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AI data & language services Quote Request a scope

AI data and language services

Pick the right service before work starts.

Dynamic Dialects separates AI-data work from language-service work at the first request, then gives you a named PM, a written scope, and a quality check before production begins.

Request a scope See service options
AI data Annotation, evaluation, speech review
Language services Translation, interpreting, media, localization
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250+ languages coordinated 40,000+ vetted linguists ISO quality, security, review

Two domains. One quality discipline.

Start with the work type, then choose the right shell.

For AI / ML and data-ops teams

AI Data Services

Annotation, evaluation, speech review, transcription data, and dataset checks with separate production and review roles.

  • Multilingual annotation and labeling
  • Model-output evaluation and RLHF
  • Speech and transcript data
  • Batch quality metrics
Open AI Data Services

For enterprise and language-company partners

Language Services

Translation, interpretation, subtitling, localization, and transcription under one PM, one scope, and one documented quality check.

  • Certified and document translation
  • Phone, video, and on-site interpretation
  • Subtitling, SDH, dubbing, and voice-over
  • Localization and transcription
Open Language Services
Evidence for review

What DD can show before a buyer commits.

This is not a public case study claim. It is DD-owned evidence a buyer can request when the work needs vendor review before a scope is approved.

Ask for proof details
Buyer type
Operations buyer deciding whether DD should receive a translation, interpreting, media, localization, transcription, or AI data request.
Problem
The buyer needs the correct service option before sending files, because a wrong starting point creates quote noise and delivery risk.
Scope
Six service shells cover AI data, translation, interpretation, subtitling and captioning, localization, and transcription under one DD request review.
Constraint
Service pages cannot rely on public case studies yet; each service must show its operating proof through DD-owned artifacts.
DD action
DD separates the request by work type, confirms missing inputs, names the PM contact, and returns a written scope before production.
Evidence available
Private proof can include a service-specific start checklist, QA summary format, delivery-note format, and sample sourcing review.
Outcome
The buyer knows which DD service fits the requirement and what evidence to request before a vendor decision is made.
Disclosure status
DD shares service-method proof without client names. Engagement summaries require client approval or appropriate disclosure terms.

Core service shells

Six services. Same request discipline.

A data labeling workstation with multilingual annotation tasks displayed

AI data

AI data

Multilingual annotation, transcription, speech review, model evaluation, and dataset quality checks for AI and NLP programs. Batch-level quality metrics.

Open shell
A translator reviewing bilingual legal documents at a lit workspace

Language services

Translation

Certified and document translation services with human translation and independent review for legal, medical, and technical content. 250+ languages.

Open shell
An interpreter mid-session on a video call reviewing bilingual notes

Language services

Interpretation

Phone, video, and on-site interpretation for healthcare, legal, government, and business settings. 250+ languages. One named PM per booking.

Open shell
A media production workspace with a subtitling timeline on screen

Language services

Subtitling and captioning

Subtitles, SDH captions, audio description, dubbing scripts, and voice-over production in 200+ languages. One PM per production.

Open shell
A localization specialist in a bright office working in a localization tool, source strings beside a live app preview

Language services

Localization

Website, product, app, and marketing localization for market-ready enterprise programs. 250+ languages. One named PM. Multi-language under one contract.

Open shell
A transcriptionist with headphones in a bright office working in transcription software showing a waveform and a timestamped transcript

Language services

Transcription

Multilingual transcription for audio, video, interviews, calls, media, and AI data pipelines. Timestamps, speaker labels, and clean-read formats.

Open shell

How DD checks it

The service can change. The separation of roles does not.

01

Send the work type

Files, media, sample records, session details, language list, target audience, and deadline.

02

DD separates the scope

A named PM separates AI-data work from language-service work and confirms what can be staffed.

03

Production stays reviewed

The person doing the work is not the final reviewer. QA records stay attached to the engagement.

04

You get a written plan

Scope, timeline, questions, missing inputs, and delivery approach arrive before production starts.

Send one request. DD will split the work correctly.

A file sample, media link, sample record, language list, or session details are enough to begin.

Request a scope
Send the requirement

Get the right scope in writing.

Share the language pair, file type, audience, or problem. DD replies with availability, open questions, handling notes, and the next step before work starts.

Four fields are enough to start. Add files later if handling needs review.