Human Data Engineer

• You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects
• You sit at the intersection of engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift
• Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies
• Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development
• Build tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality
• Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity
• Research, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration
• Shape Grok’s behavior and domain performance through targeted data work
• Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity
• Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing
• Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions

Benefits

• Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
• Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
• Flexible vacation: We work hard but avoid burn out. Take time off when you need it
• Visa sponsorship: We support international talent with visa sponsorship to join our team
• 401(k) plan: Retirement savings plan to secure your financial future

• This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy
• Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
• Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
• Bachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree
• Travel to other SpaceXAI sites may be required
• Weekend work may be required
• Master’s degree or higher in a relevant technical field
• Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
• Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity
• Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
• Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
• Experience in a scripting language like Python
• Experience in SQL or other data analysis tools