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- Tasks: Draft logical logs and generate datasets for innovative AI models.
- Company: Leading AI research company with a focus on cutting-edge technology.
- Benefits: Competitive hourly pay, flexible remote work, and potential contract extension.
- Why this job: Join a global team and work on groundbreaking AI projects with autonomy.
- Qualifications: Master's Degree or PhD in relevant field and strong critical thinking skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 39 - 54 £ per hour.
A leading AI research company is seeking a Machine Learning Engineer - AI Data Trainer with expertise in Machine Learning and critical thinking. The role focuses on drafting logical logs for complex technical challenges and generating datasets for AI models. Candidates should possess a Master's Degree or PhD. This flexible remote position offers competitive hourly pay ($50-$70) and the potential for contract extension. Join a team working on cutting-edge AI projects while enjoying autonomy and global collaboration.
Remote ML Engineer — AI Data Trainer (Contract) 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 (Contract) in London
✨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 machine learning and AI. This is your chance to demonstrate your expertise and critical thinking abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and problem-solving techniques. Practice explaining your thought process clearly, as this role requires logical reasoning for complex challenges. We want you to feel confident when discussing your approach!
✨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. Let’s get you on board for those exciting AI projects!
We think you need these skills to ace Remote ML Engineer — AI Data Trainer (Contract) in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight 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 hold back!
Be Clear and Concise: When drafting your application, keep it straightforward. Use clear language to explain your thought process and problem-solving abilities. We appreciate logical logs just as much as you do!
Tailor Your Application: Don’t send a generic application! Customise your CV and cover letter to reflect the specific requirements of the ML Engineer role. Show us why you’re the perfect fit for our team.
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!
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 drafting logical logs and generating datasets. This will show your depth of knowledge and critical thinking skills.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical technical challenges during the interview. Think through your approach to solving complex problems and be ready to articulate your thought process clearly. This demonstrates your analytical abilities and how you handle real-world scenarios.
✨Familiarise Yourself with AI Trends
Stay updated on the latest trends and advancements in AI and machine learning. Being able to discuss current developments shows your passion for the field and your commitment to continuous learning, which is crucial for a role focused on cutting-edge projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values, especially in a remote working environment.
