Data labeling & annotation · Surge AI, Inc.
Surge AI
Human-data platform providing an expert labeling workforce and off-the-shelf RL environments for training and evaluating LLMs.
Surge AI is built around a managed, vetted human workforce rather than a self-serve annotation UI: customers submit labeling, ranking or reinforcement-learning-feedback tasks and Surge routes them to workers matched for the domain (technical, multilingual, expert-review), aimed primarily at LLM post-training and evaluation work such as RLHF, preference ranking and red-teaming. Alongside custom projects it offers off-the-shelf datasets and RL environments that can be purchased directly rather than commissioned. It positions itself as a data-quality-focused alternative to lower-cost crowdsourcing platforms, emphasizing worker vetting and quality control over a large, open marketplace. There is no self-hosted option and no public self-serve pricing; engagements are scoped and quoted per project.
At a glance
| Vendor | Surge AI, Inc. |
|---|---|
| Pricing model | Quote only |
| Free tier | — |
| Deployment | Cloud |
| Open source | No |
| Best for | Teams needing a high-quality managed workforce for RLHF, preference data or specialized/expert labeling tasks. |
Pricing
No public pricing found; projects are scoped and quoted individually, contact sales.
Pricing has not been verified yet — see the vendor's site.
Features
- Vetted, domain-matched human labeling workforce
- RLHF and preference-ranking data collection for LLMs
- Off-the-shelf datasets and RL environments for direct purchase
- Multilingual and expert/technical annotator pools
- Red-teaming and safety-evaluation task support
- Custom project scoping and quality-control processes
- Benchmark datasets for model evaluation
Profile last reviewed September 21, 2026