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: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas