Position Overview:We are looking for detail-oriented individuals to participate in video annotation and evaluation projects.
Video Caption Auditor Expert
Job description
We're looking for detail-oriented annotators to join a short-term, fast-moving project reviewing captions on egocentric (first-person) video — footage recorded from a head-mounted camera showing someone's hands performing everyday tasks like cooking, cleaning or crafting. You'll audit whether a written caption accurately describes what happens in a short video segment, and give each caption a clear verdict. The project is already underway, so we're prioritising people who can start quickly.
What You'll Do
For each video segment and its caption, you'll decide:
Approve — the caption accurately describes the action
Reject — the caption has an error, rated Major or Minor, with the reason(s), for example:
Wrong main verb (e.g. "wring" when the person is rubbing)
A main action that is added, missing or out of order
Wrong object or tool, or the wrong / swapped hand (left vs. right)
Exclude — the footage itself is unusable (corrupted, badly mounted camera, broken segment boundaries)
You'll follow a detailed written guideline with clear rules and examples, and judge only what is visible in each segment.
Who We're Looking For
Excellent attention to detail and patience for careful, repetitive visual review
Reliable left/right reasoning from the camera wearer's point of view
Strong English reading comprehension and a precise sense of word meaning (e.g. the difference between "wipe", "rub" and "scrub")
Ability to learn a detailed guideline quickly and apply it consistently
Good judgment on ambiguous cases
Nice to have: prior experience in video annotation, data labelling, content moderation, QA, or AI training/evaluation work.
Why Join Us?
Contribute to Cutting-Edge AI Development: Play a direct role in improving how advanced AI models understand and interpret real-world human actions through first-person video.
Flexible, Remote Work: Work from anywhere while contributing to a structured, high-impact AI annotation project.
Clear Guidelines and Expectations: Benefit from detailed instructions, practical examples, and well-defined evaluation criteria to help you deliver high-quality work.
Apply Your Attention to Detail: Put your observational skills, language comprehension, and critical thinking to work on meaningful AI evaluation tasks.
Opportunity for Future Projects: Strong performance may open doors to additional AI training, annotation, and evaluation opportunities.
Quick Onboarding: Join an active project with an accelerated onboarding process, allowing qualified candidates to begin contributing promptly.
Opens work.mercor.com in a new tab. If they ask how you found the role, mention RemoWork.