Senior Technical Trainer — Machine Learning

NetherlandsRemoteFull-timesenior

Technical TrainerEducation & Training

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Quick Summary

Key Responsibilities

The initial course project typically takes around three months, providing a clear timeframe for planning and delivery.

Requirements Summary

Hands-on machine learning experience: Demonstrated ability to train, evaluate, and ship models using frameworks such as scikit-learn, PyTorch, or TensorFlow.

Technical Tools

Technical TrainerEducation & Training

We are seeking a hands-on machine learning practitioner with a passion for teaching to design and deliver engaging technical courses for engineers. In this remote freelance role, you will help learners progress from core machine learning concepts to training and evaluating their own models through practical, lab-based learning. You will collaborate with curriculum specialists and production teams to develop clear lessons, hands-on exercises, and real-world demonstrations. The focus is on sharing your technical expertise through compelling scripts, video presentations, and lab walkthroughs rather than managing production tasks. The initial paid course project typically lasts around three months and can be completed alongside existing professional commitments. With flexible hours and a delivery plan agreed in advance, the opportunity may lead to further projects or a full-time position.

Requirements

~1 min read

Experience publishing courses on platforms such as Udemy, Pluralsight, or Coursera, or creating educational content on YouTube.
Experience writing a technical book or teaching at a university, bootcamp, or similar educational setting.
Practical knowledge of fine-tuning, MLOps, or deploying machine learning models in production.
Cloud machine learning certifications related to AWS, Microsoft Azure, Google Cloud Platform, or Databricks.

What We Offer

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✓Competitive project-based compensation: A fixed fee is agreed upfront for each course, based on its length and technical complexity, with competitive rates for advanced topics and exceptional instructors.

✓Flexible working arrangements: Work remotely from anywhere in the world, with no fixed weekly-hour requirement and a delivery schedule agreed in advance.

✓Compatible with existing commitments: Complete the initial freelance course project alongside your current job or other professional responsibilities.

✓Defined project scope: The initial course project typically takes around three months, providing a clear timeframe for planning and delivery.

✓Payment upon completion: Receive the agreed course fee when the completed course is delivered.

✓Long-term career potential: Successful collaboration may lead to additional course projects or a full-time opportunity as part of a growing trainer network.

✓Dedicated production support: Focus on instructional content and teaching while the production team handles editing, animation, lab infrastructure, and publishing.

✓Collaborative remote environment: Work closely with curriculum and production specialists through regular team syncs and Slack communication.

✓Professional visibility: Showcase your technical expertise and teaching ability by developing practical learning experiences for a broad engineering audience.