Alignerr
Electrical Engineering

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Electrical Engineering
Electrical Engineering AI Trainer
About The Role
We're partnering with the world's leading AI research labs to make AI smarter — and we need real electrical engineers to do it. As an Electrical Engineering AI Trainer, you'll use your domain expertise to challenge, evaluate, and improve advanced AI models across core EE disciplines. Your work directly shapes how the next generation of AI reasons through complex technical problems.
This is a fully remote, flexible contract role—work on your own schedule, as much or as little as you want.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
- Design challenging problems—create advanced, domain-specific electrical engineering problems spanning:
- Circuit analysis
- Power systems
- Signal processing
- Electromagnetics
- And more—to rigorously test AI performance
- Author gold-standard solutions—write precise, step-by-step solutions that serve as the benchmark for AI learning and evaluation
- Audit technical accuracy—review AI-generated:
- Code
- Circuit diagrams
- Mathematical proofs
- Technical explanations for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
- Sharpen AI reasoning—identify flaws in AI logic and provide structured, expert feedback that directly improves how the model approaches engineering problems
- Document failure modes—record how and where AI models fall short so research teams can target specific weaknesses
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- Education: Pursuing or holding a Master's or PhD in:
- Electrical Engineering
- Electronic Engineering
- Or a closely related field
- Technical knowledge: Strong foundations in one or more core areas:
- VLSI
- Control systems
- Telecommunications
- Power electronics
- Embedded systems
- Signal processing
- Communication skills: Ability to clearly and concisely explain complex technical concepts in writing
- Attention to detail: Meticulous when reviewing:
- Equations
- Circuit logic
- Technical documentation
- Personal traits:
- Self-directed
- Comfortable working independently in an async environment
- AI experience: No prior AI experience required—your engineering expertise is what matters


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Nice to Have
- Experience with:
- Data annotation
- Technical writing
- Quality evaluation
- Familiarity with:
- Simulation tools (e.g., MATLAB, SPICE, etc.)
- Background in:
- Research or academic problem design
Why Join Us
- Work on some of the most technically challenging AI projects in the industry
- Fully remote and asynchronous—work from anywhere, on your schedule
- Freelance perks: autonomy, flexibility, and collaboration with experts globally
- Exposure to cutting-edge large language models and how they're trained
- Potential for ongoing work and contract extension
- Contribute to AI systems that will be used by engineers and researchers worldwide
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