Service 02

Data annotation & labelling

Create clean, consistent labels across text, image, audio, video and structured datasets.

Discuss a project

Suitable inputs

Formats and project types

Text and conversationImage and videoAudio and transcriptionStructured recordsExisting datasets for correction

Contributor profile

Qualification follows the task.

Language proficiency Domain knowledge Visual or audio attention Tool-specific training

Managed workflow

From brief to reviewed delivery.

01Inspect source data
02Define taxonomy and edge cases
03Pilot and calibrate
04Annotate in controlled batches
05Review, correct and export

Quality controls

Designed into the programme—not inspected in at the end.

1

Schema validation

2

Consensus or review sampling

3

Hidden quality tasks

4

Edge-case escalation

5

Version-controlled guidance

Questions, answered

Questions about data annotation & labelling.

If your question is project-specific, include it in your consultation request and we’ll address it directly.

Which annotation tools do you support?

We can work in a client-provided environment or agree a suitable tool during scoping. Tool access and data handling are documented before onboarding.

Can you improve an existing dataset?

Yes. We can audit a sample, identify recurring failure modes and run targeted correction or relabelling.