Agent Post-Training, API & Power Users

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 295,000 - 445,000 annuallyFunction: Education & TrainingSkills: ["Collaboration","Communication","Problem-solving","Critical thinking","Curiosity"]

Join OpenAI’s API & power-users team to advance agentic models for developers and advanced users. You’ll design evals, build production-like training environments, convert qualitative model failures into data and interventions, and drive behavior improvements from discovery through post-training and launch, collaborating across research, engineering, data, evals, and product to shape frontier agent capabilities.

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FursaFursa
OpenAI
OpenAI
2 months ago

Agent Post-Training, API & Power Users

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join OpenAI’s API & power-users team to advance agentic models for developers and advanced users. You’ll design evals, build production-like training environments, convert qualitative model failures into data and interventions, and drive behavior improvements from discovery through post-training and launch, collaborating across research, engineering, data, evals, and product to shape frontier agent capabilities.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.
  • •Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.
  • •Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.
  • •Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.
  • •Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

  • •Design and run experiments to improve model behavior in API and power-user workflows, including function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.
  • •Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.
  • •Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.
  • •Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.
  • •Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.
Experience:AIMLAPIOpenAI
Skills:CollaborationCommunicationProblem-solvingCritical thinkingCuriosity
Tech Stack:CodexChatGPTAPILLMsEvaluationTraining

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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