Uber Tech Lead, Software Engineer, Human Data

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,, and and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.

We design, develop, and maintain the production-quality platform necessary to generate such data at scale. The team is responsible for data management tools, operations, data quality, and research on techniques for data collection.

We capture data from a variety of sources to train our models, across multiple different modalities (for example ) and to train AI.

We need to build a scalable set of internal tools and platforms in order to ensure the distribution, and quality of this data that comes from both synthetic and human experts across many domains (math, sciences, creative writing, programming, artistic endeavors).

We’re also leveraging our own internal OpenAI models to scale our data collection and quality.

About the Role

In this role you will :

Serve as overall technical lead for Human Data, which is a core part of the Research organization. You will collaborate with product managers, researchers, and the rest of our engineering team to create new products or platforms around emerging research capabilities and unsolved customer needs.

Architect, build, and design our tooling, infra, products, and evals that power our data collection and management platform, including collecting important training signals from products like ChatGPT, Dall-E, Sora, along with the key interfaces used by our AI human labelers.

Iterate rapidly to improve user and developer experience both for our internal team as well as partner research teams while advancing scalability, performance, observability, and security.

Understand training and eval data needs from across all of OpenAI and research opportunities to improve our platform, and help develop our technical roadmap and prioritization.

Mentor other very senior engineers / TLs, especially in building scalable systems, building optimal tools to help serve our customers, and prioritization and strategy.

Help drive the high leverage projects for our team and ensure our team engagement is high and team, technical, and organizational blockers are resolved and milestones are delivered.

Ensure that our overall data collection platform is secure, scalable, highly available, and maximally useful.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You might thrive in this role if you :

Have past experience as a technical lead of a larger organization (Uber TL), serving as the technical lead for a large team (20 - 40+ engineers) or multiple engineering groups concurrently.

Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale.

Care deeply about the end user experience and have a passion for partnering with researchers and take pride in building products to accelerate research.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Are willing to both own important problems end-to-end, but also have good delegation skills and are willing to pick up whatever knowledge you're missing to get the job done.

Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do.

Are interested in and thoughtful about the impacts of AI technology (see our for examples of our goals) and care deeply about the impact of ML models on people's lives;

how to maximize the benefits and mitigate the possible harms.