Transcription, speaker diarisation, and audio event tagging across languages and acoustic conditions — timed, reviewed, and returned in the format your training pipeline expects.
Transcriptionists, diarization specialists, QA reviewers, and domain experts for any audio project
Specialists work inside any annotation tool or custom internal environment you provide
Transcription, speaker diarization, audio event tagging, and more across any language or domain
One programme, run end to end, delivering accurate annotations, precise labels, and production-ready training data for speech recognition, audio classification, music AI, and more.
Annotators work inside any labeling tool or your internal environment. You control access and permissions. Your data never leaves your systems.
Built-in chat, instruction editor, and everything you need to coordinate audio labeling across distributed teams. Share annotation guidelines, run calibration sets, and manage QA in one place.
Pay our annotation team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
We get a shortlist of qualified transcriptionists, diarization specialists, and QA reviewers ready to work in any labeling tool or internal platform. What we deliver:
Create your account, scope a project, and commission specialists who work inside your existing platform.
Describe your project and the skills you need. Receive proposals from transcriptionists, diarization specialists, and QA reviewers with proven experience in audio annotation.
We agree the spec, then run delivery inside any labeling tool or your internal environment.
Share transcription guidelines and style guides, message your team, and handle global payments from a single dashboard.
Send us a sample batch and we will come back with a spec and a quote.
A standing programme, run end to end, for continuous or large-volume work.
Send us your first batch and get transcriptionists, diarization specialists, and audio engineers who work inside any platform or your own internal systems.
The largest network of transcriptionists, diarization specialists, and QA reviewers, ready to work in any labeling tool or custom environment.
Quick answers to common questions about audio annotation projects and specialist delivery on ReinforcedX.
The full range for speech audio labeling: we scope the task types with you at kickoff, produce them against your schema, and QA every batch before it reaches you. If a task type is unusual, we pilot it on a small batch first so you can judge the output before committing volume.
Yes — tell us what you need for speech audio labeling and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
Yes — tell us what you need for speech audio labeling and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
Yes — tell us what you need for speech audio labeling and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
Yes — tell us what you need for speech audio labeling and we will scope it, agree the quality bar, and deliver against it. Every batch is reviewed before it reaches you.
A managed programme means we run the whole speech audio labeling pipeline end to end — staffing, tooling, QA, and reporting — inside your environment. It is the right choice once volume is continuous or the work spans several teams, because you stop coordinating batches and start receiving them.
Deliver specialists on ReinforcedX, then invite them to any annotation platform or your own internal environment.
Three ways to work with us, from a single batch to a standing programme.
Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.
We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.
Keep a standing delivery pipeline running against your roadmap, with quality reported every week.
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.
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