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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Video Data Annotation Team Lead - **Company:** Obvio Inc - **Location:** Salt Lake City, UT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/video-data-annotation-team-lead-obvio-9747790 ## About the Role * 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 * You don't wait for someone else to notice a problem. 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 who is energized by helping make them better ## Description As we open our new Salt Lake City office and grow our annotation team, we are looking for a Video Data Annotation Team Lead to help build and manage our newest team. This person will be deeply integrated into the day to day functions of the annotation team to understand exactly what the team is seeing, but experienced enough to coach others, identify problems, and keep the team operating at a high standard. This is a player-coach role. You will still spend time reviewing video and working directly in our annotation workflows, but your bigger responsibility is making sure the people around you are successful. That means answering questions, reviewing difficult cases, catching quality issues before they become patterns, helping new hires ramp quickly, and making sure the team understands how to apply guidelines consistently. What You'll Do This role has two components: supporting the annotation team day-to-day while remaining hands-on in the work yourself. Team Leadership and Quality * 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 Video Review and Annotation * 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 ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [What Happens to Leadership When AI Becomes a Teammate?](https://www.wearedevelopers.com/videos/1818-what-happens-to-leadership-when-ai-becomes-a-teammate) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)