AI Research Scientist – Scientific Evaluation (ML/AI)

📋 Description

• Evaluate AI-generated ML/AI research papers for scientific contributions, technical correctness
• Assess the novelty and significance of proposed approaches by comparing them with existing research
• Examine experimental rigor, including baseline comparisons, benchmark selection, evaluation
• Identify methodological flaws, unsupported claims, inconsistencies, misleading results, and other
• Assess reproducibility and technical soundness by reviewing experimental evidence, implementation
• Verify relevant academic literature, identify overlooked prior work, check citation accuracy, and

🎯 Requirements

• A PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely
• At least three peer-reviewed research publications at NeurIPS, ICML, and/or ICLR. This is a
• Ideally, first-author publications or other significant research contributions demonstrating
• Extensive hands-on ML/AI research experience, including developing novel methods, designing
• Strong knowledge of scientific methodology and experimental rigor, including baseline selection
• Ability to independently assess the novelty, significance, technical soundness, and scientific

🎁 Benefits

• Fully remote opportunity open to candidates worldwide.
• Competitive compensation of $50–$65 per hour.
• Freelance or independent contractor arrangement.
• Part-time, project-based work with flexible hours.
• Opportunity to evaluate cutting-edge autonomous AI systems capable of conducting end-to-end
• Chance to apply your research expertise to the evaluation and advancement of frontier AI agents.