Senior Technical Trainer — Machine Learning (Fully Remote)

OnHires

United States

Remote

USD 70,000 - 110,000

Full time

3 days ago
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Job summary

OnHires in the United States seeks an educator to shape course structure and deliver engaging ML labs. The role starts with one paid course project alongside your current job, with no fixed weekly-hour requirement; a delivery plan is agreed together.

First project is a trial, leading to full-time or more courses. You will write lab specs, narrate video lessons, record demos, and implement editorial feedback; production handles editing.

Qualifications

  • Strong hands-on ML foundations in leading frameworks.
  • Experience creating or teaching ML courses or tutorials.
  • Excellent spoken English and on-camera presence.

Responsibilities

  • Shape course structure with curriculum team (sections, lessons, labs).
  • Write lab specs and test them; narrate short video lessons.
  • Record demos; work through editorial feedback; production handles editing.

Skills

Hands-on ML
Teaching / course design
Public speaking / on-camera
English communication
ML frameworks

Tools

scikit-learn
PyTorch
TensorFlow

Job description

  • Starts with one paid course project alongside your current job.
  • No fixed weekly-hour requirement, just a delivery plan agreed together.
  • First project is a trial, leading to full-time or more courses.
What you’ll do:
  • Shape course structure with the curriculum team: sections, lessons, labs.
  • Write lab specs, then test them; narrate short video lessons.
  • Record demos and work through editorial feedback; production handles editing.
What we’re looking for:
  • Strong hands-on ML foundations with experience in scikit-learn, PyTorch, or TensorFlow.
  • Clear, engaging spoken English and confidence on camera.
  • A genuine passion for teaching shown through courses, tutorials, or talks.
OnHires

A global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes, and AI. Its courses are built around real labs and taught by practising engineers, fostering a collaborative and flexible culture.

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