Renewable Energy Engineer

Handshake's AI Fellowship roles are aimed at current students and people within about 1 to 2 years of graduating. If you graduated earlier, look at the other platforms on this board too.

For AI Fellowship roles, yes, Handshake is the employer of record. For other listings on Handshake, the employer is the company that posted the job.

It's closer to academic research. You write or check proofs, solve advanced problems and test the logic behind a model's step-by-step reasoning in your field.

The best-paid roles usually expect a PhD or current enrollment. The domain assessment decides, though, and if you can solve the problems the degree matters less.

You check AI answers to STEM questions, correct their errors and write expert reasoning. As a Renewable Energy Engineer, you're hired for that judgment, so hands-on STEM experience matters.

Coding is named directly in the listing. If you don't have hands-on experience with this, expect the screening to test for it.

This listing is posted at $80/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.

Apply opens Handshake's site, where you create an account and follow its sign-up steps.

For this role, yes, or similar professional depth, and the assessment checks it. PhD candidates and people with published research have qualified without the degree.

Some are. Handshake lists internships and separate "AI Trainer" fellowships. If the description says "1099" or "Contract", the role is freelance work.