AI JobsStart a program

AuraOne / Human Data / Annotation

Annotation

Create, rank, and correct training examples with the judgment attached.

Every dataset starts from an explicit task and rubric. Uncertain work goes to review. Quality, rights, and delivery records leave with it.

Brief a Annotation programSee Human Data
Design partnerAvailability is scoped around a real program brief.

Annotation review field

Source to reviewed delivery
Workflow overview
Annotation review fieldAn animated operating field showing qualified people entering defined work, passing through a visible quality review, and becoming a delivery record with evidence attached.Qualifiedrecord 01Qualifiedrecord 02Reviewerrecord 03Source examplesTask and rubricReview itemsAttach evidenceAdjudicationExport manifestDataset releaseReview record
Source examplesItem workAdjudicationDataset release

Input, work, and output

Input

What you provide

  • Source examples, task instructions, and the rubric.
  • Modality and usage rights.
  • Required expertise and the quality threshold to clear.
  • Escalation rules and the delivery format.

Work

What happens

  • Calibrate reviewers, then label or rank the examples.
  • Run quality checks and adjudicate the disagreements.
  • Retain rubric versions, reviewer actions, and exception decisions.

Output

What you receive

  • Accepted examples in the requested schema and file format.
  • A quality summary and the adjudication log.
  • The rights record and the delivery manifest.

Decision flow

Move from intake to review and handoff with clear owners at every step.

  1. 01

    Define and calibrate

    Confirm the instructions and the rubric. Confirm reviewers are ready before production.

    Task version and calibration result

  2. 02

    Create the examples

    Label it, rank it, or correct it. Always against the approved task.

    Item-level action and reviewer identity

  3. 03

    Review and adjudicate

    Check quality, resolve disagreements, and retain exception decisions.

    Quality sample and adjudication log

  4. 04

    Approve delivery

    Validate the schema and the rights. Check thresholds and manifest before handoff.

    Delivery approval and signed manifest

What you receive

Annotation deliverables

Task definition
Annotation type and modality, with the rubric and examplesVersioned instruction set
Reviewer readiness
Required expertise and calibration resultWorkforce qualification record
Quality result
What was sampled, what was disputed, and how it resolvedQuality workflow
Delivery manifest
Schema and file count. Rights, exclusions, and approval.Export and release gate

What the workflow supports

What the workflow supports.
OutcomeWorkWhat you receiveProgram fit
Training-ready datasetExpert annotation, review, and adjudicationThe rubric, every item action, and the manifestQuality claims apply to the approved sample method and task definition.