ML Challenge Task Auditor

Remote • Contract • Worldwide • $70-$90/hr

Mercor is hiring for this role as an independent contractor engagement. Work is remote and project based.

Evaluate the quality, correctness, and methodological rigor of applied machine-learning tasks used to train and evaluate a frontier AI lab's models. You'll assess experiment design, model-selection reasoning, and evaluation methodology , and provide clear, rubric-based written feedback.

Basic Qualifications • 3+ years hands-on applied/experimental ML (experiment design, model selection, hyperparameter tuning, evaluation methodology) • 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 Qualifications • Competition / benchmark experience (e.g., Kaggle) • Graduate research or publication record in applied ML • Prior task-grading or peer-review experience

Note: this role evaluates applied/experimental ML rigor , it is not an LLM-application-building or MLOps role.