Skip to content
OpenAIOpenAISan Francisco, CA

Software Engineer, Research - Human Data

Build full-stack systems, tools, and infrastructure for human feedback collection, AI model alignment, and evaluation. Collaborate with researchers to scale production systems and enhance model safety in a fast-paced environment.

131k – 385k
HybridData Engineering

About the role

In this role, you will:

  • Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.
  • Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.
  • Design and iterate on user-facing tools and backend services to support high-quality data workflows.
  • Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms.
  • Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.

You might thrive in this role if you:

  • Have strong software engineering fundamentals and experience building production systems at scale.
  • Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces.
  • Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems.
  • Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values.
  • Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness.

Skills

Full-Stack DevelopmentBackend PipelinesUser InterfacesData PipelinesModel TrainingInferenceKubernetesPythonReactPostgres

Similar roles

Data Engineering jobs
OnePay

Data Analytics

OnePayUnited States

Senior Analytics Engineer owning OnePay's dbt models, Databricks BI, data quality, and semantic layers on a fast-moving fintech team. Requires 5+ years production analytics engineering, expert SQL/dbt, Databricks experience, and daily AI coding tool usage.

130k – 170k
Remote5+ YOEData Engineering
Mercor

Data Engineer

MercorSan Francisco, CA +1

Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.

130k – 500k
On-siteData Engineering
Stuut

Data Engineer

StuutSan Francisco, CA +1

Stuut is seeking a Data Engineer to build and own their data infrastructure from the ground up. This foundational role involves designing pipelines, data models, and implementing DataOps best practices to transform financial data into actionable insights.

135k – 190k
On-site3+ YOEData Engineering
Octus

Quantitative Developer

OctusUnited States

Quantitative Developer building and maintaining portfolio compliance and analytics features. Works cross-functionally to onboard clients, debug calculations, and implement new functionality. Requires strong Python/Java/C# skills and quantitative background.

135k – 150k
RemoteData Engineering
xAI

Software Engineer

xAIPalo Alto, CA

Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.

125k – 400k
On-site3+ YOEData Engineering