XA
xAIHuman Data Engineer
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Before you apply
Salary$144k – $270k
LocationPalo Alto, CA, Palo Alto, CA
Work modeon-site
Typefull-time
SeniorityMid
Experience4+ yrs
DepartmentHuman Data
EquityIncluded
Company size1,001–5,000 people
PostedAug 5, 2026 · 3mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s degree in engineering, computer science, or a 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)
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
Skills
Python
SQL
Benefits
Health insurance
Vision insurance
Dental insurance
401(k)
Short term disability insurance
Long term disability insurance
Life insurance
About the company
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 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. 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
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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
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Shape Grok’s behavior and domain performance through targeted data work
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Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity
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Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing
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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 in engineering, computer science, or a 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)
•
Experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
•
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
ADDITIONAL REQUIREMENTS:
•
Weekend work may be required
•
Travel to other SpaceXSI sites may be required
COMPENSATION AND BENEFITS:
$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.
Legal
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.