At a Glance
- Tasks: Evaluate and improve AI-generated machine learning solutions while working on exciting projects.
- Company: Join Alignerr, a leader in AI innovation with a flexible, remote work culture.
- Benefits: Enjoy freelance autonomy, competitive pay, and the chance to shape cutting-edge AI technology.
- Other info: Fully remote role with opportunities for ongoing work and career growth.
- Why this job: Make a real impact on AI systems that influence the future of technology.
- Qualifications: Expertise in machine learning and experience with frameworks like TensorFlow and PyTorch.
The predicted salary is between 50 - 60 £ per hour.
About The Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code?
We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
This is a fully remote, flexible contract role.
Work asynchronously on your own schedule, from wherever you are.
No fixed hours, no meetings — just high-impact, expert work that matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote (UK-based)
- Commitment: Flexible, project-based
- What You\'ll Do
- Review and evaluate AI-generated machine learning code — including Python, Tensor Flow, Py Torch, and scikit-learn — for correctness, efficiency, scalability, and clarity
- Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
- Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
- Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
- Help set the quality bar for how AI understands and produces machine learning code
Who You Are
- Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deployment
- Hands-on experience with ML frameworks such as Tensor Flow, Py Torch, or scikit-learn
- Strong written communicator — able to explain complex ML concepts clearly and precisely
- Detail-oriented and rigorous — you catch what others miss and care about getting things right
- Self-motivated and comfortable working independently in an async environment
- Nice to Have
- 3–5+ years working on machine learning projects, pipelines, or MLOps
- Experience with model evaluation, cloud deployment, or production ML systems
- Bachelor\'s, Master\'s, or Ph D in Computer Science, Machine Learning, or a related field
- Background in data labeling, RLHF, or other AI training workflows
- Prior experience with code review or technical writing
- Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and top AI teams
- Fully remote and async — work when and where it suits you, with no minimum hour commitments beyond project needs
- Freelance autonomy with the structure of meaningful, task-based work
- Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
- High-performing contributors take on expanded responsibilities and lead new programs
- Potential for ongoing work and contract extension as new projects launch
- #J-18808-Ljbffr
Software Engineer – Machine Learning (AI Training) employer: Alignerr
Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer – Machine Learning (AI Training)
✨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 Software Engineer – Machine Learning (AI Training)
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at Alignerr, 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 Alignerr 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 Alignerr.
How to prepare for a job interview at Alignerr
✨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 Alignerr. 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 Alignerr. 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!
