Remote AI Research Evaluator: Scientific Evaluation (ML/AI)

Jobgether; Schweiz; Remote; CHF 57,000 - 74,000; Part time

Benefits offered by this job

Fully remote opportunity

Competitive hourly compensation

Freelance/independent contractor

Part-time, project-based

Job summary

Jobgether, on behalf of a partner company, seeks an AI Research Scientist – Scientific Evaluation (ML/AI) based in Switzerland. The role is remote and freelance, evaluating AI research papers against top conference standards.

You will assess novelty, correctness, experimental design, reproducibility, and conclusions, delivering structured, evidence‑based feedback for leading ML conferences. Your responsibilities include evaluating AI‑generated research for scientific contributions, comparing

Qualifications

• Analytical thinker with strong scientific writing abilities.
• Ability to apply evaluation rubrics and provide evidence-based feedback.
• Experience reviewing research papers for leading ML/AI conferences is highly preferred.
• Willingness to share CV and links to qualifying publications.

Responsibilities

• Critically evaluate AI-generated ML/AI research papers for scientific contributions and correctness.
• Assess novelty and significance against state‑of‑the‑art methods.
• Examine experimental rigor, baselines, benchmarks, and reproducibility.
• Identify methodological flaws and unsupported claims that affect validity.
• Review literature, citations, and available code for technical accuracy.
• Produce structured, evidence‑based evaluations with clear justifications.

Skills

Analytical skills

Scientific writing

Independent judgment

Peer‑review experience

Education

PhD in ML/AI/CS/Statistics (or equivalent)

Three peer‑reviewed publications (NeurIPS/ICML/ICLR)

Job description

Jobgether, on behalf of a partner company, seeks an AI Research Scientist – Scientific Evaluation (ML/AI) based in Switzerland. The role is remote and freelance, evaluating AI research papers against top conference standards.

You will assess novelty, correctness, experimental design, reproducibility, and conclusions, delivering structured, evidence‑based feedback for leading ML conferences. Your responsibilities include evaluating AI‑generated research for scientific contributions, comparing