AI Data Engineer: Quality & Evaluation Lead

SpaceXAI; Palo Alto (CA); On-site; USD 144,000 - 270,000; Full time

Job summary

SpaceXAI seeks an engineer to craft high-value data tasks and evaluations that power training and model development. You will operate at the intersection of engineering and data operations, partnering with model teams to design projects that capture meaningful signals and improve data quality.

You will own end-to-end delivery of data and evaluation projects, build tooling to measure data yield and eval lift, and collaborate with cross-functional teams to scale efforts across SpaceXAI sites.

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.

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.

Skills

Python

SQL

Data analysis

Cross-functional collaboration

Model evaluation

Education

Bachelor’s degree in Engineering/CS or STEM

Master’s degree in a relevant field

Tools

Annotation tools

Labeling interfaces

Data workflows

Multimodal data

Job description

SpaceXAI seeks an engineer to craft high-value data tasks and evaluations that power training and model development. You will operate at the intersection of engineering and data operations, partnering with model teams to design projects that capture meaningful signals and improve data quality.

You will own end-to-end delivery of data and evaluation projects, build tooling to measure data yield and eval lift, and collaborate with cross-functional teams to scale efforts across SpaceXAI sites.