AI Research Scientist – Scientific Evaluation (ML/AI)

What you'll be doing

Critically evaluate AI-generated ML/AI research papers , assessing their scientific contributions, technical correctness, methodology, experimental design, and conclusions

Assess scientific novelty and significance , determining whether proposed approaches represent meaningful advancements over existing state-of-the-art research

Evaluate experimental rigor and validity , including baseline comparisons, benchmark selection, evaluation metrics, statistical evidence, and ablation studies

Identify methodological flaws, unsupported claims, inconsistencies, or misleading results that undermine the scientific validity of proposed contributions

Assess reproducibility and technical soundness , including whether reported findings are sufficiently supported by experimental evidence and, where available, accompanying code and implementation details

Review and verify relevant academic literature , identifying overlooked prior work, inaccurate citations, and unsupported novelty claims

Evaluate whether AI-generated research meets the scientific standards of top-tier ML/AI conferences , such as NeurIPS, ICML, and ICLR

Provide structured, evidence-based assessments of research quality, including strengths, weaknesses, critical technical concerns, and overall scientific merit

Apply detailed evaluation rubrics consistently , providing clear, well-reasoned justifications for your assessments

The project focuses on evaluating advanced AI-generated scientific research, with an emphasis on technical validity, scientific novelty, experimental rigor, and overall research quality. Your role is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable to work accepted at leading ML/AI conferences.

Requirements

You're a strong candidate if you:

Have a PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related technical field, or equivalent demonstrated research expertise

Have published at least 3 peer-reviewed research papers at NeurIPS, ICML, and/or ICLR (hard requirement) , ideally including first-author or significant research contributions

Have substantial hands-on ML/AI research experience , including developing novel methods, designing experiments, analyzing results, and publishing original scientific work

Have a strong understanding of scientific methodology and experimental rigor , including appropriate baselines, statistical validity, benchmark design, ablation studies, and reproducibility

Can independently assess the novelty, significance, and technical soundness of advanced ML/AI research , identifying both meaningful scientific contributions and fundamental methodological weaknesses

Have experience reviewing research papers for top-tier ML/AI conferences or journals , ideally NeurIPS, ICML, or ICLR — strongly preferred

Are highly familiar with state-of-the-art ML/AI research and can critically assess new methods against existing literature and established benchmarks

Are comfortable verifying scientific claims , including reviewing technical arguments, experimental evidence, citations, and, where relevant, code implementations

Have strong analytical and scientific writing skills and can articulate nuanced technical judgments through concise, evidence-based feedback

Can consistently apply detailed evaluation guidelines and scoring rubrics while exercising independent expert judgment

Have exceptional attention to detail , particularly when identifying subtle methodological flaws, unsupported conclusions, or discrepancies between claims and evidence

Benefits

Fully remote and flexible — work from anywhere

Part-time contractor role with flexible hours

Work on the evaluation of cutting-edge autonomous AI systems capable of conducting end-to-end scientific research

Apply your research expertise to help assess and advance the scientific capabilities of frontier AI agents

Send us your CV along with a brief note about your research background, areas of expertise, and publication record. Please include links to at least 3 peer-reviewed publications at NeurIPS, ICML, and/or ICLR , as well as any relevant academic peer-review experience.

If applicable, we'd also love to know which ML/AI research areas you're most familiar with and whether you've served as a reviewer, area chair, or in a similar capacity at major research conferences.

We look forward to hearing from you!

Find Jobs in Switzerland on Arbeitnow