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Human Data - Engineer

xAI· Human Data
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Palo Alto, CA$144k - $220kfull-timePosted 2mo ago

About the role

Role focused on delivering high-value human data projects to support training and evaluation of Grok models and related AI systems. Works at the intersection of engineering and data operations, partnering with model teams to design data generation, annotation, and evaluation workflows that improve data yield and eval lift while maintaining data integrity.

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.

Qualifications

  • 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

Skills

Required:Data project managementData quality & integrityData collection, annotation, and generationEvaluation design and executionCross-functional collaboration

Benefits

  • equity
  • comprehensive medical, vision, and dental coverage
  • access to a 401(k) retirement plan
  • short & long-term disability insurance
  • life insurance
  • various other discounts and perks
Last updated Oct 14, 2026. Interested? Apply on the company site.

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