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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing AI training data projects, ensuring quality and adherence to guidelines while leading and developing teams. Proficient in data labeling processes, performance management, and implementing operational improvements to enhance efficiency.
Highest-signal resume keywords
Data Labeling ExperiencePerformance ManagementAI Training/EvaluationData Quality MetricsTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnnotationQuality AssuranceProcess ImprovementKPI TrackingTraining Program DevelopmentCertification FrameworksAI ConceptsMachine Learning UnderstandingData AnalysisSQL
Soft Skills
CoachingCollaborationAccountabilityCommunicationContinuous Improvement
Industry Keywords
Human Data ProjectsOperational DomainsFinanceSTEMCodingSoftware Engineering
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead a team of AI Tutors responsible for delivering training data and evaluations for SpaceXAI models
- Own end-to-end quality and delivery for assigned Human Data projects
- Personally review domain work for accuracy, consistency, guideline adherence, and quality at scale
- Lead, coach, and performance-manage AI Tutors, including reviews, records, action plans, shadow sessions, and continuous improvement
- Oversee and participate in labeling and reviewing tasks
- Manage taxonomies and quality assurance processes
- Identify operational bottlenecks, implement process improvements, and track KPIs through dashboards
- Build, update, and deliver training materials, practice tasks, and certification benchmarks
- Manage certifications and workforce adjustments
- Collaborate with Human Data Managers, Team Leads, and Engineering on labeling strategies and requirements
- Coach and develop talent while supporting accountability, performance culture, and disciplinary actions
- Document outcomes and report project status, risks, and results
- Represent tutors and foster collaboration across the Human Data organization
Requirements
What you’ll need- 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
- Experience with data quality metrics, annotation processes, and guideline-driven workflows
- Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance
- Experience with performance management, coaching, training program development, and certification frameworks
- Candidates must be based in one of the listed countries where SpaceXAI has a physical office; remote work is also possible
- Preferred: experience leading small teams in data labeling, annotation, or related operations
- Preferred: proficiency in data analysis and associated tools; SQL is a plus
- Preferred: experience managing mixed employment types or distributed teams
- Preferred: specialty or strong domain expertise in Finance, STEM, Coding/Software Engineering, or other technical fields
Benefits
Comp & perks- Equity
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- Short- and long-term disability insurance
- Life insurance
- Various discounts and perks
- Health insurance for eligible U.S.-based positions
- Paid sick leave for eligible U.S.-based positions
