Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and evaluate complex AI models while solving advanced data science challenges.
- Company: Leading AI training company with a focus on innovation and excellence.
- Benefits: Excellent compensation, flexible remote work, and collaboration with top AI research teams.
- Why this job: Join a cutting-edge team and make a real impact in the AI field.
- Qualifications: Master's or PhD in a related field with strong analytical skills.
- Other info: Unique opportunity for career growth in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI training company seeks a Data Scientist (Masters) - AI Data Trainer to work remotely on advanced AI model challenges. The role involves designing complex data science problems, creating rigorous solutions, and evaluating AI algorithms for accuracy.
Candidates should hold a Master's or PhD in a related field and possess strong analytic skills. Offering excellent compensation and flexibility, this is a unique opportunity to engage with top AI research teams.
AI Data Scientist: Training & Evaluation (Remote) in Cambridge employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist: Training & Evaluation (Remote) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to AI model challenges. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common data science problems and being ready to discuss your thought process during evaluations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Data Scientist: Training & Evaluation (Remote) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills that align with the AI Data Scientist role. We want to see how your background fits into the advanced AI model challenges we tackle.
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 expertise can contribute to our team. We love seeing genuine enthusiasm for the field.
Showcase Your Projects: If you've worked on any interesting data science projects, don’t hold back! Share them in your application. We’re keen to see your problem-solving skills in action and how you approach complex challenges.
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 with our top AI research teams.
How to prepare for a job interview at Alignerr
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and techniques in AI and data science. Be prepared to discuss specific algorithms, their applications, and any recent projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Since the role involves designing complex data science problems, think of examples where you've tackled challenging issues. Be ready to walk through your thought process and the solutions you implemented.
✨Prepare for Technical Questions
Expect to face technical questions that assess your analytical skills. Practice explaining your approach to evaluating AI algorithms and how you ensure accuracy in your work. Use clear examples to illustrate your points.
✨Engage with the Interviewers
Remember, interviews are a two-way street! Prepare thoughtful questions about the company's AI projects and team dynamics. This shows your genuine interest and helps you determine if it's the right fit for you.
