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Ai Research Phd Jobs (NOW HIRING)

About the job Mercor connects elite creative and technical talent with leading AI research labs ... ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145 ...

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About the job Mercor connects elite creative and technical talent with leading AI research labs ... Mathematics PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Commitment ...

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How much do ai research phd jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai research phd in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Ai Research Phd jobs? Cities with the most Ai Research Phd job openings:
What states have the most Ai Research Phd jobs? States with the most job openings for Ai Research Phd jobs include:
Infographic showing various Ai Research Phd job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

ML Research Scientist - PhD

Mercor

New York, NY • Remote

$110 - $145/hr

Full-time

Posted 17 hours ago

Posted today


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: $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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.