Snorkel AI
Broad/Unclear specialization
Quick facts
- Company
- Snorkel AI
- Service type
- Data annotation / AI training data
- Specialties
- Image, Text, Healthcare, Finance, Maths, STEM
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- snorkel.ai
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Snorkel AI, founded by Stanford researchers, is a programmatic data development platform emphasizing weak supervision and labeling functions over human-labeled data at scale. Its flagship product, Snorkel Flow, lets ML teams encode domain knowledge as code to label large datasets. Recently it also offers Expert Data-as-a-Service with vetted subject-matter experts.
Key findings
Application Process: Two tracks — standard engineering/research hiring via careers page, and an Expert Network application for domain SMEs (lawyers, doctors, PhDs).<br><br>Assessments: Rigorous interviews for FTEs; for experts, credential verification and sample tasks in their domain.<br><br>Job Types / Expertise: ML research, platform engineering, forward-deployed engineers; on the expert side, specialist data annotation, evaluation, and SFT authoring.<br><br>Compensation: Competitive Bay Area salaries for FTEs; experts reportedly paid premium hourly contractor rates (comparable to Surge/Sepal).<br><br>Flexibility: Hybrid/remote for many FTE roles; experts are fully remote and project-based.<br><br>Challenges / Concerns: Expert Network is selective and task pipeline depends on customer projects; platform itself is aimed at enterprises, not gig workers.<br><br>Legitimacy: Well-established ($135M+ raised, Series C), enterprise customers, strong academic pedigree.
Conclusion
Snorkel AI is a legitimate, mature AI company whose core product reduces the need for manual labeling, but its expert network does hire qualified SMEs at competitive rates. Casual annotators without deep domain credentials will find little here. Technical professionals may find attractive FTE roles. As a vendor and employer it is clearly legitimate. For expert annotators, it is worth applying alongside Surge, Sepal, and Scale.