$55-$70 per hour
Hourly contract
Remote
Mercor is seeking STEM PhDs for a premier project with one of the world's top AI labs.
In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain.
You're a good fit if you:
Have attended undergraduate in US/UK/Canada, Europe, or India
Have a STEM PhD from a top university in domains such as Engineering (Mechanical/Chemical/Electrical), Biology, Chemistry, Physics.
Have high attention to detail.
Have exceptional written and verbal communication skills.
Have excellent proficiency in English.
Here are more details about the role:
You will interface directly with prominent AI researchers from the lab in a private Slack channel
The role is ongoing starting in June and continuing with rolling applications.
The project is 10-20 hours of work per week with potential to be extended to 40 hours per week
The work is fully remote and asynchronous so it can flexible and subject to your schedule
This project is scoped to last a minimum of 1-2 months
With respect to pay and legal status:
You will be legally classified as an hourly contractor for Mercor
We will pay you out at the end of each week via Stripe Connect
Screening Process:
You will need to complete a short interview and form which will take 20-30 min to fully apply.
Currently, we are only accepting applicants from the U.S., UK, and Canada.
Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Tagged as: Chemistry, Computer Science, Data Science, Earth Science, Engineering, Environmental Science, Life Sciences, Mathematics, Physics
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