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- Tasks: Create structured reasoning traces for AI models and document decision-making processes.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $50–$70/hour with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and enhance your skills in a dynamic environment.
- 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
Organization: Alignerr
Type: Hourly Contract
Compensation: $50–$70 /hour
Commitment: 10–40 hours/week
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 in Edinburgh employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - AI Data Trainer in Edinburgh
✨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 machine learning and data annotation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common machine learning concepts and practical applications. We recommend practicing with friends or using mock interview platforms to build confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer - AI Data Trainer in Edinburgh
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 front and centre, so tailor it to show how you can contribute to our AI projects.
Showcase Your Writing Skills: Since the role involves documenting complex reasoning processes, it's crucial to demonstrate your ability to articulate technical concepts clearly. Use your application to showcase your writing style and clarity.
Highlight Relevant Experience: If you've got prior experience with data annotation or evaluation systems, make sure to mention it! We love seeing how your past work aligns with what we do at Alignerr, so don’t hold back.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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. Understand how LLMs work and be ready to discuss your technical background in detail. This will show that you're not just familiar with the field, but genuinely passionate about it.
✨Showcase Your Writing Skills
Since the role involves authoring clear, structured reasoning traces, prepare to demonstrate your writing abilities. Bring examples of your previous work or create a mock trace to showcase how you articulate complex logical steps and decision-making processes.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using AI. Think through potential scenarios where you might need to document planning and decision-making. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team’s projects or the tools they use. This shows your interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to learn more about how you can contribute effectively.
