
Robotic Task Annotation Specialist
1 week ago
Job Summary:
We are seeking a detail-oriented professional to support the training and evaluation of Large Language Models (LLMs) for robotics and embodied AI systems.
The role involves watching short videos of robots performing tasks and creating detailed, structured annotations that map robotic actions to human-readable descriptions.
Your work will have a direct impact on the development of cutting-edge technology.
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
- Strong attention to detail & ability to follow structured guidelines.
- Clear written English communication.
- Comfortable with repetitive, accuracy-focused work.
- Ability to judge task outcomes (success/partial/failure).
- Experience in data annotation, transcription, or QA is a plus.
Engagement Details:
- Contract Type: Contractor
- Duration: 2 months (extendable).
- Location: Remote.
- Evaluation: 30-min test task 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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