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- 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.
- Why this job: Work on cutting-edge AI projects and mentor fellow innovators.
- 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.
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.
- 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 London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Expert 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, 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 best projects, especially those related to LLMs and reasoning tasks. 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 technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely. Remember, they want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we review applications daily, so the sooner you apply, the better your chances of landing that dream role with us!
We think you need these skills to ace Senior Machine Learning Expert in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in Machine Learning and any relevant projects you've worked on. 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 make sure to detail your thought process and the steps you took to reach a solution.
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply through our website. It streamlines the process for us and helps you get noticed quicker. We can’t wait to see what you bring to the table!
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 having a structured approach will impress the interviewers.
✨Familiarise Yourself with Data Annotation
Since the job involves mentoring and reviewing structured traces, it’s important to understand data annotation and quality evaluation. Brush up on best practices in these areas and be ready to discuss any relevant experience you have.
✨Engage with the Team's Work
Before the interview, take some time to research Alignerr and their projects. Showing genuine interest in their work and how you can contribute will set you apart. Ask insightful questions about their methodologies and challenges they face in training LLMs.
