Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote

Updated: 27 April 2026

Are you an experienced machine learning engineer who instinctively spots gaps in AI reasoning and understands the complex realities of ML practice? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies machine learning expertise at scale.

• Review and refine AI-generated outputs related to machine learning, model development, implementation, and practical aspects of engineering work

• Evaluate AI responses for technical accuracy, practicality, and compliance with real-world requirements

• Draft realistic ML scenarios based on your direct professional experience

• Create scenario variations from different perspectives (e.g. engineer, product manager, client, or stakeholder)

• Identify gaps, oversights, or weak reasoning in AI-generated engineering content

In simple terms:
You will assess and improve AI-generated content, ensuring it reflects true ML engineering reasoning, authentic documentation, and practical procedures. Rather than conducting traditional engineering projects, you’ll apply your expertise to help AI systems understand and reason about the machine learning process at scale.

• A senior-level machine learning engineer with significant professional experience within the EU or UK

• Experienced in advising on, preparing, and executing machine learning projects and model deployments

• Skilled at evaluating algorithms, implementation, and compliance with specifications

• Comfortable working independently and providing structured, critical feedback

• Available for 8–20 hours per week, with prompt availability

To complete your application, you’ll receive an email right after applying with a link to:

• A short written evaluation

• A brief AI-powered interview

• A quick compliance check (credentials & identity)

Important: Your application is only complete once you finish these steps via the link in the email.

After successful onboarding, you’ll be eligible to start on upcoming projects as they become available.

Join us to help shape the machine learning expertise of the world’s most advanced AI models!

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