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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 - 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 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 employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mechanical Engineering - AI Data Trainer
✨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 online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in fluid dynamics, thermodynamics, and all that jazz. Engage with relevant content and connect with industry professionals to boost your visibility.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by brushing up on common technical questions related to FEA, CAD, and material science. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about working with cutting-edge AI projects. Don’t forget to complete your AI interview and application steps to stand out from the crowd!
We think you need these skills to ace Mechanical Engineering - AI Data Trainer
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 match the job description, so don’t hold back!
Show Off Your Writing Skills: Since analytical writing is key for this role, include examples of your technical writing in your application. We love clear and concise communication, so make sure your writing reflects that!
Be Detail-Oriented: Pay close attention to detail in your application. Double-check for any typos or errors, especially in technical terms. We appreciate precision, and it’s a great way to show us you care about quality.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. 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 impress the interviewers. Familiarise yourself with basic AI principles and think about how your engineering skills can contribute to refining AI reasoning.
