Human Data Engineer

HUMAN DATA ENGINEER

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 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)

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 SpaceXSI sites may be required

COMPENSATION AND BENEFITS:

$144,000 - $220,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.