Human Data - Engineer

Human Data work with real impact, backed by strong coverage

SpaceXSI is seeking a Human Data Engineer to help engineering teams get the right high-quality human data through end-to-end Human Data projects and evaluations. This role focuses on improving training signal quality, increasing data yield and eval lift, and maintaining rigorous data integrity and truthfulness. You will partner closely with model and engineering teams while building the measurement and tooling needed to continuously raise quality.

Location: Palo Alto, CA (onsite)

Compensation: USD 144,000 - 220,000 per year

What you’ll do

• 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.
• Build tools and systems to measure data effectiveness, including data yield, eval lift, and usage; run evaluations yourself to continuously improve quality.
• Maintain rigorous data integrity and truthfulness with validation processes for factual accuracy, prioritizing 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.
• Serve 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, contribute to demand forecasting, and report status, insights, and blockers for quick decisions.

Requirements

• 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 across areas such as engineering, research, product, or annotation/operations groups.
• Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems.

Tools you’ll use

• Python
• SQL

Coverage and benefits

• Equity
• Comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Various other discounts and perks

Additional details

• Weekend work may be required.
• Travel to other SpaceXSI sites may be required.