Human Data Engineer

SpaceXAI•Palo Alto, CA

5d•$144,000 - $270,000

About The Position

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: 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.

Requirements

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

Nice To Haves

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

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.