Robotics Data Annotator

HireArt is helping our client find Robotics Data Annotator to join its team at an early and exciting stage of the company's growth. In this role, you'll work closely with engineering, product, and research. Your annotations will directly train and improve the company's robotic systems, and your feedback will shape annotation guidelines, data quality standards, and operational workflows. We welcome candidates from diverse professional backgrounds, including (but not limited to) robotics, computer vision, video annotation, linguistics, STEM fields, quality assurance, research, and military experience. We're looking for reliable, hard-working individuals with a passion for building and improving real-world robotics technology. You're comfortable working in detail-oriented, deadline-driven environments, have strong spatial reasoning, and can clearly communicate observations about robot behavior and data quality. You're excited to contribute directly to the advancement of robotics. As a Robotics Data Annotator, you will: Review robot demonstration and teleoperation videos to identify and segment temporal boundaries of discrete tasks, subtasks, and manipulation events. Write clear, precise natural language descriptions of robot actions, behaviors, and task stages within each temporal segment. Annotate perceptual data including drawing bounding boxes around objects, labeling object classes, and tracking objects across video frames. Follow and interpret detailed annotation guidelines to ensure consistent, high-quality labels across large datasets. Identify edge cases, ambiguities, and failure modes in robot behavior and escalate them to engineering and development teams with clear, actionable feedback. Perform quality assurance checks on your own and peers' annotations to maintain data integrity. Execute annotation projects across multiple robot platforms, environments, and task types as assigned. Participate in projects to improve annotation tools, guidelines, workflows, or operational processes. Ability to perform focused, repetitive annotation tasks for extended periods with sustained attention to detail. Strong spatial reasoning and ability to interpret robot movement, object interactions, and manipulation sequences from video. Excellent written communication skills — you can describe physical actions and spatial relationships in clear, concise language. Proficiency using Windows, macOS, and/or Linux operating systems and office productivity tools. Authorization to work in the United States (U.S. citizenship required for this role due to business or legal requirements). Ability to type at least 40 words per minute. Flexibility to work varying schedules is required and may include different shifts, extended hours, evenings, weekends, or holidays based on operational needs.

Preferred Qualifications:

Prior experience annotating robotics, autonomous vehicle, or computer vision data—particularly temporal segmentation, action labeling, bounding boxes, or object tracking. Candidates with this background are strongly preferred. Background in robotics, mechanical engineering, or a related field that provides intuition for how robots move and interact with objects. Experience with video annotation workflows (frame-level or clip-level labeling, keyframe interpolation, multi-object tracking). Familiarity with command-line interfaces, GitHub, or version-controlled environments

Benefits:

Pre-tax commuter benefits Employer (HireArt) subsidized Healthcare Benefits Flexible Spending Account for healthcare-related costs HireArt covers all costs for short- and long-term disability and life insurance 401k package

Commitment:

This is a full-time, 6-month contract position staffed via HireArt, with the possibility to extend. This position will be onsite and available to candidates who are local to the Bay Area, CA. HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.