Mercor works with many top AI research labs to evaluate how their large language models perform on code-related tasks. We’re recruiting great software engineers to help us on these projects.

After you pass our application process (an AI interview followed by a paid technical assessment), we’ll add you to our shortlist for future work on these projects. Being on this shortlist means you’ll get first dibs on work paying $30-$100+/hr to help our clients understand the performance of their AI models.

Required Qualifications:

• Have experience working with one or more of the following languages: Python, JavaScript, TypeScript, Rust, Ruby, Go, C++, Java, C#, Swift, SQL.
• OR have experience working with more niche languages like Lisp, Haskell, OCaml, Lua, Scala, Elixir, etc.

Nice-to-haves:

• 2+ years of professional experience in software development, data engineering, data science, machine learning, or similar fields.
• Contributions to major open source projects.

Some more details about the role:

• The work is fully asynchronous and remote, so you can work on your own schedule.
• Projects are somewhat spiky in availability, but there are ongoing projects most weeks. We find our experts are usually able to work 10-30 hours per week on live projects.
• Projects can involve analyzing model performance on a variety of code-related tasks, including code generation, debugging, refactoring, test creation, and more.
• Projects have different hourly rates, often in the range of $30-$100+/hr. You’ll be paid for your work weekly.

About Mercor:

• Our team is based in San Francisco, CA.
• We specialize in recruiting experts for top AI labs.
• Our investors include General Catalyst, Adam D’Angelo, and Chris Ré.