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# Human Data Manager

- **Company:** Space X
- **Location:** Palo Alto, CA, United States
- **Salary:** $100,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Integrity, Python (Programming Language), DataOps, SQL Databases, Large Language Models, Agentic-AI, Data Strategy, Information Technology, Low-code, Data Management, Machine Learning Operations
- **Published:** October 13, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3442650206&tx=JT10193UTI&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, or 4+ years of relevant 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:

 * Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor's or higher)
 * 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 workflows or data processes 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 with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
 * Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement
 * Experience with 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 model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply 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 evaluation projects that capture meaningful training signals and support rapid model development.
 * Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).
 * Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
 * Research and apply techniques for data collection, annotation, generation, and multi-modal integration.
 * Shape Grok's behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.
 * Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.
 * 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.