What Data Annotation Costs in 2026
Short answer: most data annotation companies publish no prices, so few figures can be checked. The one public hourly rate among the managed vendors we profile is about $6 per annotator hour for time-billed projects (Label Your Data), and one expert platform, DataAnnotation.tech, advertises pay of up to $75–$125+ per hour to the experts themselves. The single most common pricing confusion in this market is mixing up what annotators are paid with what clients are charged — this page keeps them separate.
What clients are charged (published figures)
- Per annotator hour, managed: about $6 per annotator hour for projects billed by time (Label Your Data, published pricing page, accessed November 9, 2026). This is the only public hourly rate card among the managed vendors we profile.
- Most vendors: 7 of the 9 companies in our comparison publish no prices at all — pricing is quote-only. Label Your Data publishes an hourly rate, and BasicAI lists its annotation platform from $6,600 a year while quoting its labeling services per project (BasicAI pricing page, accessed November 9, 2026). That is itself a finding: budget for a sales process, and convert every quote to a comparable unit before deciding.
What annotators and experts are paid (a different number)
- Expert platforms: DataAnnotation.tech advertises “expert rates of up to $75–$125+/hr,” with software-engineering roles listed at up to $150+ per hour (dataannotation.tech, accessed November 9, 2026). Outlier, Scale AI’s expert platform, lists example expert roles at up to $15–$50 per hour (outlier.ai/about-us, accessed November 9, 2026).
The gap between what clients are charged and what annotators are paid is the vendor’s margin: recruiting, training, QA, tooling, and profit. Neither number is “the price of annotation” on its own.
Why quotes vary so much
- Skill tier: commodity labeling vs. credentialed experts (medicine, law, finance, PhD-level).
- Modality: image bounding boxes are cheap; video, 3D/LiDAR, and sensor-fusion work is not.
- QA depth: single-pass labeling vs. consensus + expert review multiplies cost per accepted label.
- Geography and workforce model: where annotators sit, and whether they are employees or contractors, drives both price and compliance exposure.
Comparing live quotes? Normalize them to cost per accepted label at your accuracy threshold — that is the only unit every vendor can be held to. Or request a shortlist and the desk will structure the comparison for your project.