> Markdown version of [/jobs/ext/4640381-senior-technical-trainer-machine-learning-remote-worldwide](https://www.wearedevelopers.com/jobs/ext/4640381-senior-technical-trainer-machine-learning-remote-worldwide). 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). --- # Senior Technical Trainer - Machine Learning Remote, worldwide - **Company:** OnHires LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, DevOps, Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Google Cloud, Pytorch, Information Technology, Machine Learning Operations, Databricks - **Published:** November 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-technical-trainer-machine-learning-remote-worldwide--c441d1e3-a45d-4ee6-a946-39f07bc5707d ## About the Role Technical Training, Machine Learning, Artificial Intelligence (AI), DevOps, Software Engineering, Cloud Computing, Training/Teaching, Machine Learning, YouTube, Information Technology & Information Systems, * Strong, hands-on ML foundations: you've trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow). * The ability to explain the "why" behind ML clearly to engineers new to it. * Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera. * A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you've done because you enjoy it. * Current with the field and keen to keep learning. * Clear, engaging spoken English and confidence on camera. * Openness to an established teaching methodology and to editorial feedback. Nice to have * Published online courses, a book, or university/bootcamp teaching experience. * Experience with fine-tuning, MLOps or deploying models in production. * Cloud ML certifications (AWS, Azure, GCP, Databricks).