Design the judgment
Define labels, boundary cases, language dependencies, evidence, abstention, escalation, and success measures.
Dataset curation & management
Annotation operations
Guidelines, workforce design, calibration, tooling, quality control, and adjudication for multilingual labeling.
The challenge
Annotation tasks that look obvious in one language often depend on culture, context, script, register, or a judgment that the guideline never made explicit.
We turn product concepts into language-aware instructions and examples, then test whether trained annotators can apply them consistently.
Operational data is used to refine the guideline, task design, staffing, and quality model throughout production.
How we work
Evidence first. Decisions visible. Knowledge transferred.
We adapt the depth and sequence to your product stage, language scope, and internal team.
Calibrate people and task
Pilot across languages, analyze disagreement, improve tooling and guidance, and certify readiness.
Operate with control
Monitor quality and throughput, audit samples, adjudicate cases, retrain, and manage version changes.
Typical outputs
What your team can use.
- Language-aware annotation guidelines
- Pilot, calibration, and certification results
- Quality-control and adjudication system
- Production reporting and change log
Keep exploring
Related dataset curation & management services.
Bring us the brief
Make annotation operations move.
Tell us what you are building, which languages matter, and where progress is blocked.
Start the conversation