AI Research Scientist - Fully Remote

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 contractorPaid weeklyApplication Process (Takes 20–30 mins to complete) Upload resumeAI interview based on your resumeSubmit formResources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: [email protected]: Our team reviews applications daily.

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Remote Skills: Artificial Intelligence (AI), Benchmarking, Computer Science, Git, Machine Learning, Modeling Languages, Performance Modeling, Python Programming/Scripting Language, Reinforcement Learning, Research Laboratory, Scientific Research undefined: Mercor