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Data Program Manager, Human Data

OpenAI · San Francisco · full-time

Productfull-timeSan Francisco$207K – $230K
ResearchHuman Data
RemoteJobs editorial overview

Strategic Overview

Data Program Manager, Human Data at OpenAI is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality….

The role is listed for San Francisco with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Research, Human Data.

Job seeker snapshot

Key information at a glance

Role focusProduct
LocationSan Francisco
Employmentfull-time
Experienceat least 1-2 years of relevant experience
Salary$207K – $230K
PostedAug 19, 2026
Last seenOct 25, 2026
Role context

About This Role

About the Team

The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training…

About the Role

What the role delivers

Key Responsibilities & Objectives

  • Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world
  • Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data
  • Gather requirements, write instructions, define success criteria, and calibrate the AI trainers
  • You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission.
  • You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes.
Compensation & benefits

Salary & Benefits

Published compensation: $207K – $230K

Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.

This job$207K – $230K
Current market range$800 – $445,000
Comparable jobs107

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

About the Team

The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advancetheir applications.

About the Role

As a Data Program Manager in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world

This role is based in our San Francisco HQ.

In this role, you will:

  • Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world

  • Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data

  • Gather requirements, write instructions, define success criteria, and calibrate the AI trainers

  • Use internal tooling to assess labeled data and provide feedback to AI trainers

  • Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience

You’ll thrive in this role if:

  • You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat.

  • You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission.

  • You have a can-do attitude. You don’t shy away from rolling up your sleeves and tackling the "grunt work" with the same enthusiasm as high-visibility tasks.

  • You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships.

  • You are resilient and flexible. Setbacks don’t rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset.

  • You’re super organized amidst chaos. Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity.

  • You enjoy operational work. While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively.

  • You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes.

  • You’re energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you’ll feel right at home.

  • You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This product opening is a useful opportunity for candidates whose experience matches Research, Human Data. Its strongest career signal is the scope of the work itself — particularly Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Research, Human Data, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.