Expert Team Lead, Engineering

Details

SpaceXAI is seeking an Expert Team Lead, Engineering to lead AI Tutors responsible for delivering high-quality training data and evaluations that power the company's AI models. This is a hands-on leadership role involving labeling and review work, quality assurance, team management, and continuous process improvement.

Responsibilities

• Own end-to-end quality and delivery for assigned Human Data projects, including personally reviewing work and ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale.
• Lead, coach, and performance-manage a team of AI Tutors, including conducting performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement.
• Oversee and actively participate in labeling and reviewing tasks.
• Ensure strict guideline adherence, taxonomy management, and quality assurance processes.
• Identify and resolve operational bottlenecks, implement process improvements, and track performance using KPI dashboards, including quality metrics, throughput, and send-back rates.
• Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments.
• Collaborate with Human Data Managers, other Team Leads, and Engineering to translate model needs into labeling strategies and requirements.
• Coach and develop talent while maintaining accountability and a high-performance culture; support disciplinary actions as needed.
• Document outcomes, suggest process iterations, and report project status, risks, and results.
• Represent the needs of AI Tutors while fostering collaboration across the Human Data organization.

Requirements

• Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field.
• At least 2 years of professional engineering experience in design, analysis, testing, research and development, or systems integration, or a master's degree or higher in an engineering or engineering-related field.
• Basic understanding of artificial intelligence and machine learning concepts and how high-quality training data impacts model performance.
• Advanced degree in an engineering discipline or professional licensure such as PE or FE/EIT is preferred.
• Experience with data quality metrics, annotation processes, and guideline-driven workflows.
• Breadth across multiple engineering disciplines and the ability to review work outside a primary specialty.
• Experience with performance management, coaching, training program development, and certification frameworks.
• At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or similar operational domains.
• Professional experience building scalable, high-performance technology applications.
• Experience leading small teams in data labeling, annotation, or related operations.
• Ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment.
• Experience reviewing domain work, ensuring data quality, and improving operational processes.
• Proficiency in data analysis and associated tools; SQL is a plus.
• Experience managing mixed employment types or distributed teams.
• Excellent verbal and written communication skills.
• Strong organizational skills, attention to detail, proactive problem-solving abilities, and a focus on continuous improvement.
• Strategic thinking combined with strong hands-on execution.
• Specialty or strong domain expertise in Finance, STEM, Coding/Software Engineering, or another technical field.
• Passion for building high-performing teams and scaling high-quality Human Data operations.

Location Requirements

Candidates must be based in one of the countries where SpaceXAI has a physical office. Remote work is also possible. Listed countries include the United States, Dubai, Ireland, the United Kingdom, Japan, India, Indonesia, South Korea, the Philippines, and Singapore.

Compensation And Benefits

US-based candidates: $104,000–$170,400 USD, depending on relevant experience, skills, education, geographic location, and qualifications. Compensation information for international candidates will be provided during the recruitment process.

The total rewards package includes equity, medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks. Benefits vary by employment type, location, and jurisdiction. Eligible US-based positions include health insurance, a 401(k) plan, and paid sick leave.