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2 months ago

Human Data Engineer (AI)

12 000 - 22 500$
Work format
onsite
Work type
fulltime
Grade
middle
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Human Data Engineer (AI): Designing and delivering high-value human data projects, evaluation strategies, and annotation systems for AI model development with an accent on data quality, truthfulness, and measurable evaluation impact. Focus on building data-effectiveness tools, improving multimodal collection workflows, and shaping model behavior through rigorous training and evaluation data.

Location: Palo Alto, California, United States. Weekend work and travel to other sites may be required.

Salary: $144,000–$270,000 USD

Company

AI research and product organization developing systems designed to understand the universe and support human knowledge.

What you will do

  • Partner with model and engineering teams to translate technical needs into data projects and evaluation strategies.
  • Own end-to-end delivery of training-data and evaluation initiatives that capture meaningful signals for rapid model development.
  • Build measurement tools for data yield, evaluation lift, usage, and overall data effectiveness.
  • Research and evaluate data collection, annotation, generation, and multimodal integration techniques.
  • Design annotation workflows, labeling interfaces, and supporting tools focused on factual accuracy and data integrity.
  • Coordinate with engineering, technical staff, Human Data Operations, and tutoring teams to scale projects and share insights.

Requirements

  • Bachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of equivalent experience.
  • Experience collaborating across engineering, research, product, annotation, or operations teams.
  • Experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems.
  • Experience with Python or another scripting language.
  • Experience with SQL or other data-analysis tools.
  • Availability for possible weekend work and travel to other company sites.

Nice to have

  • Master’s degree or higher in a relevant technical field.
  • Experience curating, evaluating, or improving datasets for large language models or other AI/ML systems.
  • Experience optimizing annotation tools, labeling interfaces, or data workflows.
  • Familiarity with multimodal or domain-specific data, including science, mathematics, programming, or current events.
  • Experience evaluating model or dataset quality, truthfulness, or alignment with product goals.

Culture & Benefits

  • Small, highly motivated team focused on engineering excellence and curiosity.
  • Flat structure with hands-on contribution expected across the organization.
  • Equity as part of the total rewards package.
  • Medical, vision, and dental coverage.
  • 401(k), disability insurance, life insurance, discounts, and additional perks.

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