
Annotation Specialist for Robotics Tasks
3 days ago
The primary responsibility of this role is to analyze short videos of robots performing tasks and create detailed, structured annotations that map robotic actions to human-readable descriptions.
This work will directly support the training and evaluation of Large Language Models (LLMs) for robotics and embodied AI systems.
- 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.
To be successful in this role, you should have strong attention to detail & ability to follow structured guidelines. Clear written English communication is also essential. You should be comfortable with repetitive, accuracy-focused work and able to judge task outcomes (success/partial/failure).
A background in data annotation, transcription, or QA is a plus. Engagement Details:
Contact 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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