
Video Annotation for Robotics
3 days ago
Job Summary:
Jupiter AI Labs is hiring immediate joiners with 3+ years of experience for a 2-month remote contract to support a leading foundational LLM company.
Role Overview:
You will watch short videos of robots performing tasks and create detailed, structured annotations that map robotic actions to human-readable descriptions. Your work will directly support training and evaluation of Large Language Models (LLMs) for robotics and embodied AI systems.
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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