AI Researcher - Fully Remote | Upto $100/hr

mercor; Deutschland; Remote; EUR 74,000 - 123,000; Full time

Job summary

Mercor is seeking ML Research PhD experts for a remote contract role. You will evaluate AI-generated content, review ML research for rigor, and provide structured feedback to AI teams to improve data quality and model performance.

Requirements include a PhD in ML/CS/AI, publications at ICML/NeurIPS/ICLR, and a track record of original ML research. Preferred: RL, meta-learning, recursive self-improvement, and AI-for-science interests.

Qualifications

• 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.

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

Research focus

Independent work

Asynchronous collaboration

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.