Human Data Manager

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

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 model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy.

RESPONSIBILITIES:

• 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 evaluation projects that capture meaningful training signals and support rapid model development.
• Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).
• Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
• Research and apply techniques for data collection, annotation, generation, and multi-modal integration.
• Shape Grok’s behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.
• Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.
• 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.
• BASIC QUALIFICATIONS: Bachelor’s degree, or 4+ years of relevant experience in lieu of a degree
• Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
• Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
• PREFERRED SKILLS AND EXPERIENCE: Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor’s or higher)
• 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 workflows or data processes 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 with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
• Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement
• Experience with SQL or other data analysis tools
• ADDITIONAL REQUIREMENTS: Weekend work may be required.
• Travel to other SpaceXSI sites may be required.