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# Human Data - Engineer

- **Company:** Space X
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Salary:** $144,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Integrity, Python (Programming Language), DataOps, SQL Databases, Scripting, Large Language Models, Data Strategy, Information Technology, Build Tools, Machine Learning Operations
- **Published:** October 13, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3442650261&tx=FP9188FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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

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

## Description

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., * 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.