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