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- Tasks: Lead the creation of high-fidelity reasoning traces for advanced AI models.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Enjoy competitive pay, flexible remote work, and freelance perks.
- Why this job: Work on cutting-edge AI projects and make a real impact.
- Qualifications: Experience in Machine Learning with strong problem-solving skills.
- Other info: Dynamic team environment with potential for contract extension.
The predicted salary is between 39 - 52 ÂŁ per hour.
At Alignerr, we partner with world‑leading AI research teams to build and train cutting‑edge models. This project focuses on 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).
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team on cutting‑edge AI projects.
- Exposure to advanced LLMs and training processes.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (15‑20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered.
Senior Machine Learning Engineer - AI Data Trainer in Cambridge 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 Cambridge
✨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 that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and data strategies. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex tasks in the past, as this will resonate with the role's focus on reasoning and decision-making.
✨Tip Number 4
Don't forget to apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we review applications daily, so you won't be left hanging!
We think you need these skills to ace Senior Machine Learning Engineer - AI Data Trainer in Cambridge
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your experience in Machine Learning and model reasoning. We want to see how you've tackled complex problems, so don’t hold back on showcasing your skills!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving LLMs or data annotation, include them! We love seeing real-world applications of your expertise, so let us know what you've done.
Be Clear and Concise: When filling out your application, keep your answers clear and to the point. We appreciate structured responses that demonstrate your thought process, just like the reasoning traces we work with!
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 our review process quickly. We can’t wait to hear from you!
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 experiences in detail, particularly any complex problems you've tackled and how you documented your thought process.
✨Showcase Your Mentoring Skills
Since the role involves mentoring and reviewing others' work, think of examples where you've guided teammates or improved processes. Prepare to share how you ensure clarity and quality in documentation, as this will be key in your discussions.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your understanding of data strategies and evaluation methodologies. Practise explaining your approach to designing data strategies for LLMs, as well as any relevant experiences with data annotation or quality assurance.
✨Be Ready to Discuss Collaboration
This role is all about teamwork, so be prepared to talk about how you've collaborated on AI projects in the past. Highlight any experiences where you worked with diverse teams or contributed to global projects, as this will show you're a great fit for their remote work culture.
