Snorkel AI Review: Remote Research Fellow Gigs & Pay

Snorkel AI is a frontier AI data lab with deep academic roots (Stanford AI Lab, 2019). It creates datasets, benchmarks, evals and custom data solutions for leading AI systems. Most of its openings are full-time corporate roles, but it also hires hourly Fellows — the contributor side we list here.

The flagship is the Research Fellow: a fellowship for PhD students and postdocs who build open benchmarks and evaluation environments, owning a project from the research question through public release, with a Snorkel researcher as co-advisor. It's genuine expert contribution, not routine labeling.

As a Fellow you design new ways to measure AI capabilities in your area of expertise — building benchmarks and evaluation environments that help shape how AI progress is judged. You set the direction, lead the development, and take the project through to a public release.

This is research-grade work: it suits people who can turn hard questions in their discipline into rigorous, reproducible evaluations, rather than those looking for simple task-based gigs.

The Research Fellow role pays an hourly rate from $85 to $165+ per hour, with actual pay based on skills, qualifications and experience. That's among the higher rates in AI-training work, reflecting the research credentials expected.

It's hourly contract work rather than salaried, so treat it as well-paid, flexible, project-based income. Confirm your rate and expected hours up front, as with any contract engagement.

You apply through Snorkel's careers board to the Fellow role. The screening is research-oriented — it's aimed at PhD students, postdocs and comparable experts — so expect to show the depth and judgment to lead a benchmark or evaluation project.

Because these are selective, research-grade roles, apply where you genuinely have the expertise. A Snorkel researcher co-advises Fellows, so there's real support, but the bar is high.

Snorkel AI is highly legitimate: an established, venture-backed company with a strong academic pedigree (Stanford AI Lab), a public research profile, and well-known enterprise work. The Fellow roles are posted on its official careers board with transparent hourly ranges. It doesn't charge contributors.

There's little to caveat on legitimacy. The practical limits are simply that these are selective roles and only a few are open at a time — so this is a high-quality but narrow opportunity rather than a deep, always-on gig pool.

Snorkel's Fellow work is an excellent fit for PhD students, postdocs and research-minded experts who want high-paying, flexible remote work that produces real, publishable output. If you can design rigorous evaluations in your field, it's some of the most rewarding work in this space.

It's not for generalists or those seeking simple, high-volume tasks: the roles are research-grade and selective, and the number open at any time is small.

Yes, if you qualify. Snorkel AI offers rare, well-paid ($85–$165+/hour), remote research-fellowship work from one of the most reputable labs in AI data, with real mentorship and publishable results. The only real limit is availability — few Fellow gigs are open at once, and they're selective.

If you're a PhD student, postdoc or research-grade expert, it's well worth applying when a Fellow role is open. Confirm your rate and hours up front and treat it as high-quality, flexible expert work.