Human Data Manager

Details

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence. Employees are expected to be hands-on, communicate clearly, and contribute directly to the company’s mission.

You will ensure engineering teams receive the data they need by crafting and executing high-value human data projects. The role sits at the intersection of model teams and data operations, involving collaboration with engineering, project design, and measurement of data impact. This is a hands-on position for someone with a deep understanding of training and evaluation who wants 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 the 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, including data yield, evaluation lift, and usage.
• Maintain rigorous data integrity and truthfulness through validation processes for factual accuracy, prioritizing quality over quantity.
• Research and apply techniques for data collection, annotation, generation, and multimodal integration.
• Shape Grok’s behavior and domain performance through targeted data work.
• Improve annotation workflows using agents and no-code or low-code approaches where helpful.
• Manage plans that shape model behavior through data management, optimization, and analysis, including resources and timelines.
• 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, or 4+ years of relevant 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

• Bachelor’s degree or higher in engineering, computer science, data analysis, or a related STEM discipline.
• 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, including text, images, and code, or domain-specific data such as science, mathematics, programming, and recent events.
• Experience with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals.
• Comfort using AI agents, no-code or low-code tools, or light scripting such as Python to prototype workflows and measurement.
• Experience with SQL or other data analysis tools.
• Weekend work may be required.
• Travel to other SpaceXAI sites may be required.

Benefits

The compensation and benefits package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks.