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Détails du poste

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110–$145/hour Location: Remote Role Responsibilities Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs. Review complex machine learning research for alignment with domain principles and methodologies. Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance. Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions. Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets. Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have PhD in Machine Learning, Computer Science, AI, or a closely related field. Published at least one main conference paper at ICML, NeurIPS, or ICLR. Strong preference for candidates with 2+ publications at these venues. Demonstrated experience conducting original ML research. Preferred Expertise in Reinforcement Learning (RL). Experience with Meta-Learning. Knowledge of Recursive Self-Improvement. Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery). Start Date Urgent; initial data/results expected Monday / Tuesday 27th July. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

Ce que vous ferez

Evaluate the accuracy and depth of AI-generated content to improve model reasoning and rigor. Develop evaluation rubrics and provide structured feedback to research teams to enhance training data quality.

Exigences

Candidates must hold a PhD in Machine Learning, Computer Science, or a related field with publications in ICML, NeurIPS, or ICLR. Proven experience in conducting original machine learning research is required.

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Computer Science
• Artificial Intelligence
• Reinforcement Learning
• Meta-Learning
• Recursive Self-Improvement
• AI for Science
• Research Methodology
• Data Quality Evaluation
• Benchmark Development
• Model Performance Improvement

Domaines d’emploi

• Science & Research
• Data & Analytics
• Technology
• Software