Machine Learning Researcher | Upto $75/hr Remote

Machine Learning Researcher | Upto $75/hr Remote

Join to apply for the Machine Learning Researcher | Upto $75/hr Remote role at Mercor

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$65.00/hr - $75.00/hr Company Introduction

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D’Angelo , Larry Summers , and Jack Dorsey . Role Overview Position: Computer Science PhD – Contractor, Remote Commitment: 10-20 hours per week Contribute subject matter expertise to a cutting-edge project involving frontier large language models. Craft high-quality, challenging problems with real-world applicability to inform the future of AI innovation. Responsibilities Collaborate asynchronously with a team of highly qualified experts across your domain. Craft, solve, and review challenging problems with real-world applicability. Ensure the project aligns with AI innovation goals and objectives. Work independently and asynchronously to meet project deadlines. Contribute to the continuous improvement of AI model performance. Requirements / Qualifications Must-Have Qualifications Masters or PhD in Computer Science from a top US university High attention to detail Exceptional written and verbal communication skills Excellent proficiency in English Based in the U.S., Canada, New Zealand, UK, or Australia Preferred Qualifications Experience in crafting problems with real-world applicability Familiarity with frontier large language models Engagement Details Compensation: $65-75/hour Contract Type: Hourly Contractor Schedule: 10-20 hours per week Location: Fully remote and asynchronous Start Date: Late September, applications reviewed on a rolling basis Payment: Weekly via Stripe Connect Application Process Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: #J-18808-Ljbffr