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- Tasks: Design and evaluate advanced electrical 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 model reasoning.
- Qualifications: Masters or PhD in Electrical Engineering; strong analytical writing skills.
- 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 embedded systems, signal processing, control systems and robotics, and engineering simulations—documenting every failure mode so we can harden model reasoning.
Organization: Alignerr | Position: Electrical 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 electrical engineering problems across domains like circuit analysis, power systems, signal processing, and electromagnetics 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 code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC).
- Refine Reasoning: Identify logical fallacies in AI reasoning and provide structured feedback to help the model improve its "thinking" process for engineering tasks.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as VLSI, control systems, telecommunications, or power electronics.
- Analytical Writing: The ability to communicate highly technical concepts clearly and concisely in written form.
- Attention to Detail: High level of precision when checking mathematical equations, circuit logic, and technical documentation.
- No AI experience required.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
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.
Electrical Engineering - AI Data Trainer in Edinburgh employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Electrical Engineering - AI Data Trainer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the electrical engineering field, especially those who work with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in circuit analysis or signal processing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and electrical engineering. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus our team reviews applications daily. The sooner you apply, the better your chances of landing that dream role!
We think you need these skills to ace Electrical Engineering - AI Data Trainer in Edinburgh
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in electrical engineering and any specific projects you've worked on. We want to see how your skills align with 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 makes you a perfect fit for the Electrical Engineering - AI Data Trainer position. Keep it concise but impactful!
Show Off Your Analytical Writing Skills: Since this role requires clear communication of complex concepts, include examples of your analytical writing in your application. Whether it's a project report or a technical paper, we want to see how you convey intricate ideas.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s quick and easy, and we review applications daily, so you won’t have to wait long to hear back from us!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your electrical engineering fundamentals, especially in areas like circuit analysis and signal processing. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can also apply it practically.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Practice explaining complex concepts clearly and concisely, as this role requires strong analytical writing skills. You might even want to prepare a few examples of problems you've solved in the past.
✨Showcase Your Attention to Detail
Since this position involves evaluating AI-generated outputs for accuracy, be ready to demonstrate your meticulousness. Bring examples of your work where precision was key, and explain how you ensured everything was up to standard.
✨Engage with the Team's Vision
Alignerr is all about pushing the boundaries of AI in engineering. Familiarise yourself with their projects and express genuine interest in how you can contribute. This shows that you're not just looking for a job, but are excited about being part of their mission.
