Machine Learning Evaluator - Fully Remote | Upto $90/hr

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 Challenge Task Auditor Type: Contract Compensation: $70–$90/hour Location: Remote Role Responsibilities Evaluate the quality, correctness, and methodological rigor of applied machine-learning tasks for training and evaluating models. Assess experiment design, model-selection reasoning, and evaluation methodology. Provide clear, rubric-based written feedback to improve AI model performance . Review and critique ML claims against evidence and reproduce results. Work independently and asynchronously to meet deadlines while enhancing model outputs. Qualifications Must-Have 3+ years hands-on applied/experimental ML experience. Strong grasp of data-quality rigor: leakage detection, metric gaming, and train/test/CV hygiene. Proficiency with standard ML frameworks ( PyTorch , TensorFlow , scikit-learn , XGBoost ). Ability to critique ML claims against evidence and reproduce results. Preferred Competition/benchmark experience (e.g., Kaggle ). Graduate research or publication record in applied ML . Prior task-grading or peer-review experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form 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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.