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- Tasks: Lead the creation of complex reasoning traces for advanced AI tasks.
- Company: Join Alignerr, a leader in AI model training and innovation.
- Benefits: Earn $60–$80/hour with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and mentor others in the field.
- 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 50 - 66 £ per hour.
About Alignerr: 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 (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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Join relevant forums, attend webinars, or even slide into LinkedIn DMs. 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 data annotation. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice explaining complex concepts clearly and logically, just like you would when documenting reasoning traces. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus our team reviews applications daily. Completing your AI interview and application steps promptly can really boost your chances of landing that role.
We think you need these skills to ace Senior Machine Learning Engineer - AI Data Trainer
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: Use your cover letter to tell us why you’re passionate about AI and how your background makes you a great fit for the Senior Machine Learning Engineer position. Keep it engaging and personal – we love to see your personality shine through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for clear, logical reasoning, so make sure to break down your thought process and the steps you took to reach a solution.
Apply Through Our Website: Don’t forget 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. Plus, it only takes 15-20 minutes!
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 documented your thought process clearly. This is crucial for the role, so having a structured approach will impress the interviewers.
✨Highlight Your Mentoring Experience
Since mentoring is part of the job, be ready to talk about any experience you have in guiding others. Share specific instances where you’ve reviewed work or helped someone improve their skills. This shows you can lead and support a team effectively.
✨Be Ready for Technical Questions
Expect some technical questions related to LLM evaluation and training methodologies. Brush up on the latest trends and be prepared to discuss your Kaggle competition results if applicable. This will help you stand out as a candidate who’s not only knowledgeable but also actively engaged in the field.
