Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop complex mechanical engineering problems to test AI performance.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $35–$60/hour with flexible remote work options.
- Why this job: Work on cutting-edge AI projects and refine advanced language models.
- Qualifications: Masters or PhD in Mechanical Engineering or related field required.
- Other info: Enjoy freelance perks like autonomy and global collaboration.
The predicted salary is between 26 - 44 £ per hour.
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. You’ll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
Organization
- Position: Mechanical Engineering - AI Data Trainer
- Type: Hourly Contract
- Compensation: $35–$60 /hour
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
- Technical Auditing: Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
- Analytical Writing: The ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
- Attention to Detail: High level of precision when checking mathematical derivations, unit conversions, and physical system constraints.
- No AI experience required.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
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.
Mechanical Engineering - AI Data Trainer in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mechanical Engineering - AI Data Trainer in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the mechanical engineering field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you to someone at Alignerr.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge. Since you'll be dealing with complex problems, make sure you can confidently discuss topics like fluid dynamics and thermodynamics. Practice explaining these concepts clearly, just like you would in your role.
✨Tip Number 3
Showcase your analytical writing skills! When you get the chance, share examples of your work that demonstrate your ability to communicate complex ideas effectively. This will help you stand out as a candidate who can create those 'golden responses' we’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, completing the AI interview and application steps quickly can give you an edge over other candidates.
We think you need these skills to ace Mechanical Engineering - AI Data Trainer in Oxford
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in mechanical engineering and any specific projects that align with AI data training. We want to see how your skills fit the role, so don’t be shy about showcasing your expertise!
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 in mechanical engineering makes you a perfect fit for this role. Keep it concise but engaging—let us know what excites you about working with us!
Show Off Your Analytical Writing Skills: Since we’re looking for someone who can communicate complex concepts clearly, include examples of your analytical writing in your application. Whether it’s a project report or a technical paper, let us see how you break down intricate ideas!
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. Plus, we review applications daily, so get yours in!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your mechanical engineering fundamentals, especially in areas like fluid dynamics and thermodynamics. Be ready to discuss specific problems you've solved in these domains, as this will show your expertise and confidence.
✨Showcase Your Writing Skills
Since analytical writing is key for this role, prepare to demonstrate how you can clearly communicate complex concepts. Bring examples of your previous work or even draft a short explanation of a technical problem and its solution to share during the interview.
✨Be Detail-Oriented
Attention to detail is crucial, so be prepared to discuss how you ensure accuracy in your work. You might want to mention specific instances where your precision made a difference, whether in mathematical derivations or technical audits.
✨Engage with AI Concepts
Even if you don't have direct AI experience, showing an understanding of how AI models work and how they can be trained will set you apart. Familiarise yourself with basic AI principles and think about how your engineering knowledge can contribute to refining AI reasoning.
