The Role Reviews and annotates video content by identifying objects, people, actions, events, and visual details for AI training. Follows project guidelines, checks annotation quality, corrects inconsistencies, flags unclear content, meets productivity targets, and adapts to updated requirements. The role requires independent, detail-focused work, strong written English comprehension, basic computer skills, reliable internet, and personally provided equipment suitable for video annotation. Summary Generated by

Built In Employment Type:

Project-based Location:

Remote:

USA, LATAM

About Expedock We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential Who We Need We're looking for a detail-oriented, motivated individual to join our team as an Entry-Level AI Data Annotator. This role is perfect for anyone who's curious about AI and computer vision and wants to get hands-on experience, even if it's your first time working with these kinds of datasets. What You'll Do Perform basic image segmentation and object labeling following clear instructions, including polygons, bounding boxes, and semantic segmentation. Work with datasets such as roads, vehicles, curbs, lane markings, satellite imagery, blueprints, roofing, etc. Ensure accuracy by following simple QA checks and guidelines. Meet daily productivity goals and help keep projects on track. Ask questions and collaborate with team leads to resolve unclear labeling tasks. Suggest small improvements to make your workflow easier and faster. What You Need Good attention to detail and a careful eye for visual accuracy. Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required. Willingness to learn and follow structured guidelines. Clear communication skills for asking questions or reporting issues. Comfortable working in a remote or team-based setup with productivity tracking. Performance Metrics Daily image labeling throughput (images/day per operator). Annotation accuracy rate (as measured by QA review). Compliance with labeling guidelines and turnaround time. Candidate Data & Privacy Notice By submitting your application to Expedock, you acknowledge and consent to the collection, use, and processing of your personal information for recruitment and hiring purposes. Your information will be used to: Evaluate your qualifications and suitability for current and future roles Communicate with you throughout the recruitment process Improve our hiring processes and overall candidate experience Maintain talent pools for future opportunities, where permitted by law We handle candidate data with care and in accordance with applicable data protection and privacy regulations. Your information will only be accessed by authorized team members and will not be shared with third parties without your consent, unless required by law. Read Full Description Skills Required Strong attention to detail and ability to identify relevant information in video content Good comprehension and ability to follow detailed instructions Strong observational and analytical skills Basic computer skills and ability to work with online tools and platforms Ability to work independently and manage repetitive, detail-focused tasks Reliable primary internet connection with a target speed of at least 50 Mbps Reliable backup internet connection; at least 50 Mbps preferred Good written English comprehension Own laptop or desktop computer Computer with at least 8 GB RAM and 10 GB available storage Windows 10 or supported macOS version compatible with annotation tools Device capable of smoothly playing assigned video files and running annotation tools View all jobs at Expedock View Expedock Profile Report Job