# Human Data Engineer

**Company:** [xAI](https://hotfix.jobs/companies/xai)
**Location:** Palo Alto, CA
**Role:** Data Engineering
**Salary:** $144k – $270k/yr
**Experience:** 4+ years
**Skills:** Python, SQL, Machine Learning, LLMs, Data Evaluation, Dataset Curation, Data Analysis, Data Annotation, Multimodal Data, Data Integrity
**Posted:** 2026-08-05

> Builds and delivers human-data projects, evaluation strategies, and tooling that improve AI model training signals and quality. The role requires cross-functional engineering collaboration, dataset analysis, and experience with Python, SQL, annotation workflows, or machine-learning evaluation.

## Job Description

## 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 evaluation projects that capture meaningful training signals and support rapid model development.
- Build tools and systems to measure data effectiveness, including data yield, evaluation lift, and usage; run evaluations 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 multimodal integration.
- Shape model 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 Human Data teams to drive alignment and knowledge sharing.
- Collaborate with Human Data Operations and stakeholders to scale projects, share learnings, contribute to demand forecasting, and report status, insights, and blockers.

## Requirements

- 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, including engineering, research, product, or annotation and operations groups.
- Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems.

### Preferred Qualifications

- 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, including text, images, code, or other modalities, or with domain-specific data.
- Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals.
- Experience with a scripting language such as Python.
- Experience with SQL or other data analysis tools.

## Additional Requirements

- Weekend work may be required.
- Travel to other company sites may be required.

## Compensation and Benefits

- Base salary: **$144,000–$270,000 USD**.
- Equity, comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan.
- Short- and long-term disability insurance.
- Life insurance, discounts, and other perks.

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