At a Glance
- Tasks: Shape the future of AI by training smarter models and optimising ML workflows.
- Company: Join 10x Team, connecting freelancers with leading AI labs.
- Benefits: Flexible freelance work, remote opportunities, and free access to AI Academy.
- Other info: Dynamic project demand; match with AI Lab projects based on expertise.
- Why this job: Make a direct impact on AI's understanding of complex ML operations.
- Qualifications: Experienced MLOps engineer with strong feedback and communication skills.
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 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
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.
Help shape the next generation of AI-driven machine learning operations—apply today!
Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week employer: 10x.Team
At 10x Team, we pride ourselves on being an exceptional employer for freelance Machine Learning Operations Engineers. Our flexible, project-based work allows you to leverage your expertise in a fully remote environment while making a tangible impact on the future of AI. With access to our AI Academy for professional development and a collaborative culture that values your insights, you'll find ample opportunities for growth and meaningful contributions to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week
✨Make Your Portfolio Shine
As a freelancer in software development, your portfolio is your bread and butter. Showcase not only your completed projects but also your coding skills on platforms like GitHub or GitLab. This visibility can lead to clients reaching out to you directly!
✨Join Developer Communities
Get involved in developer communities like Stack Overflow or Reddit's r/programming. Contributing to discussions, sharing your knowledge, or even helping others can expand your network and lead to freelance opportunities. Plus, it keeps you in the loop about what’s trending in software development.
✨Freelance Platforms Are Your Friend
Sign up for popular freelance platforms such as Upwork or Freelancer. They’re filled with people looking for talent like yours! Don’t forget to personalise your pitch to each potential client, highlighting how your unique skills can solve their specific problems.
✨Utilise Your Network
Don’t hesitate to reach out to your existing contacts - you never know who might need your services or can refer you to someone who does. Personal connections can lead to more reliable gigs than cold applications. And we're here to help too! If you're looking for freelance opportunities, check out opportunities listed on our website.
We think you need these skills to ace Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at 10x.Team, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects 10x.Team is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at 10x.Team.
How to prepare for a job interview at 10x.Team
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at 10x.Team. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at 10x.Team. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
