ML Research Expert

Position: ML Research Expert

Type: Contract

Compensation: $140–$150/hour

Location: Remote

About the Prospect
AfterQuery partners with leading AI research organizations to evaluate and improve frontier AI systems. We are seeking experienced Machine Learning Research Experts with a proven research track record to design benchmark tasks, evaluate model capabilities, and contribute expert-level ML reasoning to next-generation AI systems.
This role is intended for researchers who actively conduct machine learning research, write ML code, publish scientific work, and contribute original ideas to the field. The focus is on designing rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains.
Areas of interest include Language Models, Deep Learning, Reinforcement Learning, Computer Vision, Generative AI, Robotics, ML Systems, Optimization, Learning Theory, Time Series Forecasting, Causal Inference, Trustworthy AI, and AI for Science.
Key Responsibilities




• Design realistic machine learning research tasks and benchmark problems.
• Develop expert-level reference solutions and evaluation methodologies.
• Create grading rubrics that assess model reasoning, implementation quality, and scientific correctness.
• Evaluate AI-generated solutions for technical accuracy, research validity, and methodological rigor.
• Author problem sets covering advanced machine learning concepts and research workflows.
• Review model outputs and identify weaknesses in reasoning, implementation, experimentation, and interpretation.
• Document expected solutions, evaluation criteria, and benchmark standards.
• Contribute domain expertise to improve the quality of frontier AI evaluation systems.

Required Qualifications
• At least one first-author research publication in Machine Learning, Artificial Intelligence, or a closely related field.
• Master's or PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a rela

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