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- 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 - 43 £ 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 such as fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
Organization: Alignerr | 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 such as 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: 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 (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.
Mechanical Engineering - AI Data Trainer in Cambridge employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mechanical Engineering - AI Data Trainer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the mechanical engineering field, especially those involved in AI. Use platforms like LinkedIn to connect and engage with them—ask questions, share insights, and show your enthusiasm for the role.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge. Since you'll be dealing with complex problems in fluid dynamics and thermodynamics, make sure you can discuss these topics confidently. Practice explaining your thought process clearly and concisely.
✨Tip Number 3
Showcase your analytical writing skills! Create a portfolio of technical documents or solutions you've authored. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨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, it shows you're serious about joining our team at Alignerr and working on those cutting-edge AI projects.
We think you need these skills to ace Mechanical Engineering - AI Data Trainer in Cambridge
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your advanced degree and relevant experience in mechanical engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in areas like fluid dynamics or CAD.
Show Off Your Writing Skills: Since analytical writing is key for this role, take the time to write clearly and concisely. We’re looking for candidates who can communicate complex concepts effectively, so include examples of your technical writing in your application.
Be Detail-Oriented: Attention to detail is crucial in our field. When you fill out your application, double-check for any errors or inconsistencies. We appreciate precision, especially when it comes to mathematical derivations and technical specifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the quickest way for us to receive your application, and we review them daily. Don’t miss out on this opportunity—get your application in today!
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 complex problems you've tackled in the past and how they relate to the role.
✨Showcase Your Writing Skills
Since you'll be authoring ground-truth solutions, it's crucial to demonstrate your ability to communicate technical concepts clearly. Prepare examples of your analytical writing that highlight your clarity and precision.
✨Familiarise with AI Concepts
Even though no AI experience is required, having a basic understanding of how AI models work can set you apart. Research how AI reasoning can fail and think about how you would provide feedback to improve it.
✨Ask Insightful Questions
Prepare thoughtful questions about the projects Alignerr is working on and the team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
