Back to Jobs

Data Annotation - (Robotics)

Remote, USA Full-time Posted 2025-11-03
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. Apply tot his job Apply To this Job

Similar Jobs