Human Data Engineer at xAI

On-site - Palo Alto, California, United States

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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. As a Human Data Engineer, you will ensure engineering teams have the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You will work 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 hands‑on technical role is for engineers who deeply understand training and evaluation and want to influence data strategy.

Salary

USD 144,000 - 270,000

Requirements

Skills

  • 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 SpaceXAI sites may be required

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

Technologies

PythonSQLAnnotation toolsLabeling interfaces

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