OpenAI

4 weeks 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: 3 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: 4.4

Website LinkedIn Glassdoor

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OpenAI

4 weeks 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: 3 hours agoStatus: Live

Job Summary

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: 4.4

Website LinkedIn Glassdoor