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

About this role

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
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