Video Data Annotation Team Lead

At Obvio, we deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities. Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.

About the role

We are looking for a Video Data Annotation Team Lead to help build and manage our newest annotation team in Salt Lake City. This is a player-coach role: you will review video and work directly in our annotation workflows while ensuring the people around you are successful. You’ll answer questions, review difficult cases, catch quality issues, help new hires ramp quickly, and make sure the team applies guidelines consistently.

Responsibilities

• Serve as the day-to-day point person for a team of Video Data Annotators in our Salt Lake City office and collaborate with our California office
• Onboard and train new annotators, ensuring they understand our tools, workflows, quality standards, and escalation processes
• Coach team members on accuracy, productivity, and consistency, giving clear and actionable feedback when performance needs to improve
• Review difficult or ambiguous traffic events and help annotators determine the correct outcome
• Conduct quality checks and identify recurring mistakes, inconsistencies, or areas where the team needs additional training
• Run or participate in calibration sessions to ensure reviewers apply guidelines consistently
• Monitor team workload and queues, helping prioritize work and flagging capacity or performance issues before they become bottlenecks
• Escalate recurring edge cases, unclear guidelines, and operational issues
• Help maintain SOPs, training materials, and reviewer documentation as processes evolve
• Review and annotate video footage to identify traffic events and potential violations
• Accurately record and verify detailed information extracted from video content
• Stay close to the annotation work to understand where reviewers struggle and where workflows can improve
• Model the level of accuracy, judgment, and productivity expected from the broader team
• Provide feedback on annotation tooling and workflows based on day-to-day experience
• Partner with leadership to test and implement process improvements as the organization scales

Requirements

• 2–5 years of experience in data annotation, quality assurance, operations, trust & safety, content review, compliance operations, or another high-volume, detail-oriented environment
• Prior leadership experience, whether as a team lead, senior individual contributor, trainer, QA specialist, or informal mentor
• Exceptional attention to detail; you notice small inconsistencies that others miss
• Comfortable making judgment calls when a situation doesn’t fit neatly into an existing rule
• Able to give direct, constructive feedback without making the relationship adversarial
• Comfortable holding teammates accountable to quality and productivity expectations
• Strong written and verbal communication skills
• Quick to learn new tools and comfortable working in technology-driven workflows
• Proactive problem-solver: if something is slowing the team down or creating errors, you surface it and help fix it
• Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety is a plus
• Startup experience is a plus; processes here will evolve quickly, and we want someone energized by helping make them better

Benefits

• Your work will help save lives and improve road safety
• Series A of $22M led by Bain Capital
• Fast-moving startup environment with meaningful ownership
• Competitive compensation and early-stage equity