At a Glance
- Tasks: Lead the creation of complex reasoning traces for advanced AI models.
- Company: Join Alignerr, a leader in AI research and development.
- Benefits: Earn $60–$80/hour with flexible remote work options.
- Other info: Enjoy freelance perks like autonomy and global collaboration.
- Why this job: Work on cutting-edge AI projects and make a real impact.
- Qualifications: Experience in Machine Learning and strong problem-solving skills required.
The predicted salary is between 50 - 66 £ 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.
Organization: Alignerr
Position: Senior Machine Learning Engineer - AI Data Trainer
Type: Hourly Contract
Compensation: $60–$80 /hour
Location: Remote
Commitment: 10–40 hours/week
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
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Senior Machine Learning Expert in Edinburgh employer: Alignerr
Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Expert in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Join relevant forums, attend webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and reasoning traces. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you approach complex tasks and document your reasoning. Practice explaining your thought process clearly, as this is key for roles focused on model reasoning.
✨Tip Number 4
Don’t forget to apply through our website! We review applications daily, so getting your application in early can give you an edge. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Machine Learning Expert in Edinburgh
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: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 engaging and personal.
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 reasoning, so don’t hesitate to break down your thought process and decision-making steps.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
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 in a structured way.
✨Showcase Your Experience
Prepare specific examples from your work that highlight your ability to decompose complex tasks into clear steps. This is crucial for the role, so think about how you can demonstrate your expertise in data annotation and evaluation systems.
✨Ask Smart Questions
During the interview, don’t hesitate to ask insightful questions about Alignerr's projects and their approach to AI training. This shows your genuine interest and helps you understand if the company aligns with your career goals.
✨Be Ready to Collaborate
Since this role involves mentoring and reviewing others' work, be prepared to discuss your collaborative experiences. Highlight how you've worked with teams in the past and how you can contribute to a positive team dynamic at Alignerr.
