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.
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. This is a hands-on technical role for engineers who deeply understand training and evaluation 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 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.
- Bachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of 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
- 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
- Weekend work may be required.
- Travel to other SpaceXSI sites may be required.
$144,000 - $220,000 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.
Skills Required
- Bachelor's degree in engineering, computer science, or related STEM discipline, or 4+ years of experience in lieu of a degree
- Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations)
- Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
- Weekend work may be required
- Travel to other SpaceXAI sites 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)
- 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
xAI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about xAI and has not been reviewed or approved by xAI.
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Healthcare Strength — Healthcare is described as comprehensive, including medical, dental, vision, mental health support, and fertility benefits. Additional protections such as disability and life insurance, plus HSA/FSA options, are also outlined.
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Equity Value & Accessibility — Equity is positioned as a core component of total rewards alongside high base salaries for technical roles. Pre‑IPO stock grants are highlighted as enabling participation in potential company growth.
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Leave & Time Off Breadth — The package includes flexible or generous PTO, paid holidays, and paid sick days. Company materials also describe flexible vacation policies intended to help manage fast‑paced workloads.
xAI Insights
What We Do
Understand the Universe
