Video Caption Auditor Expert

About this role

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.

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Miscellaneous