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Human Data - Engineer
Python
Artificial Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Management
Data Platform
Data Processing
Data Quality
Data Security
Database
Databases
Engineer
Information Technology (IT)
Model & Prompt Evaluation
Programming
Programming Language
Programming Languages
SQL
Job Description
Own Human Data projects and evaluations to help engineering teams access high-quality training signals and maintain strong data integrity.
Responsibilities
- Partner with model and engineering teams to translate needs into high-value data projects and evaluation strategies
- Deliver end-to-end critical data and evaluation work that captures meaningful training signals and supports rapid model development
- Build tools and systems to measure data effectiveness using data yield, eval lift, and usage
- Run evaluations directly to continuously improve quality
- Maintain rigorous data integrity and truthfulness, including validation processes focused on factual accuracy
- Prioritize quality over quantity in data collection and annotation efforts
- Research, implement, and evaluate approaches for data collection, annotation, generation, and multi-modal integration
- Support targeted data work to shape Grok’s behavior and domain performance
- Design and improve annotation workflows, labeling interfaces, and related tooling with emphasis on quality and integrity
- Serve 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 project status, insights, and blockers to enable rapid decision-making
Requirements
- Bachelor’s degree in engineering, computer science, or 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
Technologies
- Python
- SQL
Location
- Palo Alto, CA (onsite)
Compensation
- USD 144,000 - 220,000 per year
Benefits
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
Additional Requirements
- Weekend work may be required
- Travel to other SpaceXSI sites may be required