Machine Learning Researcher | Upto $105/hr Hourly

Mercor
Part time
Human Resources
Canada
Hiring from: Canada
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: AI and ML Research Evaluator

Type: Contract

Compensation: $105/hour

Location: Remote

Commitment: Flexible hours

Role Responsibilities

  • Critically review machine learning papers for methodological soundness, novelty, and clarity.
  • Inspect Python source code and experimental logs to validate reported metrics against underlying data.
  • Conduct literature reviews using tools such as Google Scholar or Semantic Scholar to identify prior work, detect plagiarism, and assess research originality.
  • Provide structured feedback on “human-quality” research assessments and potential ethical or safety-related concerns.
  • Submit non-identifying background details to establish evaluator credibility for the study.

Qualifications

Must-Have

  • Strong academic or professional background in artificial intelligence, machine learning, or related research domains.
  • Ability to read and evaluate Python code, experimental pipelines, and quantitative logs.
  • Demonstrated experience with academic literature review tools.
  • High attention to detail and ability to assess complex technical arguments.

Preferred

  • Experience interpreting and analyzing ML papers; familiarity with top-tier venues (e.g., NeurIPS, ICLR, ICML).

Start Date

  • Immediate

Compensation & Legal

  • Payments are issued regularly based on completed work via Mercor’s platform.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or CV to begin.
  • Complete a brief form outlining your technical background and relevant publications.
  • Additional screening questions or sample evaluations may be requested to confirm expertise.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/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.

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