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

Role overview

Qualifications

  • Senior-level machine learning engineer
  • Significant professional experience within the EU or UK
  • Experienced in advising on, preparing, and executing machine learning projects
  • Skilled at evaluating algorithms and compliance with specifications

Responsibilities

  • Review and refine AI-generated outputs related to machine learning
  • Evaluate AI responses for technical accuracy and practicality
  • Draft realistic ML scenarios based on your professional experience
  • Identify gaps or weak reasoning in AI-generated engineering content

About the company

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10x Team

Artificial Intelligence & Machine Learning Services

10x.team is the ultimate fractional and freelance platform for top-tier professionals who deliver 10x outcomes. We partner with ambitious companies and leading AI labs to deploy elite execution talent into high-impact missions; strengthening frontier AI models with real-world human expertise, structured reasoning, and professional judgment. AI doesn’t improve with more data. It improves with better expertise. We curate excellence. We prioritize outcomes. We move fast. * Ambitious: Built for scale. Works while you sleep. Data at its core. * Caring: Gives every candidate a fair shot - on their time, not ours. * Brave-hearted: Where others replace humans, we make them unstoppable. We don't automate people out of hiring. We supercharge them. Built for humans. Powered by AI. Based on Trust: EU-compliant & privacy by design. ** Top 100 hottest Europan startup Wired ** Featured in MT Sprout, Dutch Financial Times, De Financiele Telegraaf **

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

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Job description

Updated: 02 June 2026

Freelance | 8–20 hrs/week | Remote (EU/UK)

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.

About the Role
10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable machine learning engineers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered systems.

What You Will Do

  • 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.

Who You Are

  • 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

Why Join?

  • Flexible, fully remote freelance work that fits your current commitments

  • Apply your ML engineering expertise in a rapidly evolving, high-impact AI environment

  • Directly contribute to building advanced AI-powered engineering systems

  • Free access to our in-house AI Academy to further develop your AI skillset

  • Clear onboarding, structured tasks, and ongoing opportunities for collaboration

How to Apply:

After applying, you’ll receive an email detailing the steps to:

- Complete a short written assessment

- Participate in an AI-powered interview

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

Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.

Apply once. Then go straight to the hiring manager.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
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