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- Tasks: Lead the creation of complex reasoning traces for AI models and mentor fellow annotators.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $60-$80/hr with flexible remote work and freelance perks.
- Why this job: Work on cutting-edge AI projects and make a real impact in the tech world.
- Qualifications: Experience in Machine Learning and strong problem-solving skills required.
- Other info: Enjoy autonomy, flexibility, and potential for contract extension.
The predicted salary is between 40 - 53 ÂŁ per hour.
Join to apply for the Senior Machine Learning Engineer - AI Data Trainer role at Alignerr.
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 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.
Location: Remote
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 Oxford 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 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 that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and data strategies. 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 techniques. Practice explaining your thought process clearly; it’s all about showing how you tackle complex challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus our team reviews applications daily, so you won’t be left hanging for long.
We think you need these skills to ace Senior Machine Learning Engineer - AI Data Trainer in Oxford
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 your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Nail the Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for the Senior Machine Learning Engineer position. Keep it concise but impactful!
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 thinking, so don’t hesitate to break down your thought process in your written responses.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from our team!
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. This will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you break down complex tasks into manageable steps. Think of examples from your experience where you’ve had to document your reasoning process clearly. This is crucial for the role, so have a few solid examples ready to share.
✨Familiarise Yourself with Data Annotation
Since the role involves mentoring and reviewing structured traces, it’s important to understand data annotation and quality evaluation. Brush up on best practices and be prepared to discuss how you would ensure optimal documentation in your work.
✨Engage with the Team's Vision
Alignerr is all about cutting-edge AI projects, so show your enthusiasm for their mission. Research their recent work and be ready to discuss how your skills can contribute to their goals. This will help you stand out as someone who’s genuinely interested in being part of their team.
