Prepare annotation batches
Prepare annotation batches using the current annotation batch and its supporting records.
ANNOTATION BATCH / GUIDELINE VERSION / REVIEW ITEM
AI agent for text and audio annotation providers
Keep every label tied to the same interpretation.
Prepare annotation batches, resolve label disagreements and deliver quality-checked annotations—carried through by an autonomous AI agent that adapts to your work.
A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.
Specialised AI agentYour own report presetNo connection needed to begin
Annotation batch workbenchSPECIALIST / 1056
YOUR SPECIALISED AI AGENT
One place for prepare annotation batches, resolve label disagreements, deliver quality-checked annotations.
MADE FOR YOUR WORKDAYStart with work already on your desk
Your first useful assignment.
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →YOU COULD ASK
“Complete the intent-label batch, resolve disagreements and deliver the labelled corpus with a transparent quality report.”
- Prepare annotation batches
- Resolve label disagreements
- Deliver quality-checked annotations
A useful first result
An editable annotation batch and review item register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
Complete the intent-label batch, resolve disagreements and deliver the labelled corpus with a transparent quality report.
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your annotation batch, guideline version, review item records, current commitments and the connected accounts used to resolve label disagreements.
- Prepare annotation batches
- Resolve label disagreements
- Deliver quality-checked annotations
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
- You · Text and audio annotation providers
Complete the intent-label batch, resolve disagreements and deliver the labelled corpus with a transparent quality report.
- Your AI agent · AI Agent Store
Two intents overlap in the current guide. I am reconciling the examples and rechecking the affected items against the clarified definitions.
Work in progress - You · Text and audio annotation providers
Preserve the original labels in the change log and identify which items were actually reviewed.
- Your AI agent · AI Agent Store
The corpus has versioned labels, documented adjudications and a quality report with its review population clearly stated. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved results
The details your specialist follows
Working records for text and audio annotation providers
Follow each annotation batch through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: changes in guideline version, missing review item evidence and unresolved annotation batch dependencies.
Illustrative working document · your records start empty
| Annotation batch | Dependency to follow | Evidence of completion |
|---|---|---|
| OPPORTUNITY030-104 | Prepare annotation batches | Label disagreements resolved |
| OPPORTUNITY030-118 | Resolve label disagreements | Reviewed items completed |
| OPPORTUNITY030-126 | Deliver quality-checked annotations | Annotation deadlines met |
Active annotation batch records3
Review samples across the planned work400 review samples
Outcomes with supporting evidence2
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
Built around the details that matter
Prepare annotation batches. With the right questions already in mind.
Text and speech dataset labelling, distinct from existing product-image annotation and transcription services.
Resolve label disagreements
Resolve label disagreements while keeping guideline version changes traceable.
Deliver quality-checked annotations
Deliver quality-checked annotations with checked review item evidence and editable working files.
ANNOTATION BATCH / GUIDELINE VERSION / REVIEW ITEM
A working brief for your AI agent.
Track transcript segments, label definitions, annotator decisions and adjudications. Preserve agreed confidentiality and access settings, and distinguish sampled quality estimates from review of every item. Your specialist maintains these working records in regular Teams as the assignment develops.
AI
Your AI agentPrepared for text and audio annotation providers
Annotation batch and review item registerEXAMPLE, NOT LIVE ACTIVITY
An example record for annotation batch, guideline version, review item, review samples.
01Annotation batch02Guideline version03Review item
The useful next step
Prepare annotation batches
Prepare annotation batches using the current annotation batch and its supporting records.
From enquiry to a useful next step
Annotation batch and review item register. Your way of working.
01
Brief and source records received
Add a job reference and the details you already know.
02
Prepare annotation batches
Annotation batch and Guideline version, ready to check.
03
Resolve label disagreements
Give your specialist the outcome and let it carry the work forward.
04
Outcome evidence verified
Keep working records in Files and Tasks.
05
Deliver quality-checked annotations
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
A small tool for a real job
Review samples across the planned work. Before the back-and-forth.
Watch for changes in guideline version, missing review item evidence and unresolved annotation batch dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
- Annotation batch
- Guideline version
- Review item
- Review samples
Try your own numbers
Review samples across the planned work
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
Prepared for your business
The numbers behind your ai agent for text and audio annotation providers.
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Annotation batches delivered
What this measures
Count one distinct observed outcome for “Annotation batches delivered”, linked to its annotation batch and stable completion-event ID. Use the real completion timestamp and supporting review item reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Label disagreements resolved
What this measures
Count one distinct observed outcome for “Label disagreements resolved”, linked to its annotation batch and stable completion-event ID. Use the real completion timestamp and supporting review item reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Reviewed items completed
What this measures
Count one distinct observed outcome for “Reviewed items completed”, linked to its annotation batch and stable completion-event ID. Use the real completion timestamp and supporting review item reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Average · hours
Batch receipt to validated delivery
What this measures
Measure “Batch receipt to validated delivery” in elapsed hours using the actual start and end timestamps for the same annotation batch. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.
Observed rate · %
Annotation deadlines met
What this measures
Completed commitments assessed for “Annotation deadlines met”, linked to stable annotation batch references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Reviewed annotations meeting guidelines
What this measures
Completed assessments for “Reviewed annotations meeting guidelines”, linked to stable annotation batch references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Specialised in your trade. Open to your next idea.
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
An AI agent prepared for your business
The starting instructions, intake questions and working rules already match text and audio annotation providers. Add your service list and one example of your tone when you are ready.
Give your agent the whole job
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask beyond the starting workflows
Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Your AI agent for text and audio annotation providers.
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$249.00/month
Capacity for 1 running agent · hosting throughout the month
Start my AI agent →A clear starting total
Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.
$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.
Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Other plans and connection options →
Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.
Before you begin
An AI agent for text and audio annotation providers.
How does the agent keep annotation batch work accurate?
Track transcript segments, label definitions, annotator decisions and adjudications. Preserve agreed confidentiality and access settings, and distinguish sampled quality estimates from review of every item. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.
Is this only for the three tasks shown?
No. This is an AI agent specialised for text and audio annotation providers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
What happens after I subscribe?
After payment, we prepare your AI agent for text and audio annotation providers, its workflows and your annotation batch and review item register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
Do I need to connect email or messaging?
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Does this replace my existing business software?
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
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