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- Tasks: Create structured reasoning traces and develop training data for AI projects.
- Company: Leading AI-focused company with a passion for innovation.
- Benefits: Competitive pay, flexible remote work, and potential for contract extension.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Background in Machine Learning or Computer Science and strong analytical skills.
- Other info: Opportunity to work on exciting projects with great career growth potential.
The predicted salary is between 13 - 16 £ per hour.
A leading AI-focused company is looking for a Machine Learning Engineer to author structured reasoning traces and create training data in a remote capacity.
Applicants should have a background in Machine Learning or Computer Science, strong analytical skills, and the ability to communicate complex reasoning in writing.
This hourly contract offers competitive pay and the flexibility to work on cutting-edge AI projects with the potential for contract extension.
Remote ML Engineer — AI Data Trainer (Reasoning Traces) in Edinburgh employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — AI Data Trainer (Reasoning Traces) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Machine Learning space on LinkedIn or relevant forums. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to structured reasoning and training data. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical skills and communication techniques. Practice explaining complex concepts in simple terms – it’s key for roles like this one!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can give you a better chance of landing that remote ML Engineer gig.
We think you need these skills to ace Remote ML Engineer — AI Data Trainer (Reasoning Traces) in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your background in Machine Learning or Computer Science. We want to see how your skills align with the role, so don’t hold back on showcasing your analytical prowess!
Communicate Clearly: Since the job involves writing complex reasoning, it’s crucial to demonstrate your ability to communicate these ideas clearly in your application. Use straightforward language and structure your thoughts logically.
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing applicants who take the time to connect their experiences directly to what we’re looking for in a Remote ML Engineer.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in AI projects.
How to prepare for a job interview at Alignerr
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you’ve applied these in past projects, especially in creating training data or structured reasoning traces.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical thinking. Think of situations where you solved complex problems or improved processes using data analysis. This will demonstrate your capability to handle the role effectively.
✨Communicate Clearly
Since the job requires writing complex reasoning, practice explaining your thought process clearly and concisely. You might be asked to describe a technical concept, so make sure you can break it down for someone who may not have a technical background.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and their approach to machine learning. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
