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- Tasks: Create and organise logical logs for AI training and problem-solving.
- Company: Join Alignerr, a leader in AI research and development.
- Benefits: Earn $50-$70/hr with flexible remote work and freelance perks.
- Why this job: Dive into cutting-edge AI projects and enhance your skills.
- Qualifications: Expertise in Machine Learning and strong critical thinking skills required.
- Other info: Entry-level position with potential for contract extension and global collaboration.
The predicted salary is between 39 - 55 £ per hour.
Join to apply for the Machine Learning Engineer - AI Data Trainer role at Alignerr. This role offers a pay range of $50.00/hr - $70.00/hr for an Hourly Contract based in a Remote setting, with a commitment of 10–40 hours per week. Your actual pay will depend on your skills and experience.
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice‑making, producing the data required to teach models to solve problems consistently in real environments.
What You’ll Do
- Draft precise, organized logical logs for sophisticated technical challenges.
- Record sequential strategizing and choice‑making workflows.
- Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements
- Professional expertise in Machine Learning, Engineering, or a technical discipline.
- Superb skill in explaining intricate logical processes and methodologies clearly.
- Critical thinking skills to audit and refine AI‑generated reasoning steps.
- Master’s Degree or PhD.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Master’s Degree or PhD.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting‑edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15‑20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Machine Learning Engineer - AI Data Trainer in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - AI Data Trainer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Machine Learning space on LinkedIn or at meetups. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data training. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and problem-solving scenarios. Practising with mock interviews can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus we review applications daily. The sooner you get your foot in the door, the better!
We think you need these skills to ace Machine Learning Engineer - AI Data Trainer in Oxford
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in Machine Learning and any relevant technical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your expertise!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in the past. We love seeing critical thinking in action, especially when it comes to AI and data-related tasks.
Be Clear and Concise: When drafting your application, clarity is key! Use straightforward language to explain your thought processes and methodologies. We appreciate a well-organised log that’s easy to follow.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the review process quickly. Plus, we check applications daily, so you won’t be left waiting long!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with AI models, data annotation, and any relevant projects you've worked on. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Communication Skills
Since the role involves explaining complex logical processes, practice articulating your thoughts clearly. You might be asked to explain a technical concept or your approach to a problem, so think about how you can break down intricate ideas into simple terms.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in AI training or data quality. Think of examples from your past experiences where you had to strategise or make decisions under pressure. This will demonstrate your critical thinking skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about Alignerr's projects or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
