Expert Team Lead, Engineering en xAI

Remoto - Palo Alto, CA, United States

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills and should be able to concisely and accurately share knowledge with their teammates.

Salary

USD 104,000 - 170,400

Requirements

Skills

Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field
2+ Professional experience in engineering practice, such as design, analysis, testing, R&D, or systems integration OR a Master’s degree (or higher) in an engineering or engineering related field
Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance

Responsibilities

Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale
Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement
Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices
Ensure strict guideline adherence, taxonomy management, and quality assurance processes
Drive efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards (e.g., quality metrics, throughput, send-back rates)
Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments
Collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements
Coach and develop talent while maintaining strong accountability and a high-performance culture; support disciplinary actions as needed
Document outcomes, suggest process iterations, and report project status, risks, and results
Act as the voice of your tutors while fostering strong collaboration across the broader Human Data organization

Technologies

SQL

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