
Robotics Task Annotation Specialist
7 days ago
Description:
We are seeking a detail-oriented individual to support the development of Large Language Models (LLMs) for robotics and embodied AI systems. This role involves watching short videos of robots performing tasks and creating detailed, structured annotations that map robotic actions to human-readable descriptions.
Main 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.
Benefits:
- This contract will be remote-based, allowing you to work from anywhere.
- The duration of the contract is 2 months (extendable), providing an opportunity to make a meaningful contribution to a gold-standard dataset.
- You will have the chance to evaluate your skills and expertise in a real-world setting.
About the Project:
This project aims to create high-quality, consistent annotations that capture both intent and execution quality of robot tasks. Your contributions will directly support training and evaluation of LLMs for robotics and embodied AI systems.
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