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