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

10x TeamLegit · not rated yetPosted on 15 Mar 2026

Pay: $110–173/hrPosted as €102–160 per hour

Who can apply
Open only to people in United Kingdom
Hours
8–20 hrs/week · Freelance
Where
Remote, work from home
Job type
Expert (SME) review

At a glance: A freelance, remote expert (SME) review job with 10x Team. It pays $110–173/hr for 8–20 hours a week. Only people in United Kingdom can apply.

  • Ongoing · listed since 15 Mar 2026

    10x Team keeps this listing open to recruit all year. It is still open, but it isn’t a new opening.

What happens after you click Apply

  1. You leave AI Trainer HQ and go to 10x Team’s own site.
  2. Apply to a listing
  3. Assessment
  4. Onboarding

How this pay compares

This job pays more than 94% of the 205 other software engineering jobs on the board that state pay; 6% pay more.

This job
$141/hrMiddle of $110–173/hr
Median on 10x Team
$135/hrFrom 105 other paid jobs
Median in software engineering
$65/hrFrom 205 other paid jobs
How we compare pay

Requirements

Qualifications
  • Not specified in the listing
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

Updated: 07 July 2026

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

Job Title: Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

Job Description:

Are you a machine learning and operations expert interested in shaping the future of artificial intelligence? Do you want to use your expertise to help train smarter AI models—on your own terms and schedule? Join 10x Team as a Freelance Machine Learning Operations Engineer - AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows.

About Us:

10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning operations (MLOps) specialists based in the EU or UK to ensure AI-generated workflows, deployment processes, and decision-making are accurate, relevant, and grounded in industry best practices.

Key Responsibilities:

Review and enhance AI-generated content on machine learning operations, model deployment, and workflow optimization

Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations

Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience

Create multiple scenario variations reflecting perspectives of various ML operations roles, from engineers to stakeholders

Identify gaps or flawed assumptions in AI outputs and provide clear, actionable feedback

Your role will directly influence how AI understands, reasons, and advises on effective, nuanced ML operations strategies.

About You:

Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems

Based in the EU or UK

Demonstrated expertise in implementing and reviewing ML operations strategies, workflow automation, and operational excellence in machine learning

Highly organized and skilled at providing direct, constructive feedback

Available 8–20 hours per week and reliable in communications

Why Join 10x Team?

Flexible, project-based freelance work—100% remote

Use your machine learning operations expertise to help build better AI

Make a direct impact by shaping the AI’s understanding of complex ML workflows and deployment challenges

Free access to our AI Academy for professional upskilling

Structured onboarding, clear project briefs, and ongoing collaborative opportunities

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

Listing history

First seen on our board
(9 days ago)
Posted by 10x Team
Last checked
Source
Ashby

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