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- Tasks: Lead the creation of complex reasoning traces for advanced AI tasks.
- Company: Join Alignerr, a leader in AI research and model training.
- Benefits: Earn $60–$80/hour with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and mentor others in the field.
- Qualifications: Experience in Machine Learning and strong problem-solving skills required.
- Other info: Enjoy freelance perks like autonomy and global collaboration.
The predicted salary is between 45 - 60 £ per hour.
About Alignerr
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.
What You'll Do
- Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
- Mentor and review structured traces to ensure optimal planning and tool-use documentation.
- Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.
Requirements
- Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
- Proven ability to decompose complex problems into clear, logical, and documented steps.
- Experience with advanced LLM evaluation and training methodologies.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.
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.
Senior Machine Learning Engineer - AI Data Trainer in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - AI Data Trainer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Join relevant forums, attend webinars, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings at Alignerr!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to LLMs and reasoning traces. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as you'll need to demonstrate your ability to decompose problems into logical steps.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, and our team reviews applications daily. Completing your AI interview and application steps promptly will put you ahead of the game.
We think you need these skills to ace Senior Machine Learning Engineer - AI Data Trainer in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in Machine Learning and any relevant projects. 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: Use your cover letter to tell us why you’re passionate about AI and how your background makes you a great fit for the Senior Machine Learning Engineer position. Keep it engaging and personal – we love to see your personality shine through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for clear, logical reasoning, so make sure to break down your thought process and the steps you took to reach a solution.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it only takes 15-20 minutes!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around model reasoning and LLMs. Be ready to discuss your past projects and how you've tackled complex problems, as this will show your depth of knowledge.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you break down intricate tasks into manageable steps. Think of examples where you've documented your thought process clearly, as this aligns perfectly with what Alignerr is looking for.
✨Familiarise Yourself with Data Annotation
Since the role involves mentoring and reviewing structured traces, it’s crucial to understand data annotation and quality. Brush up on best practices and be ready to discuss any relevant experience you have in this area.
✨Highlight Your Competitive Edge
If you have notable achievements in Kaggle competitions, don’t hold back! Share your results and explain how they reflect your understanding of model performance and feature engineering. This can really set you apart from other candidates.
