Data Annotation - (Robotics)
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 Now
Apply Now
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 Now
Apply Now