Human Data - Engineer

SpaceXSI; Palo Alto (CA); Vor Ort; USD 144.000 - 220.000; Vollzeit

Benefits dieser Stelle

Equity

Comprehensive medical, vision, andd e

Access to a 401(k) retirement plan

Short & long-term disability insurance

Life insurance

Various other discounts and perks

Zusammenfassung

SpaceXSI is seeking a data-focused professional to own and advance Human Data projects, ensuring high-quality training signals and data integrity. You’ll partner with model and engineering teams to translate needs into valuable data initiatives and evaluation strategies, delivering end-to-end work that accelerates model development.

Responsibilities include building data-measurement tools, running evaluations, maintaining data integrity, and collaborating across engineering, research, product,

Qualifikationen

• 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).
• Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Ausbildung

Bachelor’s degree in engineering, computer science, or related STEM discipline

4+ years of experience in lieu of a degree

Jobbeschreibung

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