Video Annotation for Robotics

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.