AI Research Scientist – Scientific Evaluation (ML/AI)
Members only
Remote (worldwide)
USD 50 – 65/hrActual
RemoteContractSeniorPosted 1 weeks ago
What you bring
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
Employer closing dateNot provided
GoKazini listing ends2 Dec 2026
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2 December is when this listing ends on GoKazini. The employer may stop accepting applications before then, so apply soon.
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