Vendor review · crowd annotation
Surge AI
A quality-first labeling and RLHF provider founded in 2020 — reported to have passed Scale in revenue in 2024.
Facts checked against primary sources on July 21, 2026.
- Reputation for annotation quality
- Strong for RLHF/text, with frontier-lab customers
- Labeling, not source licensing
- Limited media-licensing relevance
What Surge AI is
Surge AI provides human data labeling and RLHF with an emphasis on annotator quality, marketed as an “Expert Workforce”. Founded in 2020 by Edwin Chen, it labels for Google, OpenAI, and Anthropic. Reuters reported revenue surpassed $1B in 2024, exceeding Scale AI, and that in July 2025 the company was seeking its first external raise — about $1B at a valuation of up to $25B.
Modalities and languages they cover
Text-centric labeling and human feedback; some multimodal work.
Sourcing model
Human annotation and feedback from a vetted expert workforce.
Rights & provenance posture
Services model; rights are set per engagement. Not a source-licensed media marketplace.
Pricing
Services pricing; no public rate card.
Where Surge AI falls behind
Not a licensed-media source; buyers seeking owner-licensed audio/video look elsewhere.
Surge AI head-to-heads
Sources
Alternatives
Weighing fiund as one of the alternatives? Read how fiund compares to Surge AI — a first-party comparison that is explicit about where Surge AI wins.
Frequently asked questions
Is Surge AI rights-cleared for AI training?
Services model; rights are set per engagement. Not a source-licensed media marketplace.
What does Surge AI cost?
Services pricing; no public rate card.
What are the best Surge AI alternatives?
Depending on what you need, consider Appen, Scale AI, Shaip. fiund itself focuses on owner-licensed, rights-cleared audio and video sourced to brief.
Want data you can actually defend in diligence?
fiund licenses real-world audio and video at the source, with the rights cleared before anything moves.
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