AI Research Scientist - Fully Remote | Upto $90/hr

About the job 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 . Position: Machine Learning Engineer — Model Evaluation & Experimentation Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design tasks by transforming real ML research ideas into well-defined, multi-step tasks. • Run experiments by implementing changes, executing training experiments, and analyzing results to define correct solutions. • Explore reinforcement learning concepts such as reward functions and training behavior in task development. • Evaluate frontier models' performance on tasks and identify areas of improvement. • Collaborate with researchers to ensure tasks are consistent, rigorous, and fair. Qualifications Must-Have • MSc or PhD in machine learning , computer science , or a related STEM field. • 1+ years in a research or research-engineering role. • Experience in training and evaluating ML models and conducting end-to-end experiments. • Proficiency in Python and Git . • Strong understanding of large language models and their evaluation. Preferred • Basic knowledge of reinforcement learning . • Experience in AI training, model evaluation, or benchmark/task authoring. Compensation & Legal • Hourly contractor • Paid weekly Application Process (Takes 20–30 mins to complete) • 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: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas