AI Research Expert - Fully Remote | Upto $145/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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110–$145/hour Location: Remote Role 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). Experience with Meta-Learning. Knowledge of Recursive Self-Improvement. Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery). Start Date Urgent; initial data/results expected Monday / Tuesday 27th July. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Evaluate the accuracy and depth of AI-generated content to improve model reasoning and rigor. Develop evaluation rubrics and benchmarks while collaborating with experts to ensure dataset consistency.

Must hold a PhD in Machine Learning, Computer Science, or AI with at least one publication at ICML, NeurIPS, or ICLR. Experience in original ML research is required, with a preference for expertise in Reinforcement Learning and Meta-Learning.

• Machine learningPreferred

Identified from the job description. Confirm important requirements above.

• Machine Learning
• AI Research
• Reinforcement Learning
• Meta-Learning
• Recursive Self-Improvement
• AI for Science
• Model Evaluation
• Benchmark Development
• Data Quality Improvement
• Scientific Research

• Science & Research
• Technology
• Software
• Data & Analytics
• Engineering

Minimum education

Master’s degree

Minimum experience

5+ years

Apply by

Sep 10, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Not Applicable