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Salary: USD 104,000 - 156,000 / annual
xAI is seeking a Post-training Team Lead to lead a team of AI Tutors responsible for delivering high-quality training data and evaluations that power their AI models. This is a hands-on leadership role where you will both execute labeling and review work while continuously improving processes as the team scales.
You will own end-to-end quality and delivery for assigned Human Data projects, personally reviewing work in your domain to ensure accuracy, consistency, and guideline adherence. You will lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, creating action plans, managing shadow sessions, and driving continuous improvement. You will oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices.
Key responsibilities include ensuring strict guideline adherence and taxonomy management, driving efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards (quality metrics, throughput, send-back rates). You will build and deliver training materials, practice tasks, and certification benchmarks; manage certifications and workforce adjustments. You will collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies. You will coach and develop talent while maintaining strong accountability and a high-performance culture, and act as the voice of your tutors while fostering collaboration across the Human Data organization.
xAI operates with a flat organizational structure where all employees are expected to be hands-on and contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. The team is small, highly motivated, and focused on engineering excellence.
REQUIREMENTS:
- 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains
- Bachelor's degree, or 4+ years of professional experience in lieu of a degree
- Demonstrated experience with data quality metrics, annotation processes, and guideline-driven workflows
- Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent
- Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance
- Must be based in one of the following countries: United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, Philippines, or Singapore (remote work possible)
PREFERRED QUALIFICATIONS:
- Specialty or strong domain expertise in design, psychology, philosophy, writing, or another humanities discipline
- Previous experience leading small teams in data labeling, annotation, or related operations
- Proven ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment
- Strong track record of reviewing domain work, ensuring data quality, and improving operational processes
- Experience with performance management, coaching, training program development, and certification frameworks
- Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement
- Experience managing distributed teams
- Excellent verbal and written communication skills with the ability to build rapport quickly and align stakeholders
- Strong organizational skills and high attention to detail
- Proactive problem-solving mindset and focus on continuous improvement
- Strategic thinking combined with strong hands-on execution
- Passion for building high-performing teams and scaling high-quality Human Data operations
