About the job
About Us
At Preference Model, we are on a mission to revolutionize the training data landscape, empowering the future of artificial intelligence. While current AI models are remarkable, they often fall short in diverse applications due to the out-of-distribution tasks we aim to tackle. Our approach involves creating reinforcement learning environments where models can face real research and engineering challenges, iterate, and learn from genuine feedback loops.
Our founding team brings valuable experience from Anthropic’s data team, where we developed robust data infrastructure, tokenizers, and datasets for Claude. We collaborate with top AI laboratories to advance AI capabilities closer to their transformative potential. We are proudly backed by a16z.
About the Role
As a Founding Technical Recruiter, you will:
Innovatively source candidates: Explore repositories, research papers, Hacker News threads, Discord servers, academic labs, and open-source projects, tapping into your own network to discover exceptional candidates.
Directly assess technical talent: Dive into code, analyze research papers, and comprehend architectural decisions.
Maintain a swift recruitment process: Ensure that every candidate receives timely responses, and that all processes progress smoothly without delays.
About You
You could be an ideal candidate if you:
Are meticulously detail-oriented, taking pride in maintaining accurate data and streamlined processes.
Possess excellent interpersonal communication skills.
Demonstrate resourcefulness and adaptability.
Thrive in a dynamic, lean team environment.
Have a minimum of 2 years of experience in technical recruiting.
Preferred Qualifications
We highly value candidates with:
Experience in recruiting for cutting-edge AI roles, such as ML researchers, infrastructure engineers, systems engineers, or similarly technical roles.
Prior experience as a founder or being the initial recruiting hire at a startup.
A well-established network within the AI/ML engineering community.
We celebrate diverse perspectives and experiences. If you are excited about this opportunity but feel you do not meet every single requirement, we encourage you to apply.

