AI Workforce · 03 / DOPS
Managed Data Annotation, Content Moderation & Crowd Operations
Managed task-based AI operations: labeling, annotation, LLM training support, content moderation, transcription, translation and QA — with sourcing, onboarding, payments and reporting handled end to end.
The problem
Not every need is a hire. Many teams need repeatable work completed at quality and throughput — labels, reviews, moderation decisions, translations — without managing every contributor.
The outcome
Managed output and surge capacity, measured on quality and throughput instead of headcount.
Capabilities
- 01 Data labeling and annotation
- 02 LLM training support
- 03 Content moderation
- 04 Transcription and translation
- 05 Image, text, audio and video review
- 06 QA review layers & surge operations
- 07 Multilingual task execution
Best fit
- Teams that want outcomes and throughput, not individual hires
- Programs needing multilingual coverage and QA layers
- Bursty workloads that need surge capacity on demand
Engagement protocol
Start small. Then scale.
- 01
Transmit one need
Share one role, one evaluation workflow or one task package. Nothing more is required to begin.
- 02
We map the route
We match the need to the right delivery model and confirm feasibility, quality bar and coverage.
- 03
Focused pilot
We start with a first role, sprint or task package — small enough to prove fit fast.
- 04
Calibrate & scale
Review results together, tune quality, then scale the model that works.