Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create structured reasoning traces for AI models and document decision-making processes.
- Company: Join Alignerr, a leader in AI research and innovation.
- Benefits: Earn $50–$70/hour with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and enhance your skills in machine learning.
- Qualifications: Background in Machine Learning or Computer Science; strong analytical and writing skills.
- Other info: Enjoy freelance perks like autonomy and global collaboration opportunities.
The predicted salary is between 39 - 52 £ per hour.
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project focuses on capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making to create data that trains models to reason more reliably in real-world scenarios.
Location: Remote
What You’ll Do:
- Author clear, structured reasoning traces for complex technical tasks.
- Document step-by-step planning and decision-making processes.
- Create training data that demonstrates effective tool use in real-world logic.
Requirements:
- Background in Machine Learning, Computer Science, or a related technical field.
- Ability to articulate complex logical steps and technical reasoning in writing.
- Strong analytical skills to evaluate and improve AI decision-making workflows.
Preferred:
- Prior experience with data annotation, data quality, or evaluation systems.
Why Join Us:
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process:
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Machine Learning Engineer - AI Data Trainer employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - AI Data Trainer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or other platforms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data annotation or AI training. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and reasoning skills. Practice explaining complex concepts clearly, as this is key for roles like the Machine Learning Engineer position.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Engineer - AI Data Trainer
Some tips for your application 🫡
Craft a Clear Resume: Make sure your resume highlights your background in Machine Learning or Computer Science. We want to see your relevant experience and skills, so tailor it to show how you can contribute to our AI projects.
Showcase Your Writing Skills: Since you'll be authoring structured reasoning traces, it's crucial to demonstrate your ability to articulate complex ideas clearly. Include examples of your writing that reflect your analytical skills and technical reasoning.
Highlight Relevant Experience: If you've got prior experience with data annotation or evaluation systems, make it stand out! We love seeing how your past work aligns with what we do at Alignerr, so don’t hold back on those details.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application is in the right hands!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and the latest trends in AI. Be ready to discuss your background in detail, especially any relevant projects or experiences that showcase your skills in data annotation and reasoning.
✨Show Your Writing Skills
Since the role involves authoring clear, structured reasoning traces, be prepared to demonstrate your writing abilities. Bring examples of your previous work or even prepare a short piece that illustrates how you articulate complex logical steps.
✨Think Like an AI Trainer
Familiarise yourself with the process of creating training data for AI models. Understand how effective tool use and decision-making can impact AI performance. This will help you answer questions about improving AI workflows during the interview.
✨Ask Smart Questions
Prepare thoughtful questions about Alignerr's projects and their approach to AI training. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!
