> Markdown version of [/jobs/ext/2937826-machine-learning-evaluator-ai-trainer](https://www.wearedevelopers.com/jobs/ext/2937826-machine-learning-evaluator-ai-trainer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Evaluator - AI Trainer - **Company:** Mercor, Inc. - **Location:** Philadelphia, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - $187,200.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Machine Learning, Tensorflow, Pytorch, Kaggle, Scikit Learn, Xgboost - **Published:** September 16, 2026 - **Apply:** https://www.careerjet.com/jobad/usefb6ac1d408c110254d83f8bd88c516d ## About the Role 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. ## Description * 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., Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role w… + 1 month ago ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing](https://www.wearedevelopers.com/videos/262-is-my-ai-alive-but-brain-dead-how-monitoring-can-tell-you-if-your-machine-learning-stack-is-still-performing) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)