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- Tasks: Create structured reasoning traces and training data for cutting-edge AI models.
- Company: Leading AI technology firm at the forefront of advancements.
- Benefits: Competitive pay of $50–$70 per hour and flexible hours.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong background in machine learning or computer science required.
- Other info: Potential for contract extension with flexible commitment.
The predicted salary is between 39 - 55 £ per hour.
A leading AI technology firm is seeking a Machine Learning Engineer - AI Data Trainer to create structured reasoning traces and training data for AI models. The role involves documenting planning and evaluation processes, and requires a strong background in machine learning or computer science.
This is an hourly contract position with competitive pay of $50–$70 per hour and a flexible commitment of 10–40 hours per week, offering the potential for contract extension. Join a team at the forefront of AI advancements.
Remote ML Engineer — AI Data Trainer (Reasoning Traces) in Oxford 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 Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and problem-solving techniques. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance at landing that dream role. Plus, it’s super easy!
We think you need these skills to ace Remote ML Engineer — AI Data Trainer (Reasoning Traces) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Since this role involves creating structured reasoning traces, make sure to mention any specific tools or technologies you’re familiar with. We’re keen to know how you can contribute to our AI advancements!
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 don’t miss out on any important updates from our team!
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 structured reasoning traces. This will show your depth of knowledge and practical experience.
✨Showcase Your Documentation Skills
Since the role involves documenting planning and evaluation processes, prepare examples of your previous documentation work. Highlight how your documentation has improved project outcomes or team collaboration.
✨Prepare for Technical Questions
Expect technical questions related to AI and data training. Practice explaining complex concepts in simple terms, as this demonstrates your understanding and ability to communicate effectively with non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company’s AI advancements. Inquire about their current projects or future goals, which can help you gauge if it’s the right fit for you and shows your enthusiasm for the role.
