Operations Engineer, SpaceXAI

• This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy
• 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
• Weekend work may be required
• Travel to other SpaceXAI sites may be required

Desirable

• 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
• 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