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- Tasks: Lead the creation of complex reasoning traces for advanced AI models.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn competitive pay with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and make a real impact.
- Qualifications: Experience in Machine Learning and strong problem-solving skills.
- Other info: Enjoy freelance perks like autonomy and global teamwork.
The predicted salary is between 39 - 52 ÂŁ per hour.
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
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Senior Machine Learning Engineer - AI Data Trainer in Glasgow 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 Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to LLMs and reasoning tasks. We want to see how you tackle complex problems and document your thought process.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common machine learning scenarios and being ready to discuss your approach to data strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Machine Learning Engineer - AI Data Trainer in Glasgow
Some tips for your application 🫡
Craft a Tailored 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!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing clear, logical steps that demonstrate your reasoning abilities—this is key for the role!
Highlight Relevant Experience: If you’ve got experience with data annotation or LLM evaluation, make it stand out! We’re looking for candidates who can bring that expertise to our team, so don’t hold back.
Apply Through Our Website: We encourage you 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!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your machine learning knowledge, especially around model reasoning and LLMs. Be ready to discuss your past projects and how you've tackled complex problems in a structured way.
✨Showcase Your Mentoring Skills
Since the role involves mentoring others, think of examples where you've guided teammates or reviewed their work. Highlight how you ensured clarity and quality in documentation, as this will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect some deep dives into technical methodologies, especially around data strategies and evaluation systems. Practise explaining your thought process clearly, as they’ll want to see how you approach intricate decision-making scenarios.
✨Bring Your A-Game to Problem-Solving
Be ready to demonstrate your problem-solving skills live. You might be asked to break down a complex task or evaluate a model's performance. Show them how you can decompose issues logically and document your reasoning effectively.
