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 transparent, 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.
📌 AI Research Expert - Fully Remote | Upto $145/hr (Toronto)
🏢 Mercor
📍 Toronto