AI Research Scientist – Scientific Evaluation, ML/AI

🔥 7 minutes ago

🇨🇭 Switzerland – Remote

💵 $50 - $65 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lightly

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Lightly is a company that specializes in optimizing machine learning workflows by selecting the most valuable data for training AI models, thereby reducing redundancy and bias. Their innovative toolkit supports advanced vision-language and generative AI development, enabling enterprises, researchers, and startups to manage their data and machine learning pipelines more efficiently. Through solutions like Lightly One, Edge, and Train, they help customers significantly improve model performance while minimizing data labeling costs.

📋 Description

• Critically evaluate AI-generated ML/AI research papers for scientific contributions, technical correctness, methodology, experimental design, and conclusions • Assess scientific novelty and significance against 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 • Assess reproducibility and technical soundness using experimental evidence, code, and implementation details where available • Review and verify relevant academic literature, prior work, citations, and novelty claims • Evaluate whether AI-generated research meets the standards of top-tier ML/AI conferences such as NeurIPS, ICML, and ICLR • Provide structured, evidence-based assessments covering strengths, weaknesses, critical technical concerns, and overall scientific merit • Apply detailed evaluation rubrics consistently with clear, well-reasoned justifications • Provide expert human judgment on whether research is scientifically valid, genuinely novel, and comparable to leading ML/AI conference work

🎯 Requirements

• PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related technical field, or equivalent demonstrated research expertise • At least 3 peer-reviewed research papers at NeurIPS, ICML, and/or ICLR (hard requirement), ideally including first-author or significant research contributions • Substantial hands-on ML/AI research experience, including developing novel methods, designing experiments, analyzing results, and publishing original scientific work • Strong understanding of scientific methodology and experimental rigor, including appropriate baselines, statistical validity, benchmark design, ablation studies, and reproducibility • Ability to independently assess the novelty, significance, and technical soundness of advanced ML/AI research • Experience reviewing research papers for top-tier ML/AI conferences or journals, ideally NeurIPS, ICML, or ICLR — strongly preferred • Familiarity with state-of-the-art ML/AI research and established benchmarks • Ability to verify scientific claims, including reviewing technical arguments, experimental evidence, citations, and code implementations where relevant • Strong analytical and scientific writing skills • Ability to apply detailed evaluation guidelines and scoring rubrics while exercising independent expert judgment • Exceptional attention to detail • CV and brief note describing research background, areas of expertise, and publication record • Links to at least 3 peer-reviewed publications at NeurIPS, ICML, and/or ICLR • Relevant academic peer-review experience, if applicable

🏖️ 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