Expert Team Lead, Engineering

• 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.
• Candidates must be based in one of the following countries where SpaceXAI has a physical office; remote work is also possible

- United States

- Dubai

• - Ireland
• - United Kingdom
• - Ireland
• - Japan
• - India
• - Indonesia
• - South Korea
• - Philippines
• - Singapore
• Advanced degree (MS or PhD) in an engineering discipline, or professional licensure (PE, or FE/EIT).
• Demonstrated experience with data quality metrics, annotation processes, and guideline-driven workflows (as evidenced by prior roles or projects).
• Breadth across multiple engineering disciplines, with the ability to credibly review work outside your primary specialty.
• Experience with performance management, coaching, training program development, and certification frameworks.
• 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains.
• Professional experience building scalable, high-performance technology applications.
• 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.
• Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement.
• Experience managing mixed employment types (full-time employees and contractors) or distributed teams.
• Excellent verbal and written communication skills with the ability to build rapport quickly and align stakeholders.
• Strong organizational skills, high attention to detail, proactive problem-solving mindset, and focus on continuous improvement.
• Strategic thinking combined with strong hands-on execution.
• Specialty or strong domain expertise in at least one of the following areas: Finance, STEM, Coding/Software Engineering, or other technical fields.
• Passion for building high-performing teams and scaling high-quality Human Data operations.