
Robotics Task Annotation Specialist
1 day ago
Job Opportunity:
We are seeking a highly skilled professional 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.
Key Responsibilities Include:
- 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.
Required Skills and Qualifications:
To be considered for this role, you should possess:
- 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.
Benefits:
This contract-based position offers:
- Remote work arrangement.
- 2-month duration with potential extension.
- Opportunity to contribute to a gold-standard dataset for LLMs.
What We Look For In A Candidate:
High-quality, consistent annotations.
Capturing both intent and execution quality of robot tasks.
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