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AI Data Annotation Services

Multilingual data annotation, GenAI evaluation, speech transcription, and data collection across 300+ languages for AI model training programs. Structured QA on every batch. Domain-tested annotators matched to your data type. Coordinated from our Orlando office.

300+ Languages | Orlando, FL | Documented Quality and Security Controls

Describe Your Data Program Describe Your Data Program

What We Deliver ​

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Annotation and labeling

Semantic segmentation, bounding box, polygon, landmark, and text annotation across 300+ languages. Annotators are tested on your specific task type before assignment, not just language proficiency.

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GenAI evaluation and safety review

Prompt creation, response validation, toxicity rating, bias detection, preference ranking, and rewriting. Evaluators understand the difference between factual errors, tone issues, and safety violations.

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Speech and audio transcription

Transcription, segmentation, and speaker diarization in rare and common languages. Useful for ASR training data, call center analytics, and media archival.

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Data collection

Speech, text, image, video, and audio data gathering in 300+ languages. Participant sourcing, consent management, and demographic balancing handled by our team.

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Metadata creation

Structured tagging and taxonomy for AI training datasets. Content classification, entity labeling, and attribute tagging aligned to your schema.

What to Expect

01

Program brief

Share your data type, languages, volume, annotation guidelines, and quality targets.

02

Pilot batch

We annotate a representative sample (typically 200-500 items) so you can validate quality and calibrate guidelines before scaling.

03

Annotator onboarding

We test annotators on your specific task, review their output against your gold standard, and remove underperformers before production begins.

04

Production with batch-level QA

Every batch ships with quality metrics. Issues are flagged and corrected within the same production cycle, not after final delivery.

Quality and Governance

  • Multi-layer QA with annotator review, cross-checking between annotators, and independent audit on a sample of each batch. Domain-tested annotators are matched to your data type. Batch-level quality tracking gives you visibility into output quality across the entire program.
  • GDPR-aligned data handling for EU-sourced datasets. NDA signed with every contractor before they access your data. Compliance documentation available on request.

Why US AI Teams Choose Dynamic Dialects

AI companies building multilingual models need annotators who actually speak the target language at a native level, not crowdsourced contributors who pass a basic screening. Dynamic Dialects sources from 300+ languages with domain-specific testing before assignment. When your current data vendor cannot cover a language or your quality metrics drop on rare-language batches, we fill the gap with tested annotators and structured QA.

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