Added 2 Nov 2026 · Engineering
Job description
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 help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including 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.
HUMAN DATA MANAGER
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)
Experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
Bachelor's degree or higher in engineering, computer science, data analysis, or a related STEM discipline
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
COMPENSATION AND BENEFITS:
$100,000 - $186,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Palo Alto, CA
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 4+ years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.