desk accessories, or noise-canceling headphones make great options. Are tech gadgets good gifts for remote workers? Yes, especially if they help boost productivity or enhance video call quality. What’s a thoughtful but affordable work-from-home gift? A mug warmer, footrest, or blue light glasses are practical and inexpensive. How much should I spend on a gift for a remote coworker? Anywhere from $20 to $50 is appropriate for casual coworker gifts. What’s a unique gift idea for remote workers? Consider a personalized office sign, a subscription box, or a mini coffee maker. Are wellness gifts appropriate for professional settings? Yes, wellness-focused gifts like meditation apps or ergonomic tools are increasingly common and appreciated. Can I give virtual gifts to remote employees? Absolutely—eGift cards, subscriptions, and digital planners are excellent virtual options. What gift suits someone working in a small home space? Compact items like a laptop stand, portable monitor, or space-saving organizer are ideal. What’s a good holiday gift for a remote team? Consider sending everyone a curated remote work care package with snacks, gadgets, and wellness items. Where can I find gift bundles for remote workers? Etsy, Amazon, and UncommonGoods often have themed bundles or customizable kits. Related Posts Step-by-Step: How to Start Your Remote Data Entry Career Today How to Balance a Part-Time Remote Job with Your Personal Life The Best Part-Time Remote Jobs for Extra Income in 2025 Is a Part-Time Remote Job Right for You? Pros, Cons, and Tips How to Find Flexible and High-Paying Part-Time Remote Jobs Best Data Annotation Work From Home Jobs Hiring in the U.S. Legit Work From Home Jobs for Stepmoms: Real Opportunities & Flexible Roles in 2025 How to Get a Legitimate Test for Working From Home or Skills Test Show more Show less

Type: Part-Time, Remote Perks: US organisation, can offer competitive compensation to Turing Compensation: Starting at $15/hour (~Rs. 1200+ per hour) if you work an average of 3 hours a day - that could be upwards of Rs 80K per month if you choose to work average 8 hours a day - that could be upwards of Rs 2L per month Minimum Commitment: 10 hours/week Signing Bonus: $300 for qualified candidates who onboard within the next week and stay for a month About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. The ideal candidate will have experience working with Turing.com and a strong background in data annotation, prompt engineering, and model fine-tuning. You will play a critical role in refining AI systems, providing essential human feedback, and enhancing overall model performance. 🌍💡 Key Qualifications: ✅ Experience in RLHF : Deep understanding of Reinforcement Learning (especially RLHF) for LLMs and how it applies to improving AI models. Hands-on experience in fine-tuning LLMs through iterative human feedback. ✅ Data Expertise: Prior experience in annotating datasets for AI/ML models with a focus on quality control. Experience with annotation tools and platforms like Labelbox, Prodigy, or Turing’s proprietary tools. ✅ Technical Proficiency: Familiarity with LLM frameworks like GPT-3/4, BERT, and advanced NLP models. Strong command of Python, SQL, or related programming languages for handling data processing tasks. Understanding of prompt engineering, and experience with platforms like Hugging Face or LangChain is a plus. ✅ Turing.com Experience: Prior work experience at Turing.com (or similar remote work platforms), with a focus on AI, data annotation, or similar roles. Understanding of the remote work dynamic and experience collaborating with distributed teams. ✅ Preferred Qualifications: Experience in model fine-tuning, prompt engineering, and human-in-the-loop systems. Familiarity with cloud platforms (AWS, Azure) and MLOps best practices. Previous work on reinforcement learning pipelines in large-scale AI projects. 🌍💡 What You’ll Do: You will play a key role in annotating and curating data for the training and fine-tuning of large language models (LLMs), ensuring annotations are accurate, consistent, and project-aligned. You’ll implement Reinforcement Learning with Human Feedback (RLHF) techniques, providing structured human feedback to guide model outputs and continuously fine-tune models to improve performance. 🌍💡 Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $15/hour based on experience and performance How to Apply: ✅ Fill the GoogleForm ✅ Wait for shortlisting email ✅ Receive offer letter ✅ Take onboarding seriously Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations | A+ track record in scaling startups. Growth @ Outlier AI Show more Show less

Type: Part-Time, Remote Perks: US organisation, handsome compensation Compensation: Starting at $20 to $35/hour (~Rs. 2200+ per hour) if you work an average of 3 hours a day - that could be upwards of Rs 1.5L per month if you choose to work average 8 hours a day - that could be upwards of Rs 3.5L per month Minimum Commitment: 10 hours/week About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. The ideal candidate will have experience working with Turing.com and a strong background in data annotation, prompt engineering, and model fine-tuning. You will play a critical role in refining AI systems, providing essential human feedback, and enhancing overall model performance. 🌍💡 Key Qualifications: ✅ Experience in RLHF : Deep understanding of Reinforcement Learning (especially RLHF) for LLMs and how it applies to improving AI models. Hands-on experience in fine-tuning LLMs through iterative human feedback. ✅ Data Expertise: Prior experience in annotating datasets for AI/ML models with a focus on quality control. Experience with annotation tools and platforms like Labelbox, Prodigy, or Turing’s proprietary tools. ✅ Technical Proficiency: Familiarity with LLM frameworks like GPT-3/4, BERT, and advanced NLP models. Strong command of Python, SQL, or related programming languages for handling data processing tasks. Understanding of prompt engineering, and experience with platforms like Hugging Face or LangChain is a plus. ✅ Turing.com Experience: Prior work experience at Turing.com (or similar remote work platforms), with a focus on AI, data annotation, or similar roles. Understanding of the remote work dynamic and experience collaborating with distributed teams. ✅ Preferred Qualifications: Experience in model fine-tuning, prompt engineering, and human-in-the-loop systems. Familiarity with cloud platforms (AWS, Azure) and MLOps best practices. Previous work on reinforcement learning pipelines in large-scale AI projects. 🌍💡 What You’ll Do: You will play a key role in annotating and curating data for the training and fine-tuning of large language models (LLMs), ensuring annotations are accurate, consistent, and project-aligned. You’ll implement Reinforcement Learning with Human Feedback (RLHF) techniques, providing structured human feedback to guide model outputs and continuously fine-tune models to improve performance. 🌍💡 Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $20/hour based on experience and performance Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations | A+ track record in scaling startups. Growth @ Outlier AI Show more Show less

So, what’s the role all about? A Specialist Software Engineer in Java Backend typically holds a prominent position in software development teams, responsible for designing, developing, and implementing complex software solutions that leverage backend technologies. Here's an overview of the key responsibilities and qualifications for this role: How will you make an impact? Participate in our product development from ideation to deployment and beyond. Maintain quality, ensure responsiveness, and help optimize new and existing systems. Collaborate with the rest of the engineering team to design and build new features on time and to budget. Maintain code integrity and organization. Understanding and implementation of security and data protection. Understanding of the Business Change cycle from inception to implementation, including the organization of Change initiative Highly experienced with the Java programming languages and related frameworks such as Spring and Hibernate. Developing front end and proficient experience using Angular 10+. Ability to coordinate build and release activities with key stakeholders. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute 8-11 years of software development experience At least 8 years of working experience in Core Java, proficient with Java algorithms and data structures Worked in high performance, highly available and scalable systems Strong experience with J2EE, Spring Framework, IOC, annotations Experience in any object-relational mapping (e.g. Hibernate) Strong knowledge of OOAD and Design patterns Development experience building solutions that leverage SQL and NoSQL databases Strong Development experience creating RESTful Web APIs Experience designing and developing scalable multi-tenant SaaS-based solutions Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc You will have an advantage if you also have: Knowledge of BIG DATA and ETL Concepts (or BI tool like Tableau) will be added advantage Experience designing and developing scalable multi-tenant SaaS-based solutions Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc Development experience in JavaScript, Angular/ReactJS, Java Server Pages, Java Server Faces will be added plus Experience working in an Agile methodology development environment and using work item management tools like JIRA Ability to work independently and collaboratively, good communication skill Bring a culture of Innovation to the job Ability to work under high pressure High attention to details and accuracy What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 6876 Reporting into: Tech Manager Role Type: Individual Contributor

In today’s digital era, data is the new oil, and companies are increasingly relying on data annotation to power artificial intelligence (AI) and machine learning (ML) models. This has led to a surge in remote data annotation jobs , offering flexible, work-from-home opportunities to a wide array of job seekers. Whether you’re a student, stay-at-home parent, freelancer, or someone looking to earn extra income, data annotation jobs from home can be a lucrative and viable option. Career fairs This blog post explores the best data annotation work-from-home jobs hiring in the U.S. , top platforms to find these opportunities, required skills, earning potential, and how to get started. Let’s dive in! What We Cover Here What is Data Annotation? Why Choose Data Annotation as a Work From Home Job? Top Companies Hiring for Remote Data Annotation Jobs Best Platforms to Find Work From Home Data Annotation Jobs Skills Required for Data Annotation Jobs How Much Can You Earn? How to Get Started With Data Annotation Pros and Cons of Data Annotation Jobs Success Tips for Beginners Conclusion FAQs Career fairs Recruitment services What is Data Annotation? Data Annotation Is The Process Of Labeling Or Tagging Data — Such As Text, Images, Audio, Or Video — So That Machines Can Understand And Use It Effectively. Annotated Data Helps Train Machine Learning Models For Various Applications Like Image recognition Natural language processing Sentiment analysis Speech recognition Self-driving car navigation For example, labeling objects in a photo (cat, car, person) helps AI systems learn to identify them in new images. Also Read: High-Paying Django Remote Jobs You Can Apply for Today Why Choose Data Annotation as a Work From Home Job? Data Annotation Is Ideal For Remote Workers Because It Career fairs Requires minimal technical expertise Can be done part-time or full-time Offers flexible working hours Has low entry barriers Can be performed from any location It’s Especially Suited For Students Retirees Freelancers Stay-at-home parents People with disabilities Top Companies Hiring for Remote Data Annotation Jobs Several Reputed Companies And Startups Actively Recruit Data Annotators To Support Their AI Initiatives. Here Are Some Of The Top Employers Hiring In The U.S. Career fairs Recruitment services Appen A leader in AI training data, Appen offers part-time, flexible data annotation roles. Projects range from text categorization to image tagging. Lionbridge AI (Now Telus International AI) Provides remote annotation and linguistics jobs. Opportunities include image annotation, transcription, and sentiment analysis. Scale AI Works with contractors to label complex data sets, especially for autonomous vehicles. High-paying but may require technical tests. Amazon Mechanical Turk (MTurk) A popular crowdsourcing platform offering small annotation tasks known as HITs (Human Intelligence Tasks). Remotasks Specializes in image, video, and 3D annotation. Ideal for beginners; training is provided via the Remotasks Academy. Clickworker Provides microtasks, including data labeling and product categorization. Easy to sign up and start earning. iMerit Provides high-quality data labeling for computer vision, NLP, and other AI applications. Offers training and career advancement. Job market trends TaskMonet Emerging platform offering specialized video and image tagging tasks for AI systems. Best Platforms to Find Work From Home Data Annotation Jobs If you’re starting out, these platforms can connect you to legitimate, remote data annotation jobs: Freelance Marketplaces Upwork Fiverr Freelancer.com Remote Job Boards Career fairs CareerCartz We Work Remotely FlexJobs Remote OK Crowdsourcing Sites Appen Lionbridge AI Clickworker Amazon MTurk Skills Required for Data Annotation Jobs While data annotation is often entry-level, some skills and traits can help you stand out: Essential Skills Attention to detail Basic computer proficiency Time management English reading and comprehension Typing speed and accuracy Desirable Skills Knowledge of machine learning basics Experience with labeling tools (e.g., Labelbox, CVAT) Familiarity with cloud platforms like AWS Many platforms also provide training, so a strong willingness to learn can be more valuable than prior experience. Also Read: High-Demand Remote Data Engineer Jobs You Can Land in 2025 How Much Can You Earn? Earnings Vary Widely Depending On The platform or company The complexity of the task Your speed and efficiency Your experience level General Earning Range Beginner: $5 – $10/hour Intermediate: $10 – $20/hour Experienced: $20 – $35/hour or project-based earnings Example Earnings By Platform Platform Average Pay (USD/hour) Appen $8 – $14 Lionbridge $10 – $15 Remotasks $5 – $20 Scale AI $15 – $30 Clickworker $5 – $12 How to Get Started With Data Annotation Follow these steps to launch your career in data annotation: Step 1: Sign Up on Reliable Platforms Register with websites like Appen , Remotasks , or Clickworker . Step 2: Complete Onboarding or Training Some platforms require passing tests or watching training videos before you can start. Step 3: Build Your Profile Include any relevant skills, languages you know, and any prior experience in data labeling. Step 4: Take Initial Tasks Start with beginner-friendly tasks to gain confidence and positive ratings. Step 5: Scale Up As you gain experience, apply to higher-paying and more complex projects. Pros and Cons of Data Annotation Jobs ✅ Pros Work-from-home flexibility Low barrier to entry Regular availability of tasks No advanced degree required Good for passive income ❌ Cons Some tasks are repetitive Pay can be low initially Irregular work on some platforms Can require long hours for decent pay Success Tips for Beginners Here are some practical tips to succeed in your remote data annotation career: Join multiple platforms – Avoid relying on one source of income. Prioritize accuracy – Mistakes may disqualify you from future tasks. Improve typing speed – Increases your efficiency. Track your time – Helps in evaluating which platforms are worth it. Participate in forums – Reddit, Facebook groups, and Discord channels can be great resources. Take feedback seriously – Helps improve performance over time. Upgrade your system – A faster PC and stable internet make a big difference. Conclusion – Data Annotation Work From Home Jobs Remote data annotation jobs present a fantastic opportunity for people in the U.S. looking to earn income from the comfort of their homes. Whether you’re aiming for a full-time income or a part-time gig, this field offers flexibility, scalability, and growing demand. With platforms like Appen, Remotasks, and Scale AI , getting started has never been easier. By building your skills, staying consistent, and choosing the right projects, you can turn data annotation into a rewarding remote career. FAQs – Data Annotation Work From Home Jobs Is prior experience necessary for data annotation jobs? No, most platforms provide training. Basic computer skills and attention to detail are usually enough to get started. How do I know if a data annotation job is legitimate? Stick to well-known platforms like Appen, Lionbridge, and Remotasks. Avoid offers that ask for upfront payments. Can I do data annotation part-time? Absolutely! Most jobs are task-based and offer flexible hours. Is data annotation a good long-term career? It can be. While entry-level tasks are low-paying, advanced annotation roles and quality assurance positions offer higher pay and growth. Do I need special equipment? A computer with a stable internet connection is usually sufficient. Some tasks may require headphones or a webcam. Are there any certifications that can help? Not mandatory, but courses on Udemy or Coursera about machine learning and annotation tools can boost your profile. What kind of tasks will I be doing? Tasks range from labeling images, transcribing audio, categorizing content, to drawing bounding boxes on videos. How is payment handled? Most platforms pay weekly or monthly through PayPal, Payoneer, or direct bank transfer. Can I do this work on a mobile phone? Some platforms offer mobile-friendly tasks, but most require a desktop or laptop. What’s the best way to increase earnings in data annotation? Work on high-paying platforms, improve your task accuracy, and gradually take on more complex projects. Related Posts Work From Home Statutory Employee: What You Need to Know in the U.S. Step-by-Step: How to Start Your Remote Data Entry Career Today Top 10 Part-Time Remote Jobs You Can Start Today Empowering Women: The Best Work From Home Jobs for Female Best Remote Accounting Jobs for Professionals in 2025 Top 10 Work from Home Jobs in Delhi Hiring Now How to Find Genuine Work from Home Jobs in Delhi Without Investment Top 1099 Work From Home Jobs in the U.S. for Independent Contractors Show more Show less

Frontend Engineer Role Requirements Required We are seeking a skilled Frontend engineer with expertise in developing web applications. The ideal candidate should possess the following skills and experience: Svelte and SvelteKit (or equivalent in React and Next.js) Experience with Svelte component framework for building reactive web interfaces with minimal boilerplate Proficiency in SvelteKit for creating full stack web applications with server side rendering and file based routing HTML and CSS Strong foundation in semantic HTML for structuring web content Expertise in CSS for styling and responsive design, including modern techniques like Flexbox and Grid JavaScript Advanced JavaScript programming skills for client side and server side development Knowledge of ES6+ features, asynchronous programming, and DOM manipulation TypeScript Strong knowledge of TypeScript for adding static typing to JavaScript applications Experience using interfaces, types, and generics to improve code quality and developer workflow Ability to configure and optimize TypeScript compiler settings for frontend projects PDF.js (or equivalent for handling pdfs in browser) Experience implementing PDF.js library to render and interact with PDF documents in web applications Skills in building PDF viewing, annotation, and processing capabilities within browser environments Large Language Model (LLM) API Integration Basic understanding of how to interact with LLM APIs like OpenAI's GPT Ability to handle LLM calls responses from backend (e.g. chatbots interfaces) Python Fundamentals Working knowledge of Python syntax and core concepts Familiarity with using Python-based backend services that support frontend applications Containerization Awareness Basic understanding of Docker concepts and container-based workflows Familiarity with how frontend applications are deployed in containerized environments Additional Skills Version Control Proficiency with Git for code management and team collaboration Cloud Basics Understanding of deploying frontend applications to cloud platforms Data Handling Experience working with APIs and managing data flows to from the frontend Communication Ability to collaborate with backend teams and translate technical requirements into frontend implementations Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad 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. AND/OR 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad 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. AND/OR 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Sigma.AI is a world-leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. We are looking for native Bengali (India) speakers for our remote projects. This is a flexible task to be completed through an online application, available 24/7. Requirements Good oral comprehension and written expression of the mentioned language is essential. Proficient level of English. Computer skills at user level. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. Show more Show less

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Urdu speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Urdu. Intermediate level of English or Spanish. Computer skills at user level. It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. Show more Show less

Company Description TransForm Solutions is a World-Class Business Process Management & Automation company based in Surat, offering custom operational support and back-office services globally. They focus on maximizing efficiency, reducing costs, and providing customer-centric solutions across various industries. Role Description This is a full-time on-site role in Surat for a Data Research Executive at TransForm Solutions. The Data Research Executive will be responsible for conducting B2B research services, data services, and data annotation to support operational efficiency and decision-making processes. Qualifications Data Research and Analysis skills Experience with Data Services and Data Annotation Proficiency in conducting B2B research Strong attention to detail and accuracy Knowledge of Robotic Process Automation (RPA) is a plus Bachelor's degree in Data Science, Business, or related field Show more Show less

Job Title: Data Annotation Specialist Job Type : Full-time Location: Remote Job Summa r y:We are looking for a meticulous Data Annotation Specialist to enhance our human data training for AI and ML projects. The successful candidate will meticulously label, categorize, and annotate various data types, ensuring precision and consistency in alignment with project guide line s. Key Responsibil iti es:Accurately annotate and label datasets, including text, images, audio, and video, following project-specific guidelin es.Review and validate annotations for quality assurance.Identify and report edge cases or unclear scenarios to improve guidelin es.Collaborate with team members to ensure consistent and accurate data labeli ng.Meet deadlines for assigned annotation tasks while maintaining high-quality s tandar ds. Required Skills and Qualifi cati ons:Strong attention to detail and focus on accuracy.Ability to follow complex instructions and guideli nes.Basic knowledge of data annotation tools (e.g., Labelbox, Prodigy, or simil ar).Good communication skills to explain annotation decisi ons.Familiarity with AI/ML concepts is a plus but not mandat ory.Proficient in English, with clear written and verbal communica tion ski lls. Preferred Quali ficat ions:Previous experience in data annotation or related fi elds.Exposure to projects involving AI, ML, or data sci ence. Show more Show less

We’re looking for an Image Data Ops Manager to manage the curation of culturally rich visual datasets from India. You’ll coordinate shoots, manage visual QA, and prepare images for VLM training and benchmarking. If you love structured ops and India’s cultural diversity, this role is for you. Responsibilities: · Organize image capture campaigns: rituals, clothing, festivals, scenes · Coordinate with photographers and annotation teams · Manage data integrity, diversity quotas, and visual balance · Track and tag image metadata: region, setting, action · Ensure image resolution, clarity, and lighting standards · Manage labelling (bounding boxes) for images Must-Haves: · Bachelor’s degree in Visual Arts, Design, Anthropology, or related field · 3–5 years of experience in visual data or image-based research projects · Knowledge of basic photography terms, lighting, resolution · Experience working with annotation teams or image QA · Familiarity with image formats, EXIF data, tagging workflows · Interest in Indian rituals, architecture, visual culture Be part of India’s first cultural vision-language benchmark effort. Show more Show less

Join us to lead video dataset creation for Josh Talks AI. You’ll design and execute high-quality video shoots capturing Indian conversations, rituals, and gestures. From clip planning to file organization and annotation handoff, this role is central to our multimodal data ops. Responsibilities: · Plan and supervise shoots for rituals, street scenes, interviews · Ensure video quality: framing, resolution, lighting, clarity · Collaborate with linguists, camera teams, and annotation leads · Manage video QA, compression, scene tagging, and speaker metadata · Organize storage and upload pipelines (Google Drive/S3) Must-Haves: · Bachelor’s degree in Film Studies, Media, Communications, or related field · 4–6 years of experience in video production or data ops · Basic editing/formatting skills (FFmpeg, Adobe, or equivalent) · Strong organizational skills for managing large video files · Understanding of multimodal AI data or interest in the space · Comfort working with field teams and annotators Apply to bring India’s cultural complexity to the world of AI video reasoning. Show more Show less

Having 5 to 20 years’ experience in Petrochemical, Oil & Gas, Fertilizers and Refinery types of projects with responsibilities for 3D modelling, extraction and annotation of drawings using Revit structural software for concrete structures/UG works. Show more Show less

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road. Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries. Job Title: Senior AI Platform Product Manager Location: Bangalore Department: Product Management Reports To: Director About the Role: We are seeking an experienced Senior AI Platform Product Manager to lead the development and continuous improvement of our AI-driven platform. This role focuses on ensuring robust, consistent, and accurate AI features through close collaboration with cross-functional teams. The ideal candidate will have a strong domain knowledge in machine learning, particularly in computer vision, and will drive initiatives to enhance our platform's AI capabilities and analytics features. Key Responsibilities: Safety Feature Development: Drive the development of new AI-driven safety features by working with both international and Indian fleet customers. Inspire innovation and align feature development with customer needs and market opportunities. AI KPI Management: Understand and measure machine learning algorithms using key performance indicators (KPIs) such as precision, recall, and false positive rate. Apply basic statistical principles to ensure unbiased and accurate performance evaluations; and collaborate with the Analytics Operations team to root cause ML observations. Continuous Improvement Initiatives: Lead ML continuous improvement (CI/CD) efforts with the ML Infrastructure team, aiming for 99%+ model accuracy. Prioritize improvements based on current KPIs and collaboration with ML Infra Product Experts. User Experience: Work with the UX team to enhance customer interactions with video annotation, alert decoration, and feature configurations. Release Management: Manage roadmap enhancements for release cycles. Ensure proper release notes and collaborate with the technical documentation team for customer-facing communications. Compliance and Best Practices: Review all AI Product Management PRDs to ensure they meet the platform's standards and best practices. Mentorship: Mentor junior product managers, fostering a culture of learning and collaboration within the team. Skills: Strong analytical skills with an ability to evaluate data, assess risks, and make informed decisions. Excellent communication skills tailored to different audiences, including engineering, marketing, support, and leadership. Ability to lead cross-functional teams and drive complex projects to completion. Qualifications and Experience: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree preferred. At least 10 years of experience in technology, with 5+ years in Product Management focusing on AI-driven platforms. Strong understanding of machine learning, computer vision, and statistical principles. Experience with product management tools such as JIRA, Confluence, or similar. Proven ability to work with international teams and flexibility to accommodate different time zones, including evening IST meetings. Experience in video telematics and fleet management is a plus. We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website. Show more Show less

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who We Are ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with datasolutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of theindustry and we want you to join us on our journey. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we’re looking for talented individuals to join our team. As we expand our platform, we’re offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further! Join us in shaping the future of the automotive marketplace! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Job Summary We are seeking a meticulous and detail-oriented Data Annotations Operator I to join our team in June. We are adding new teamamtes for this role for a June 2, 2025 start date . As a Data Annotations Operator I, you will be responsible for accurately labeling and annotating datasets, which are critical for training machine learning models. You will work closely with data scientists and machine learning engineers to ensure the quality and consistency of labeled data. Key Responsibilities Annotate and label data (text, images, audio/ video) according to provided guidelines and specifications. Perform quality checks on annotated data to ensure accuracy and completeness. Collaborate with annotation leads to understand annotation requirements and refine guidelines. Use annotation tools and software to label data efficiently and accurately. Provide feedback to improve annotation processes and tools. Meet deadlines and maintain high productivity without compromising quality. Perform additional duties as assigned. Required Qualifications and Skills: Strong attention to detail and focus on accuracy. Ability to follow detailed instructions and guidelines. Familiarity with basic computer operations and annotation tools like Segements.ai Effective communication skills and ability to collaborate with team members. Ability to work independently and manage time effectively. Teammates are required to work in shifts aligned with customer time zones. Preferred Required 1- 2 yrs experience in annotation. Experience in data labeling, annotation, or a related role. Familiarity with AI/ML concepts and the role of data annotation in model training. Exposure to domain-specific datasets (e.g., automotive as a sector). Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Show more Show less

Job Type Full-time Description AI Data Annotator Job Descriptions Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Role Description: As a Data Annotator, your role involves carefully labeling and annotating data based on established guidelines. Your attention to detail contributes to the success of our AI initiatives. Collaborating closely with the AI team, you ensure accuracy and consistency in data annotations. If you appreciate the importance of precision in data handling and want to be part of innovative projects, join us as a Data Annotator. Responsibilities Performs annotation for Text files to support ground truth data generation. Understands and follows the procedures and guidelines to execute daily tasks. Excellent attention to detail to ensure accuracy and consistency in inputs data. Performs repetitive annotation activities and adapts to dynamic instructions without compromising on quality. Uses internal tools and software provided by the team to track daily status completion and queries. May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. Suggests improvements to tools, processes, and annotation guidelines. Excellent collaboration skills, with the ability to effectively communicate feedback and suggestions. Requirements Qualifications A graduate in any field of study. Quantitative fields such as science and engineering are preferred but not mandatory. Minimum of 6 months of work experience in data labeling on Text data with multiple classes of objects and attributes. Excellent English communication and interpersonal skills. Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required. Basic knowledge on ML data labeling process, related tools and software used for ground truth generation. Flexibility and Interest to do repetitive tasks is required. Exceptional attention to detail. 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. Why You’ll Join Us At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen. Show more Show less

Every second, the internet gets messier. Content floods in from humans and machines alike—some helpful, some harmful, and most of it unstructured. Forums, blogs, knowledge bases, event pages, community threads: these are the lifeblood of digital platforms, but they also carry risk. Left unchecked, they can drift into chaos, compromise brand integrity, or expose users to misinformation and abuse. The scale is too big for humans alone, and AI isn't good enough to do it alone—yet. That's where we come in. Our team is rebuilding content integrity from the ground up by combining human judgment with generative AI. We don't treat AI like a sidekick or a threat. Every moderator on our team works side-by-side with GenAI tools to classify, tag, escalate, and refine content decisions at speed. The edge cases you annotate and the feedback you give train smarter systems, reduce false positives, and make AI moderation meaningfully better with every cycle. This isn't a job where you manually slog through a never-ending moderation queue. It's not an outsourced content cop role. You'll spend your days interacting directly with AI to make decisions, flag patterns, streamline workflows, and make sure the right content sees the light of day. If you're the kind of person who thrives on structured work, enjoys hunting down ambiguity, and finds satisfaction in operational clarity, this job will feel like a control panel for the future of content quality. You'll be joining a team obsessed with platform integrity and operational scale. Your job is to keep the machine running smoothly: managing queues, moderating edge cases, annotating training data, and making feedback loops tighter and faster. If you've used tools like ChatGPT to get real work done—not just writing poems or brainstorming ideas, but actually processing or classifying information—this is your next level. What You Will Be Doing Review and moderate user- and AI-generated content using GenAI tools to enforce platform policies and maintain a safe, high-quality environment Coordinate content workflows across tools and teams, ensuring timely processing, clear tracking, and smooth handoffs Tag edge cases, annotate training data, and provide structured feedback to improve the accuracy and performance of AI moderation systems What You Won’t Be Doing A boring content moderation job focused on manually reviewing of blogpost after blogpost An entry-level admin role with low agency or impact, just checking boxes in a queue AI Content Analyst Key Responsibilities You will be responsible for maintaining the integrity and safety of digital platforms by leveraging AI tools to efficiently moderate content at scale while continuously improving automated systems through expert human feedback. Basic Requirements At least 1 year of professional work experience Hands-on experience using GenAI tools (e.g., ChatGPT, Claude, Gemini) in a professional, academic, or personal productivity context Strong English writing skills Nice-to-have Requirements Experience with content moderation, trust and safety, or quality assurance Familiarity with structured data annotation or labeling Background in operations, workflow management, or process optimization Interest in AI ethics, responsible AI development, or AI alignment About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-LK-COUNTRY-AIContentAnaly Show more Show less

TEAM LEAD –Lidar/ADAS Required Skill: 3-5 years of relevant experience in a leadership role within IT services. Previous experience in LiDAR data annotation/CV projects, particularly with 3D, 2D BB and polygon annotation, is preferable. Experience in a leadership or supervisory role is preferred. Prior experience in a client-facing role managing multiple projects simultaneously is highly preferred. Education Qualification: Minimum Graduate Roles & Responsibility: • Lead a team of annotators (minimum of 20) to ensure timely and accurate delivery of annotated LiDAR data. • Develop project plans, set milestones, and monitor progress to ensure deadlines are met. • Annotation Quality Assurance • Define annotation guidelines and standards for cuboid and polygon annotation. • Conduct quality checks and audits to ensure annotations meet accuracy and consistency requirements. Technical Skills Proficiency in LiDAR data processing tools and annotation software (e.g., Labelbox, Cubemos) is required. Knowledge of 3D point cloud data formats and understanding of geometric shapes (cuboids, polygons) is beneficial. Team Supervision and Training Provide guidance, mentorship, and supervision to annotation team members. Train new team members on annotation techniques, tools, and project-specific requirements. Tool and Workflow Optimization Evaluate and implement annotation tools and software to improve efficiency and accuracy. Develop and refine annotation workflows to streamline processes and maximize productivity. Communication and Collaboration Liaise with project stakeholders (e.g., clients, project managers) to understand requirements and expectations. Communicate project updates, challenges, and solutions effectively to ensure transparency and alignment. Show more Show less

Job Description: Language Expert – Generative AI Company: iMerit Technology Position Type: Remote Language as a Domain Specialization Target Languages: Persian Position Type: Remote - Contractual and 40 hours per week Position Overview: iMerit is looking for experienced and dedicated bilingual Language Leads to manage remote teams of language experts working on diverse annotation projects within the Generative AI space. The Language Lead will ensure linguistic accuracy, context relevance, and ethical compliance in language-specific annotation tasks, contributing to high-quality datasets. Role Responsibilities: Lead and supervise remote bilingual teams responsible for linguistic annotations and content quality reviews. Oversee the annotation quality, providing linguistic and cultural insights specific to the target language. Conduct regular linguistic quality assessments, provide feedback, and implement improvements. Collaborate closely with project managers, solution architects, and training teams to effectively translate, understand, and communicate guidelines, standards, and objectives. Generate and interpret linguistic analysis reports and deliver actionable insights for quality enhancements. Assist in quality assurance processes, ensuring alignment with ethical standards and project requirements. Facilitate team meetings and foster an inclusive, collaborative environment for remote contributors. Skills & Competencies: Excellent bilingual communication skills, including native proficiency in the target language and professional proficiency in English. Strong analytical and linguistic skills, including identifying ambiguity, inaccuracies, and linguistic nuances. Demonstrated leadership and team management capabilities, especially with remote and multicultural teams. Highly organized, detail-oriented, and capable of managing multiple tasks effectively. Ability to quickly adapt and navigate new annotation platforms and software tools. Proactively updated on Generative AI, NLP, and linguistic annotation methodologies advancements. Requirements: Native-level proficiency in the target language and professional working proficiency in English. Bachelor's degree in Linguistics, Cognitive Science, Foreign Languages, or related fields. Minimum 2-3 years of experience in linguistic annotation, data annotation, or similar roles. Previous experience in managing remote teams or projects. Proven experience working with data annotation tools. Ability to commit to the duration of specific project contracts, including onboarding and training periods. What We Offer: Collaborative and dynamic international work environment. Opportunity to contribute to cutting-edge AI projects. Competitive compensation with flexible working arrangements. Continuous professional development opportunities. Join iMerit and contribute to the forefront of linguistic innovation in Generative AI. If you are passionate about language, technology, and leading diverse remote teams, we welcome your application! Show more Show less

Job Description: Language Expert – Generative AI Company: iMerit Technology Position Type: Remote Language as a Domain Specialization Target Languages: Spanish Position Type: Remote - Contractual and 40 hours per week Position Overview: iMerit is looking for experienced and dedicated bilingual Language Leads to manage remote teams of language experts working on diverse annotation projects within the Generative AI space. The Language Lead will ensure linguistic accuracy, context relevance, and ethical compliance in language-specific annotation tasks, contributing to high-quality datasets. Role Responsibilities: Lead and supervise remote bilingual teams responsible for linguistic annotations and content quality reviews. Oversee the annotation quality, providing linguistic and cultural insights specific to the target language. Conduct regular linguistic quality assessments, provide feedback, and implement improvements. Collaborate closely with project managers, solution architects, and training teams to effectively translate, understand, and communicate guidelines, standards, and objectives. Generate and interpret linguistic analysis reports and deliver actionable insights for quality enhancements. Assist in quality assurance processes, ensuring alignment with ethical standards and project requirements. Facilitate team meetings and foster an inclusive, collaborative environment for remote contributors. Skills & Competencies: Excellent bilingual communication skills, including native proficiency in the target language and professional proficiency in English. Strong analytical and linguistic skills, including identifying ambiguity, inaccuracies, and linguistic nuances. Demonstrated leadership and team management capabilities, especially with remote and multicultural teams. Highly organized, detail-oriented, and capable of managing multiple tasks effectively. Ability to quickly adapt and navigate new annotation platforms and software tools. Proactively updated on Generative AI, NLP, and linguistic annotation methodologies advancements. Requirements: Native-level proficiency in the target language and professional working proficiency in English. Bachelor's degree in Linguistics, Cognitive Science, Foreign Languages, or related fields. Minimum 2-3 years of experience in linguistic annotation, data annotation, or similar roles. Previous experience in managing remote teams or projects. Proven experience working with data annotation tools. Ability to commit to the duration of specific project contracts, including onboarding and training periods. What We Offer: Collaborative and dynamic international work environment. Opportunity to contribute to cutting-edge AI projects. Competitive compensation with flexible working arrangements. Continuous professional development opportunities. Join iMerit and contribute to the forefront of linguistic innovation in Generative AI. If you are passionate about language, technology, and leading diverse remote teams, we welcome your application! Show more Show less

FairAds AI is at the forefront of revolutionizing advertising. We're seeking a highly motivated Machine Learning Engineer / Deep Learning Engineer Intern to join our pioneering team for an immediate start in Mumbai, Maharashtra, India. This is a paid, in-person position . You'll dive deep into developing and deploying, DPDP-compliant ML/DL models for real-time analytics. This is a unique opportunity to work on impactful projects involving Computer Vision, real-time data processing, and privacy-preserving AI. What You'll Help Build & Responsibilities * Develop & Implement ML/DL Models: Design, train, and fine-tune models like YOLO, DeepSORT, and DeepFace for tasks such as impression counting, dwell time analysis, and anonymized demographic analysis. * Advanced Computer Vision Tasks: Apply your OpenCV and CV knowledge for object detection, tracking, pose estimation, and image segmentation on real-world video streams. * Data Preprocessing & Management: Handle raw camera data, including cleaning, annotation, and implementing anonymization techniques (e.g., blurring, feature embeddings) to ensure DPDP Act compliance. Manage datasets using tools like DVC or cloud storage. * Edge Computing & Deployment: Optimize and deploy models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi), managing real-time processing pipelines and considering power/thermal constraints. * Real-Time Analytics: Design streaming data pipelines for video feeds and optimize inference speed (e.g., using TensorRT) to deliver low-latency KPIs. * Privacy by Design: Actively contribute to building privacy-preserving ML pipelines, understanding DPDP Act principles (data minimization, consent, purpose limitation) and implementing secure data handling. * Containerization & CI/CD: Utilize Docker to package and deploy models consistently. Contribute to CI/CD pipelines for automated testing and deployment. Core Technical Skills We're Looking For * Python Programming: Proficiency in Python for ML/DL development, including libraries like PyTorch, TensorFlow, OpenCV, NumPy, Pandas, and Matplotlib. Ability to write modular, reusable code. * Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, neural networks (CNNs), architectures (YOLO, ResNet, ViT), transfer learning, loss functions, optimizers, and regularization. * Computer Vision: Expertise with OpenCV for image/video processing, object detection, tracking, and pose estimation. Experience handling real-time video streams. * Data Preprocessing: Skills in data cleaning, transformation, annotation, and implementing anonymization techniques. Key Domain-Specific & Deployment Skills Needed * Edge Computing: Experience or strong interest in optimizing models (pruning, quantization) for resource-constrained edge hardware (NVIDIA Jetson, Raspberry Pi) and managing real-time edge processing. * Real-Time Analytics: Ability to design streaming data pipelines and optimize for low-latency inference. * Docker & Containerization: Writing Dockerfiles and managing containers for ML model deployment. * Edge Device Deployment: Configuring edge hardware (CUDA, cuDNN), managing cross-compilation, monitoring, and potentially OTA updates. * Version Control & CI/CD (Git, GitHub Actions/Jenkins): Experience with versioning code and models (MLflow, DVC) and automation. * Cloud Integration (Optional but valued): Familiarity with AWS, Azure, or GCP for aggregating anonymized KPIs or model training. API development (Flask/FastAPI) is a plus. Soft Skills for Success * Problem-Solving & Analytical Thinking: Ability to tackle complex challenges in model performance. * Attention to Detail: Meticulous approach to data handling, model accuracy, and compliance requirements. * Pro Vibe Coder: You're someone who can skillfully navigate and debug code, especially code that might have been initially generated or assisted by AI, ensuring its robustness and efficiency. What We Offer * Pioneering Projects: Work on groundbreaking analytics solutions using advanced AI and edge computing. * Hands-on Experience: Gain invaluable experience with the full lifecycle of ML models – from conception to deployment on edge devices. * Mentorship: Learn from experienced professionals in AI, Computer Vision, and privacy-preserving technologies. * Impactful Contribution: Directly contribute to building a more intelligent and compliant ecosystem. Show more Show less

Job Title: Data Annotation Specialist Job Type : Full-time Location: Remote Job Summa r y:We are looking for a meticulous Data Annotation Specialist to enhance our human data training for AI and ML projects. The successful candidate will meticulously label, categorize, and annotate various data types, ensuring precision and consistency in alignment with project guide line s. Key Responsibiliti es:Accurately annotate and label datasets, including text, images, audio, and video, following project-specific guidelin es.Review and validate annotations for quality assurance.Identify and report edge cases or unclear scenarios to improve guidelin es.Collaborate with team members to ensure consistent and accurate data labeli ng.Meet deadlines for assigned annotation tasks while maintaining high-quality standa r ds. Required Skills and Qualificati ons:Strong attention to detail and focus on accuracy.Ability to follow complex instructions and guideli nes.Basic knowledge of data annotation tools (e.g., Labelbox, Prodigy, or simil ar).Good communication skills to explain annotation decisi ons.Familiarity with AI/ML concepts is a plus but not mandat ory.Proficient in English, with clear written and verbal communica t ion sk i lls. Preferred Quali ficat ions:Previous experience in data annotation or related fi elds.Exposure to projects involving AI, ML, or data sci ence. Show more Show less