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

Role Summary

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.

Requirements

• 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:

Additional Information

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.