Software Engineer, AI Alignment Platforms

OpenAI; California (MO); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking software engineers to join the Human Data team and build platforms, prototypes, tools, and infrastructure that power model training, alignment, and evaluation. The role offers hybrid work with 3 days in the San Francisco office and relocation support for new hires.

You will own end-to-end delivery across backend pipelines and user-facing interfaces, partnering with researchers to shape data workflows and feedback loops for state-of-the-art AI systems.

Qualifications

• Experience building production systems at scale.
• End-to-end ownership from backend to UI.
• Experience collaborating with research teams.

Responsibilities

• 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 to production ChatGPT.

Skills

Software engineering fundamentals

Full-stack development

Collaboration with researchers

AI alignment experience

Data security

Job description

OpenAI is seeking software engineers to join the Human Data team and build platforms, prototypes, tools, and infrastructure that power model training, alignment, and evaluation. The role offers hybrid work with 3 days in the San Francisco office and relocation support for new hires.

You will own end-to-end delivery across backend pipelines and user-facing interfaces, partnering with researchers to shape data workflows and feedback loops for state-of-the-art AI systems.