Freelance | 8–20 hrs/week | Remote (EU/UK)
Are you an experienced ML Engineer eager to apply your expertise in a new and impactful way? Do you have 8 to 20 hours per week available to contribute alongside your current projects or employment?
We are looking for top-tier machine learning professionals based in the EU or UK to help improve advanced AI systems.
What you’ll be doing
We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to enhance large AI systems.
Your role is hands-on and high impact. You will:
- 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
In simple terms:
You will assess and improve AI generated content by ensuring it reflects the reality of ML engineering practices and challenges.
This is not a traditional engineering role. Instead of building models for individual use cases, your expertise will guide how AI systems understand and reason about ML topics at scale. Your feedback will directly improve how AI performs for technical users worldwide.
Who this is for
You are:
- 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
This role is fully remote and flexible, ideal alongside your existing professional commitments.
Why join
- Flexible, part-time hours
- Fully remote opportunity
- Apply your ML expertise to advance the field of AI
- Contribute to the performance of widely used AI systems
- Clear scope and structured onboarding
- Potential for long-term collaboration based on performance
Screening 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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