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.
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.
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 (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
ADDITIONAL REQUIREMENTS:- Weekend work may be required.
- Travel to other SpaceXAI sites may be required.
COMPENSATION AND BENEFITS:$144,000 - $270,000 USD
Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
