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- Tasks: Draft logical logs and generate training datasets for AI projects.
- Company: Leading AI research company at the forefront of technology.
- Benefits: Competitive pay of $50–$70 per hour and flexible hours.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Expertise in machine learning and critical thinking; Master's or PhD required.
- Other info: Remote work with flexible hours between 10–40 per week.
The predicted salary is between 39 - 56 £ per hour.
A leading AI research company is seeking a Machine Learning Engineer - AI Data Trainer to work remotely. This role involves drafting logical logs for AI projects and generating training datasets.
Ideal candidates will possess expertise in machine learning and critical thinking skills, with a Master's degree or PhD in a related field.
The position offers competitive compensation between $50–$70 per hour, with the flexibility of 10–40 hours per week. Join a team that's at the forefront of AI technology!
Remote ML Engineer — AI Data Trainer (Contract) in Edinburgh employer: Alignerr Corp.
Contact Detail:
Alignerr Corp. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — AI Data Trainer (Contract) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Join relevant forums, attend virtual meetups, and connect with professionals on LinkedIn. 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, especially those related to AI and 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 your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your thought process. We want to see how you tackle challenges, so think aloud during your interview!
✨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. So, get your application in and let’s get you on board!
We think you need these skills to ace Remote ML Engineer — AI Data Trainer (Contract) in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your machine learning expertise 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 experience!
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 perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Critical Thinking: In your application, give examples of how you've tackled complex problems in the past. We’re looking for candidates who can think critically and creatively, so don’t hold back on sharing your thought process!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our innovative team!
How to prepare for a job interview at Alignerr Corp.
✨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 drafting logical logs and generating training datasets.
✨Showcase Your Critical Thinking
Prepare examples that highlight your critical thinking skills. Think about challenges you've faced in AI projects and how you approached problem-solving. This will demonstrate your ability to think on your feet.
✨Familiarise Yourself with the Company
Research the company’s recent AI projects and their impact on the industry. Being knowledgeable about their work shows genuine interest and can help you tailor your responses during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the tools they use for data training or how they measure success in their AI projects. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
