Human Data Engineer

Details

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 will work at the intersection of engineering and data operations by partnering with model teams, designing projects that capture meaningful signals, and driving data yield and evaluation 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 evaluation projects that capture meaningful training signals and support rapid model development.
• Build tools and systems to measure data effectiveness, including data yield, evaluation lift, and usage, and run evaluations 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 multimodal 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 or Human Data teams to drive alignment and knowledge sharing.
• Collaborate with Human Data Operations and stakeholders to scale projects, share learnings, and contribute to demand forecasting.
• Report status, insights, and blockers to support rapid decisions.

Requirements

Basic 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, including engineering, research, product, or annotation and operations groups.
• Demonstrated 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, including text, images, and code, or domain-specific data such as science, mathematics, programming, and recent events.
• Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals.
• Experience with a scripting language such as Python.
• Experience with SQL or other data analysis tools.

Additional Requirements

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

Compensation and Benefits

• Base salary: $144,000–$270,000 USD per year.
• 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.

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