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- Tasks: Build and train advanced AI models while documenting decision-making processes.
- Company: Leading AI technology firm with a focus on innovation.
- Benefits: Competitive pay, flexible hours, 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 and strong analytical skills required.
- Other info: Remote position with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology firm is seeking a Machine Learning Engineer - AI Data Trainer to help build and train advanced AI models. This remote position involves authoring structured reasoning traces for complex technical tasks and documenting decision-making processes.
Candidates should have a background in Machine Learning or a related field, possess strong analytical skills, and the ability to effectively communicate technical information in writing.
Competitive pay and flexible work hours are offered, with potential for contract extension.
Remote ML Engineer — AI Data Trainer (Reasoning Traces) in London 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 London
✨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 decision-making processes. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and be ready to discuss your thought process. We recommend practising 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 by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote ML Engineer — AI Data Trainer (Reasoning Traces) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your background in Machine Learning or any related field. We want to see how your skills align with the role, so don’t hold back on showcasing your analytical prowess!
Be Clear and Concise: When documenting your decision-making processes, clarity is key! We appreciate well-structured reasoning traces that are easy to follow, so keep it straightforward and to the point.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the ML Engineer position. We love seeing candidates who put in the effort to connect their experience with our needs.
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 this exciting opportunity. Plus, it’s super easy!
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 relation to training AI models. This will show your depth of knowledge and practical experience.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking. You might be asked to solve a problem on the spot or explain your reasoning process. Practise articulating your thought process clearly, as this is crucial for the role.
✨Communicate Clearly and Effectively
Since the job involves documenting decision-making processes, practice explaining complex technical information in simple terms. Use examples from your previous work to illustrate how you can communicate effectively with both technical and non-technical audiences.
✨Prepare Questions About the Role
Think of insightful questions to ask about the company’s AI projects and the team dynamics. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
