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.
PS: 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 Birmingham employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mechanical Engineering - AI Data Trainer in Birmingham
✨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 put in a good word for you.
✨Tip Number 2
Get your hands dirty with some practical projects. Whether it's a personal project or contributing to open-source, showcasing your skills in real-world applications can make you stand out. Plus, it gives you something cool to talk about in interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely—this is key for roles like the AI Data Trainer where communication is crucial.
✨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, we review applications daily, so the sooner you apply, the better your chances!
We think you need these skills to ace Mechanical Engineering - AI Data Trainer in Birmingham
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in mechanical engineering and any specific projects that relate to AI or data training. We want to see how your skills align with what we do at Alignerr!
Show Off Your Writing Skills: Since analytical writing is key for this role, include examples of your technical writing. Whether it’s reports, papers, or even blog posts, let us see how you communicate complex ideas clearly.
Be Detail-Oriented: Pay close attention to the details in your application. Double-check for any typos or errors, especially in technical descriptions. We appreciate precision, and it reflects your approach to engineering!
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. We can’t wait to hear from you!
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.
✨Show Off 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 showcase your clarity and precision.
✨Be Detail-Oriented
During the interview, highlight your attention to detail. You might be asked about checking mathematical derivations or evaluating CAD logic, so be prepared to discuss how you ensure accuracy in your work. Mention any tools or methods you use to maintain high standards.
✨Prepare for Technical Audits
Familiarise yourself with common engineering standards like ASME and ISO. You may be asked to evaluate AI-generated outputs, so think about how you would approach this task. Discussing your thought process will show that you're ready to tackle the challenges of the role.
