Senior Technical Trainer – Machine Learning

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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OnHires

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• Create and present machine learning courses for engineers, from foundations through training their own models • Shape courses with the curriculum team, including sections, lessons, labs, and notebooks • Write lab specifications for the dedicated labs team and test the completed labs • Write and narrate short, story-driven video lessons of approximately six minutes each • Record demo and lab-solution walkthroughs • Incorporate structured editorial feedback, particularly on the first section • Collaborate through weekly syncs, Slack communication, and time-zone overlap with a Europe/Asia-based team • Focus on teaching while the production team handles video editing, animation, lab infrastructure, and publishing

🎯 Requirements

• Strong, hands-on machine learning foundations • Experience training, evaluating, and shipping models using scikit-learn, PyTorch, or TensorFlow • Ability to clearly explain the reasoning behind machine learning to engineers new to it • Excellent spoken and written English • Clear, natural, easily understood English and confidence on camera • Genuine passion for teaching demonstrated through courses, tutorials, talks, workshops, or mentoring • Current knowledge of the machine learning field and willingness to keep learning • Openness to an established teaching methodology and editorial feedback • Nice to have: published online courses, a book, or university/bootcamp teaching experience • Nice to have: experience with fine-tuning, MLOps, or deploying models in production • Nice to have: cloud ML certifications such as AWS, Azure, GCP, or Databricks • Must provide a CV or LinkedIn profile and a link demonstrating teaching or presentation ability

🏖️ Benefits

• Paid freelance course project • Fixed fee per course agreed upfront • Competitive fees, with higher compensation for advanced topics and exceptional instructors • Flexible hours • Fully remote work • Potential path to a full-time role or additional course projects

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