Video Data Annotation Team Lead

Obvio • Salt Lake City, UT

2d • Onsite

About The Position

Obvio AI is dedicated to preventing traffic fatalities through the use of solar-powered, AI-assisted cameras that enforce traffic laws in vulnerable areas. Our innovative approach has already demonstrated a significant reduction in reckless driving in partner cities. As we expand our operations with a new office in Salt Lake City, we are seeking a Video Data Annotation Team Lead to build and manage our annotation team. This role requires a hands-on approach, deeply understanding the daily tasks of the annotation team to effectively coach, identify issues, and maintain high standards. It's a player-coach position where you will actively participate in video review and annotation while also leading and supporting your team.

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 other people 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 in identifying and fixing problems that slow the team down or create errors

Nice To Haves

• Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety
• Startup experience

Responsibilities

• Serve as the day-to-day point person for a team of Video Data Annotators in our Salt Lake City office and work collaboratively with our California office
• Help 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 make sure reviewers are applying 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 are could be struggling 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 what you and the team experience day-to-day
• Partner with leadership to test and implement process improvements as the organization scales

Benefits

• Competitive compensation
• Early-stage equity
• Meaningful ownership in a fast-moving startup environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed