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
- You leave AI Trainer HQ and go to 10x Team’s own site.
- Apply to a listing
- Assessment
- 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
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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