APPLY ASAP: This role will start immediately

• Role Overview

Mercor is partnering with a leading research organization seeking independent experts with strong backgrounds in artificial intelligence and machine learning. Contractors will support a study focused on evaluating the quality, novelty, and methodological rigor of modern ML research. This engagement involves analyzing academic papers, inspecting code and experiment logs, and assessing the credibility and originality of submitted work. This is a short-term, flexible contract suitable for technically proficient AI researchers and practitioners.

Key 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 (e.g., affiliation, highest degree, publication links) to establish evaluator credibility for the study.

Ideal Qualifications

• Strong academic or professional background in artificial intelligence, machine learning, or related research domains.
• Experience interpreting and analyzing ML papers; familiarity with top-tier venues (e.g., NeurIPS, ICLR, ICML) is preferred but not required.
• Ability to read and evaluate Python code, experimental pipelines, and quantitative logs.
• Demonstrated experience with academic literature review tools.
• Doctoral students, industry researchers, and published authors are encouraged to provide services.
• High attention to detail and ability to assess complex technical arguments.

Contract Terms

• Payments are issued regularly based on completed work via Mercor’s platform.
• Start date: Immediate.
• Pay is in USD and subject to exchange rates

Application Process

• 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.
• You will be contacted with next steps shortly after submission.

About Mercor

• Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations.
• Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.
• Thousands of professionals across domains such as research, engineering, law, and creative work partner through Mercor to support frontier AI projects.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

🟢 Please consider applying even if you don't meet 100% of what’s outlined 🟢

Key Responsibilities

• 📄 Reviewing machine learning papers
• 🔧 Inspecting code and logs
• 🔍 Conducting literature reviews

Key Strengths

• 🤖 Artificial Intelligence
• 📊 Machine Learning
• 🐍 Python Programming
• 📚 Academic Literature Review Tools
• 🔍 Attention to Detail
• 🎓 Research Experience

Why Mercor is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Mercor not with Hatch.