About the Team
OpenAI's Human Data Team creates custom data solutions that drive groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4o, and Sora and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.
We work with AI trainers to gather specialized data for training and evaluating our models across modalities such as video, audio, text, and tool actions. Our goal is to develop scalable methods and tools, and platforms to generate and evaluate high-quality data from both synthetic sources and human experts in various fields, including mathematics, sciences, creative writing, programming, art, and safety. We leverage OpenAI models to improve and streamline our data collection and quality processes.
We're looking for individuals with strong operational insights, experience in measuring and managing data quality, strong collaboration with internal technical stakeholders, and effective engagement with external trainers of varying expertise.
About the Role
We train AI toward general intelligence. Our ability to train increasingly capable and safe models depends on our ability to collect high-quality data, as well as combine data and compute with human supervision to align the models towards desired behaviors.
This role plays a critical part in aligning AI, specifically by:
Ensuring our researchers have an understanding of the content and quality of the human data that is an input to their models.
Constantly raising the bar on how to achieve the highest quality data possible, while doing so in an increasingly efficient manner.
Creating a clear understanding of what to do and how performance will be measured for our vendors and AI trainers to ensure the best possible outcome.
Adhering to a high degree of operational rigor and reporting to be excellent cross-functional partners to our legal, finance, and safety teams.
In this role, you will:
Work closely with external vendors and internal researchers to collect, review, and deliver high-quality data.
Partner with cross-functional teams to start up new data collection projects by gathering requirements, writing instructions, defining success criteria, and calibrating 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.
Enable nimble pivots in project execution based on changing research requirements, identified edge cases, or quality deficiencies.
You’ll thrive in this role if you:
Communicate clearly and concisely, anticipating the needs of our vendors, researchers, and partners.
Have experience managing data labeling operations, particularly for dynamic and nondeterministic labels.
Enjoy getting into the weeds of data and forming bottoms-up assessments on edge cases and quality deficiencies.
Are comfortable using a combination of internal tools, SQL, or rudimentary spreadsheets and exhibit exceptional judgment in building repeatable processes.
Have some kind of teaching experience and love to help others get things done the right way.
Are deeply adaptable to projects in varying domains and complexities, and effectively reason about systems and processes for domains even beyond your core expertise.
Have an action-oriented and deeply curious mind, often leading you to become a power user of software and tools.
Possess domain expertise in a specific area, such as coding, creative writing, law, medicine, or an ability to speak multiple (3+) languages.
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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
