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AuraOne / Human Data / Annotation

Annotation

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

Each dataset starts from an explicit task and rubric, routes uncertain work to review, and leaves with quality, rights, and delivery records.

Brief a Annotation programSee Human Data
Available nowScoped around a real program brief.

Annotation review field

Source to reviewed delivery
Example workflow
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 releaseEvidence attached
Source examplesItem workAdjudicationDataset release

Input, work, and output

Input

What you provide

  • Source examples, task instructions, rubric, modality, and usage rights.
  • Required expertise, quality threshold, escalation rules, and delivery format.

Work

What happens

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

Output

What you receive

  • Accepted examples in the requested schema and file format.
  • Quality summary, adjudication log, rights record, and delivery manifest.

Decision flow

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

  1. 01

    Define and calibrate

    Confirm instructions, examples, rubric, and reviewer readiness before production.

    Task version and calibration result

  2. 02

    Create the examples

    Label, rank, write, correct, or evaluate according to 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 schema, rights, thresholds, and manifest before handoff.

    Delivery approval and signed manifest

What you receive

Annotation deliverables

Included
Task definition
Annotation type, modality, rubric, and examplesVersioned instruction set
Reviewer readiness
Required expertise and calibration resultWorkforce qualification record
Quality result
Sample review, disagreement, correction, and acceptanceQuality workflow
Delivery manifest
Schema, file count, rights, exclusions, and approvalExport and release gate

What the workflow supports

What the workflow supports.
OutcomeWorkWhat you receiveProgram fit
Training-ready datasetExpert annotation, review, and adjudicationRubric, item actions, quality record, and manifestQuality claims apply to the approved sample method and task definition.