AI Researcher - Fully Remote | Upto $100/hr

mercor; France; Remote; EUR 74,000 - 123,000; Part time

Job summary

Mercor seeks a PhD-level ML Researcher to join a remote, contract role evaluating AI-generated content and strengthening model rigor. You will review cutting-edge ML research, design evaluation criteria, and provide structured guidance to research teams to improve data quality and model performance.

The candidate will have a PhD in ML/CS/AI, a track record of publishing at ICML/NeurIPS/ICLR (ideally 2+ publications), and demonstrated experience in original ML research.

Qualifications

• PhD level ML research experience.
• Published at ICML/NeurIPS/ICLR or similar venues; ideally 2+ publications.
• Experience conducting original ML research.

Responsibilities

• Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
• Review complex machine learning research for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

ML research

Academic publishing

Education

PhD in ML/CS/AI

Job description

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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $60–$100/hour Location: Remote

Responsibilities

• Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs .
• Review complex machine learning research for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

Must-Have

• PhD in Machine Learning , Computer Science , AI , or a closely related field.
• Published at least one main conference paper at ICML, NeurIPS, or ICLR .
• Strong preference for candidates with 2+ publications at these venues.
• Demonstrated experience conducting original ML research .

Preferred

• Expertise in Reinforcement Learning (RL) .
• Knowledge of Meta-Learning .
• Experience with Recursive Self-Improvement .
• Interest in AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

• Urgent ; applications reviewed on a rolling basis.