At a Glance
- Tasks: Design and develop complex 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 enhance your engineering skills.
- Qualifications: Masters or PhD in Electrical Engineering or related field required.
- Other info: Enjoy freelance perks like autonomy and global collaboration.
The predicted salary is between 28 - 48 £ 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 | 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 Christchurch employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Electrical Engineering - AI Data Trainer in Christchurch
✨Tip Number 1
Network like a pro! Reach out to folks in the electrical engineering and AI fields on LinkedIn. Join relevant groups, participate in discussions, and don’t be shy about asking for advice or insights. You never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge. Since you’ll be dealing with complex problems, practice explaining your thought process clearly. Mock interviews with friends or mentors can help you articulate your expertise confidently.
✨Tip Number 3
Showcase your skills through a portfolio! Create a collection of your best work, including projects related to circuit analysis or signal processing. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get noticed by our team. Plus, we review applications daily, so you’ll be in the running for that Electrical Engineering - AI Data Trainer role in no time!
We think you need these skills to ace Electrical Engineering - AI Data Trainer in Christchurch
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in electrical 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 the details in your application. Double-check for any typos or errors, especially in technical terms. We appreciate precision, and it shows you care about the quality of your work.
Apply Through Our Website: To make sure your application gets seen, apply directly through our website. It’s quick and easy, and we review applications daily, so you won’t be left waiting long!
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.
✨Showcase Your Writing Skills
Since analytical writing is key for this role, prepare to demonstrate your ability to communicate complex ideas clearly. Bring examples of your previous work or even draft a short technical explanation of a concept relevant to the job to share during the interview.
✨Prepare for Technical Audits
Expect to be asked about how you would evaluate AI-generated outputs. Think about the standards you would apply, such as IEEE or NEC, and be ready to discuss how you would ensure accuracy and safety in your assessments.
✨Be Ready to Problem-Solve
You might be presented with a complex engineering problem during the interview. Practice breaking down problems into manageable parts and explaining your thought process. This will highlight your analytical skills and your approach to refining AI reasoning.