
Robotics Task Annotation Specialist
1 day ago
Job Opportunity:
We are seeking a detail-oriented and organized 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 role is ideal for individuals who possess strong attention to detail, excellent written communication skills, and the ability to follow structured guidelines.
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.
Key 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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