10x Team
AI
MachineLearningOperationsEngineer-AITrainer-Freelance-8-20hrs/week-Remote
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote at 10x Team. Skills: Machine learning operations, MLOps, AI Trainer. 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”
What You'll Achieve.
Ensure AI-generated workflows, deployment processes, and decision-making are accurate, relevant, and grounded in industry best practices; Directly influence how AI understands, reasons, and advises on effective, nuanced ML operations strategies
Industry & Context.
Identify gaps or flawed assumptions in AI outputs
Based in the EU or UK
What They're Looking For.
Must Have
Experienced MLOps engineer or manager with a 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, Skilled at providing direct, constructive feedback, Available 8–20 hours per week, Reliable in communications
What You'll Do.
Review and enhance AI-generated content on machine learning operations
and workflow optimization
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
How You'll Work.
Team & Collaboration
Ongoing collaborative opportunities
Communication Scope
Reliable in communications
Full Job Description
Updated: 18 May 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Job Title: Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote Job Description: Freelance | 8–20 hrs/week | Remote (EU/UK) 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 o
Applying for this Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about 10x Team?
Real rants from real employees. Read before you apply.