
Robotic Task Annotation Specialist
1 week ago
Job Opportunity
">We are seeking a detail-oriented individual to support the development of Large Language Models (LLMs) for robotics and embodied AI systems.
">The successful candidate will be responsible for watching short videos of robots performing tasks and creating detailed, structured annotations that map robotic actions to human-readable descriptions.
">This is a remote contract position with a duration of 2 months (extendable).
">Responsibilities:
">- ">
- Watch and analyze robotic task videos.">
- Summarize the main objective, smaller steps, and outcome (success/partial/failure).">
- Provide timestamped, detailed annotations of robot movements.">
- Follow strict annotation guidelines for consistency.">
- Review/refine work based on feedback.">
Requirements:
">To succeed in this role, you should have strong attention to detail, ability to follow structured guidelines, clear written English communication, comfort with repetitive, accuracy-focused work, and ability to judge task outcomes (success/partial/failure).
">Experience in data annotation, transcription, or QA is a plus.
">Evaluation Details:
">A 30-min test task will be provided before selection.
">What Success Looks Like:
">High-quality, consistent annotations capturing both intent and execution quality of robot tasks. Contribution to a gold-standard dataset for LLMs.
"]},-
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