At a Glance
- Tasks: Solve complex ML problems and document your reasoning to train AI models.
- Company: Join Alignerr, a leader in AI research with a collaborative spirit.
- Benefits: Fully remote, flexible hours, and the chance to work on groundbreaking AI projects.
- Other info: Gain hands-on experience with cutting-edge AI technologies and potential for ongoing work.
- Why this job: Make a real impact in AI reasoning while enjoying freelance autonomy.
- Qualifications: Background in Machine Learning or Software Engineering; strong critical thinking skills.
The predicted salary is between 40 - 60 £ per hour.
About The Role
What if your machine learning expertise could directly shape how the next generation of AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by demonstrating expert-level problem-solving - step by step, in real time. This isn't a typical ML role. You won't be tuning hyperparameters or deploying pipelines. Instead, you'll be producing the high-quality reasoning data that teaches AI models how to think like a skilled engineer - strategically, systematically, and reliably. This is a fully remote - flexible contract role. Work on your own schedule, as much or as little as fits your life.
What You'll Do
- Tackle sophisticated ML and engineering problems while documenting your reasoning process in clear, structured logs.
- Record sequential decision-making workflows - how you strategize, select tools, and arrive at solutions.
- Produce high-quality training data that shows AI models how expert engineers approach complex technical challenges.
- Audit and refine AI-generated reasoning steps for logical soundness and technical accuracy.
- Demonstrate proficient tool selection and use across realistic problem scenarios.
- Work independently and asynchronously - entirely on your own schedule.
Who You Are
- Professional background in Machine Learning, Software Engineering, or a related technical discipline.
- Able to articulate complex reasoning clearly - you can explain not just what you did, but why.
- Strong critical thinker who can identify gaps or errors in logical workflows.
- Methodical and detail-oriented - you naturally document your thinking as you work.
- Comfortable working independently on open-ended technical tasks.
- Master's Degree or PhD in a relevant field.
Nice to Have
- Experience with data annotation, data quality evaluation, or AI training pipelines.
- Prior work in AI research, model evaluation, or RLHF-adjacent projects.
- Familiarity with LLMs and how they're trained or fine-tuned.
- Background in applied ML, NLP, or reasoning systems.
Why Join Us
- Work directly with leading AI research labs on frontier model development.
- Fully remote and flexible - structure your work around your life, not the other way around.
- Meaningful, intellectually stimulating work at the cutting edge of AI reasoning research.
- Gain rare, hands-on exposure to how large language models are trained and improved.
- Freelance autonomy with the satisfaction of contributing to genuinely impactful AI work.
- Potential for ongoing work and contract extension as new projects launch.
Remote ML Reasoning Engineer (Contract) in Cambridge employer: Alignerr
Alignerr is an exceptional employer for those seeking to make a significant impact in the field of AI. With a fully remote and flexible work environment, you can tailor your schedule to fit your lifestyle while engaging in intellectually stimulating projects that shape the future of AI reasoning. The opportunity for freelance autonomy, combined with the potential for ongoing work and collaboration with leading AI research labs, makes Alignerr a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote ML Reasoning Engineer (Contract) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions. You never know who might have a lead on that perfect remote role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your problem-solving process and any projects you've worked on. This is your chance to demonstrate how you think like an expert engineer, which is exactly what they're looking for.
✨Tip Number 3
Prepare for interviews by practising your reasoning explanations. Be ready to articulate not just what you did, but why you made those choices. This will help you stand out as a critical thinker who can tackle complex challenges.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in working with us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Remote ML Reasoning Engineer (Contract) in Cambridge
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your machine learning and engineering background in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience and any relevant projects you've worked on.
Be Clear and Structured:Since this role involves documenting your reasoning process, it’s crucial to present your thoughts clearly. Use structured logs in your application to demonstrate how you approach problem-solving. This will give us a taste of your methodical thinking!
Explain Your Thought Process:We’re not just interested in what you did, but why you did it. When detailing your past experiences, make sure to articulate your decision-making process. This will help us understand your critical thinking skills and how you tackle complex challenges.
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 ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Alignerr
✨Understand the Role
Before your interview, make sure you fully grasp what a Remote ML Reasoning Engineer does. Familiarise yourself with the unique aspects of this role, especially the focus on producing high-quality reasoning data and documenting your thought process. This will help you articulate how your skills align with their needs.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples from your past work where you've tackled complex ML or engineering problems. Be ready to explain not just what you did, but why you chose certain strategies and tools. This will demonstrate your critical thinking and methodical approach.
✨Demonstrate Clear Communication
Since the role requires articulating complex reasoning clearly, practice explaining your thought processes in a structured manner. You might even want to do a mock interview with a friend to refine how you present your ideas. Clarity is key!
✨Familiarise Yourself with AI Models
Brush up on your knowledge of large language models (LLMs) and their training processes. Being able to discuss these topics confidently will show that you're not only technically proficient but also genuinely interested in the field of AI reasoning research.
