Data Annotation - (Robotics)

Required Skills

Job Description

Job Title: Data Annotation - (Robotics)


Job Type: Contract, Part-time or Full-time


Location: Remote


Job Summary:

Join the customer’s team as a Data Annotation Specialist and immerse yourself in the forefront of robotics innovation. Play a pivotal role in shaping the future of robotics by meticulously annotating robotic arm actions and enriching advanced data pipelines—all from the comfort of your remote workspace.


Key Responsibilities:

  • Analyze video footage of advanced robotics systems and create detailed, timestamped annotations from the robot's first-person perspective.
  • Document the robot’s internal reasoning, clearly and precisely describing both actions and environmental observations.
  • Collaborate with the customer’s team to ensure annotation accuracy and adherence to project protocols.
  • Contribute to the development of a ‘text → 3D model → action’ pipeline that powers AI-driven robotics behaviors.
  • Maintain meticulous attention to detail, capturing nuanced robotic movements and context.
  • Offer constructive feedback on annotation tools and workflows to boost efficiency and output quality.
  • Work independently, managing your time effectively to meet project deliverables and stringent quality standards.


Required Skills and Qualifications:

  • Native-level English proficiency with exceptional written and verbal communication skills.
  • Keen attention to detail, ensuring comprehensive capture of robotic behaviors and environments.
  • Ability to write with clarity and accuracy from the robot's perspective.
  • Proficiency with video review and digital annotation platforms.
  • Self-motivated and reliable, thriving in a remote work environment with minimal supervision.
  • Strong organizational skills and time management for optimal workflow execution.
  • General experience in data annotation; robotics expertise is not a prerequisite.


Preferred Qualifications:

  • Familiarity with 3D modeling concepts and annotation tools.
  • Prior experience with timestamped video annotation or labeling projects.
  • Background in STEM, or exposure to robotics, AI, or machine learning fields.

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