Team Lead, Human Data Operations - Vision, Image & Video

xAI is building advanced AI systems designed to understand and interpret the complexities of the universe while supporting human discovery and knowledge advancement. The company operates with a lean, motivated team that values technical rigor and maintains a flat organizational structure where all members contribute directly to core missions. This role offers the chance to join a growing organization that prioritizes hands-on work and rewards those who demonstrate initiative and consistently deliver high-quality results.

About xAI

xAI represents a frontier effort in artificial intelligence development, focused on creating systems with genuine comprehension of complex domains. The company's approach emphasizes the intersection of cutting-edge AI research and practical implementation, attracting top talent who want to work on problems that matter. With a distributed workforce spanning multiple continents and time zones, xAI supports remote arrangements while maintaining strong operational and cultural coherence across teams.

What you'll do

• Oversee complete quality and delivery for your assigned Human Data projects, personally reviewing work to verify accuracy, consistency, adherence to guidelines, and scalable production of high-quality training data.

• Lead a team of AI Tutors through hiring, coaching, performance management, and ongoing development, including conducting reviews, creating improvement plans, and facilitating training sessions.

• Actively participate in labeling and review work yourself to model best practices and maintain quality standards across your team.

• Identify operational constraints and implement process improvements that increase efficiency, using KPI dashboards to track quality metrics, throughput, and send-back rates.

• Develop and maintain training materials, practice tasks, and certification benchmarks; manage team certifications and workforce planning.

• Work with Human Data Managers, peer Team Leads, and engineering partners to translate model requirements into clear labeling strategies and operational workflows.

• Document project outcomes, surface process recommendations, and communicate status updates, risks, and results to stakeholders.

What you'll bring

• At least one year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality assurance, or comparable operational roles.

• Bachelor's degree or four years of professional experience in a related field.

• Demonstrated expertise with data quality metrics, annotation workflows, and guideline-driven processes.

• Proficiency with project management platforms such as Notion, Axiom, JIRA, or Linear.

• Understanding of AI and machine learning fundamentals and how training data quality affects model performance.

• Proven quality assurance background in creative or media-focused projects.

• Strong communication skills, both written and verbal, with ability to build alignment across teams and develop rapport quickly.

Nice to have

• Professional background in photography, graphic design, filmmaking, video editing, or visual effects.

• Prior experience leading small teams in data operations or annotation environments.

• Hands-on experience with AI image and video generation tools.

• Familiarity with SQL and data analysis tools for driving improvements through metrics.

• Track record managing geographically distributed teams.

What they offer

• Base salary for US candidates ranges from 104,000 to 156,000 USD based on experience, skills, education, location, and qualifications; international compensation determined during recruitment.

• Comprehensive benefits including health, vision, and dental coverage; 401(k) retirement plan; short and long-term disability insurance; and life insurance.

• Equity participation in the company.

• Various additional discounts and workplace perks.