At a Glance
- Tasks: Design challenging mechanical engineering problems and evaluate AI performance.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Fully remote, flexible hours, and freelance autonomy.
- Other info: Gain exposure to advanced AI training and evaluation.
- Why this job: Shape the future of AI with your engineering expertise.
- Qualifications: Master's or PhD in Mechanical Engineering or related field.
The predicted salary is between 30 - 40 £ per hour.
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. As a Mechanical Engineering Expert, your deep domain knowledge will directly shape how AI understands and reasons through complex engineering problems in fluid dynamics, thermodynamics, structural mechanics, and beyond. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — no AI background required.
What You'll Do
- Design Advanced Problems — Craft challenging mechanical engineering problems across domains including FEA, heat transfer, kinematics, and material science to rigorously test AI performance.
- Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation.
- Audit AI Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, safety, and compliance with standards like ASME and ISO.
- Refine Model Thinking — Identify and document reasoning failures such as incorrect force distributions, energy conservation violations, or flawed assumptions, and provide structured feedback to improve AI logic.
Who You Are
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Able to communicate complex physical phenomena and technical concepts clearly in written form.
- Meticulous attention to detail — especially when reviewing mathematical derivations, unit conversions, and physical constraints.
- No prior AI or data annotation experience required.
Nice to Have
- Prior experience with data annotation, quality evaluation, or technical review workflows.
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS.
- Experience reviewing or writing technical documentation to industry standards.
Why Join Us
- Work on cutting-edge AI projects in collaboration with top AI research labs.
- Fully remote and flexible — set your own schedule and workload.
- Freelance autonomy with the variety and stimulation of real engineering challenges.
- Gain direct exposure to how advanced large language models (LLMs) are trained and evaluated.
- Potential for ongoing work and contract extension.
Remote Mechanical Engineer for AI Training & Evaluation in Oxford employer: Alignerr Corp.
Alignerr is an exceptional employer for Mechanical Engineers looking to merge their expertise with the forefront of AI technology. With a fully remote and flexible work environment, you can tailor your schedule while engaging in stimulating engineering challenges that directly influence AI development. The opportunity for freelance autonomy, coupled with potential ongoing work, makes Alignerr a rewarding place for professional growth and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Mechanical Engineer for AI Training & Evaluation in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and mechanical engineering fields on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews — it’s all about making connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in mechanical engineering. Include projects related to fluid dynamics, thermodynamics, or any relevant software like SolidWorks or MATLAB. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss complex engineering concepts and how they relate to AI. Practise explaining your thought process clearly — communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Remote Mechanical Engineer for AI Training & Evaluation in Oxford
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your deep knowledge in mechanical engineering. We want to see how you can tackle complex problems in fluid dynamics, thermodynamics, and more. Use specific examples from your experience to demonstrate your skills!
Be Clear and Concise:When writing your application, clarity is key! We need to understand your thought process and technical concepts easily. Avoid jargon unless necessary, and keep your explanations straightforward and to the point.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Mention how your background aligns with the role of Mechanical Engineering Expert and why you’re excited about working at the intersection of engineering and AI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important details. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Alignerr Corp.
✨Know Your Engineering Fundamentals
Brush up on your core mechanical engineering concepts, especially in fluid dynamics, thermodynamics, and structural mechanics. Be ready to discuss how these principles apply to real-world problems, as this will show your depth of knowledge and ability to communicate complex ideas.
✨Prepare for Problem-Solving Scenarios
Expect to tackle challenging engineering problems during the interview. Practice crafting solutions for scenarios related to FEA, heat transfer, and kinematics. This will not only demonstrate your technical skills but also your approach to problem-solving under pressure.
✨Showcase Your Attention to Detail
Since meticulousness is key in this role, be prepared to discuss examples where your attention to detail made a difference. Whether it’s reviewing mathematical derivations or ensuring compliance with standards, highlight your ability to catch errors and maintain high-quality work.
✨Communicate Clearly and Effectively
You’ll need to convey complex technical concepts clearly, so practice explaining your thought process out loud. Use simple language to describe intricate ideas, as this will reflect your ability to communicate effectively with both technical and non-technical audiences.
