About the Team
OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, 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, 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 data science skills, research experience, and a deep understanding of Human-Machine Interaction challenges, especially with novel and highly capable models. The ideal candidate will have experience working with natural language, image, and other types of data, using that knowledge to identify gaps in our processes and determine where data quality interventions would have the most significant impact.
About the Role
As an early member of our data science effort on human data, you will establish the data-driven process for understanding and improving data quality across all dimensions. You should expect to define our north-star metrics and establish source-of-truth dashboards that our researchers and operation managers can use to track progress and make research decisions. Most importantly, you should expect to be a core member of the human data team.
This role is based in our San Francisco HQ. We offer relocation assistance to new employees.
In this role, you will:
Embed with the human data team to uncover new ways to improve data quality and throughput
Define and interpret tests that help answer critical questions about the impact of model, UX changes, and process changes to our data collection pipeline
Establish a data-driven development culture by driving the definition, tracking, and operationalizing of quality, throughput and diversity metrics
Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer data questions in a self-serve way
You might thrive in this role if you have:
5+ of years experience in a quantitative role navigating highly ambiguous research environments
Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
Defined, implemented, and operationalized new feature and product-level metrics from scratch
Excellent communication skills with a demonstrated ability to communicate with product managers, engineers, and executives alike
Strategic insights beyond the paradigm of statistical significance testing
You could be an especially great fit if you have:
Demonstrated prior experience in NLP, large language models, or generative AI
A strong programming background, with the ability to run simulations and prototype variants
Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)
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.
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.
