About the Role Join an exciting project at the forefront of AI innovation. As a Junior SWE, you will drive the development of improving the responses of generative AI models. Your technical leadership will be essential in crafting globally-used platforms for advanced AI training and deployment. A brief 15-minute interview precedes candidate selection, with decisions typically made within two days following assessment completion. We are seeking candidates who are available for an immediate start date (6/30). You're a strong candidate if you: • Have 1+ years of software engineering experience from top-tier technology startups, hedge funds, Fortune 500 companies, or similarly demanding environments. • Hold a Computer Science degree from a university in the U.S., Canada, UK or India. • Have demonstrated success writing code across various programming languages and libraries (C++, Python, Java, React, Pandas, Matplotlib, Flutter, Rust, etc.) • Demonstrate exceptional attention to detail and rigorous problem-solving skills. • Excel in both written and verbal communication. Role Highlights • Evaluate pairwise LLM outputs for quality and accuracy. • Navigate the unique constraints presented by Reinforcement Learning environments. • Flexible workload: 15–20 hours weekly, with the potential to scale to 30 hours. • Fully remote and asynchronous scheduling. • Commitment of 2-3 weeks, with opportunity for extension. Compensation and Legal Details • If you receive an offer for this position, you will be assigned to one of our ongoing projects. This project has an hourly rate of $40-60/hr. About Mercor Mercor connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request