ML Engineer AI Trainer Freelance 820 hrs week Remote

What you'll work on

• Review and refine AI generated outputs on a variety of machine learning and AI topics
• Evaluate responses for technical accuracy, ML best practices, and compliance with industry standards
• Draft realistic ML engineering scenarios, including model evaluation, deployment approaches, data pipeline design, scaling challenges, interpretability, and ethical considerations
• Create variations of the same scenario from different roles, such as ML engineer, data scientist, business stakeholder, or compliance advisor
• Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content
• Assess and improve AI reasoning around structured problem solving, edge cases, and application of theoretical concepts

What we're looking for

• A machine learning engineer, data scientist, or AI engineer with several years of hands-on experience
• Based in the EU or UK
• Experienced across the ML workflow: model development, evaluation, tuning, deployment and monitoring
• Comfortable identifying limitations in data, experimental design, model selection, fairness, or explainability
• Familiar with current ML frameworks, MLOps best practices, and ethical or AI governance standards
• Available 8 to 20 hours per week
• Able to start in the coming weeks

Interview process

The application process is straightforward and guided:

• Complete a short AI based interview
• Submit a brief written evaluation of ML reasoning
• Undergo a compliance check to verify your identity and professional background

If approved, you will be onboarded and can start shortly after.

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