We source and screen
Identify contributors who fit the target language, market, device, and eligibility profile for the project.
Enterprise voice operations
Speech data programs run with the discipline enterprise teams expect.
Voice SFT runs the operational layer behind multilingual voice and language data programs. We source and screen contributors, manage guided workflows, review submissions, and deliver cleaner data without requiring your team to build contributor operations from scratch.
Country and language eligibility
Human quality review
Contributor support workflows
Voice SFT project desk
Managed collection
Target profiles18
Review layerQA
Arabic GulfRecording scriptsReady
GermanEligibility reviewIn progress
JapaneseContributor onboardingScoping
A managed data operation for voice and language programs.
Voice SFT turns your data objective into an operated collection workflow, with sourcing, screening, contributor guidance, review, and delivery handled for you.
We run the workflow
Build clear task steps, instructions, verification paths, and support routes so contributors can complete the work correctly.
We review submissions
Check completed work for clarity, completeness, and instruction compliance before it reaches your internal team.
We prepare delivery
Organize approved outputs around the structure, metadata, and handoff expectations your team needs.
Designed for projects where quality depends on the people behind the data.
Use Voice SFT for targeted data operations that require real contributors, clear instructions, and consistent completion flows.
Voice recording collection
Read scripts, prompt responses, conversational speech, accent coverage, pronunciation samples, and short video or audio tasks.
Multilingual task workflows
Language evaluation, question answering, annotation, selection tasks, and localized contributor journeys.
Eligibility and review flows
Verification, country requirements, contributor support, staged access, and structured quality checkpoints.
From project objective to reviewed data.
A focused operating model keeps your team out of day-to-day contributor management while preserving control over the requirements that matter.
Share the data objective
Clarify target languages, markets, task type, output format, quality criteria, volume, and timeline.
We design the operation
Translate requirements into contributor-facing steps, instructions, validations, and support paths.
We manage collection
Source, guide, support, and monitor contributors through completion.
Review and hand off
Package approved work with the structure your AI, research, or operations team needs.
Delivery package
What your team receives.
Every project is organized around a usable handoff, not raw task activity. The result is cleaner data, clearer context, and fewer loose ends for your internal team.
Approved data package
Reviewed recordings, responses, or language-task outputs prepared in the agreed structure.
Market and task metadata
Useful context such as language, market, task type, completion status, and review outcome.
Quality notes and exceptions
A clear view of what passed review, what was excluded, and any constraints your team should know.
Bring us the data problem. We will help shape the workflow.
Share the use case, target languages or markets, data volume, and timeline. We will respond with the next best step.