01 / MULTILINGUAL AI DATA

Make AI understand how the world speaks.

We support multilingual data programs across speech, text, translation and evaluation — combining contributor expertise with structured annotation and human quality review.

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IMMERSIVE DATA STORYMake AI understand how the world speaks.Human expertise · Structured data · Quality at scale

LANGUAGE DATA CAPABILITIES

Language data shaped by real speakers and real context.

From speech capture to text annotation and evaluation, projects are designed around language, locale, accent, domain, recording conditions and the intended model use.

01 / SPEECH

Speech & audio

Speech collection, transcription, ASR evaluation, voice commands, accents, dialects and code-switching.

02 / TEXT

Language & text

Translation, localization, multilingual text datasets, low-resource language data, OCR and text cleaning.

03 / EVALUATION

Annotation & evaluation

Audio and text annotation, response rating, preference ranking, LLM evaluation and human review.

LANGUAGE QUALITY LOOP

Native context. Consistent instructions. Reviewable outputs.

Locale design

Define languages, variants, accents, scripts and target use cases.

Speaker sourcing

Recruit and screen contributors against project criteria.

Guided collection

Train participants with prompts, examples and recording standards.

Annotation & QA

Apply task rules, reviewer checks and correction workflows.

Dataset delivery

Organize outputs and report completion against agreed criteria.

Language is more than words. It is accent, intent, context and culture.

Our human-led workflows help preserve those details through collection, annotation and review.

MULTILINGUAL DATA CAPABILITIES

Language data across the full AI lifecycle.

From sourcing native speakers to preparing, annotating and evaluating multimodal datasets, we can coordinate work around your language, locale, content type and model objectives.

01 / COLLECT

Data collection

Text prompts and responses, speech recordings, conversational samples, image sets and video content gathered to project-specific instructions.

02 / STRUCTURE

Data annotation

Transcription labels, intent and entity tags, classification, sentiment, speaker labels, timestamps, image labels, captions and video event tags.

03 / TRANSFORM

Transcription & translation

Speech-to-text transcription, verbatim or clean-read outputs, translation, localization, transliteration and multilingual alignment.

04 / REFINE

Proofreading & linguistic review

Grammar, spelling, terminology, fluency, consistency, locale appropriateness and meaning-preservation checks.

05 / EVALUATE

Model evaluation

Human evaluation of relevance, helpfulness, instruction following, factuality, language quality, safety and response preference against supplied rubrics.

06 / VALIDATE

Content evaluation & QA

Review text, audio, image and video content for accuracy, completeness, policy alignment, annotation consistency and task-specific acceptance criteria.

SUPPORTED MODALITIES

One language operation. Four data formats.

Text

Corpus creation, prompt and response collection, classification, entity and intent annotation, proofreading, translation, localization and LLM response evaluation.

CollectionAnnotationLinguistic QA

Audio

Speech collection, transcription, speaker and segment labeling, timestamping, accent and dialect coverage, audio quality checks and speech model evaluation.

SpeechASRSpeaker labels

Image

Image collection, captioning, classification, OCR transcription, visual question answering, relevance review and image-content evaluation.

CaptioningOCRVisual QA

Video

Video collection, transcription, subtitle review, scene and event tagging, temporal annotation, content moderation and multimodal evaluation.

Video labelsTimestampsContent review

LANGUAGE & LOCALE COVERAGE

Local context. Global consistency.

Programs can be organized across Latin America, Asia-Pacific and Europe, the Middle East and Africa. Exact languages, countries, dialects, volumes and recruitment feasibility are scoped for each project.

LATAM

Spanish and Portuguese language programs, regional varieties, local speech patterns, text and multimodal content.

APAC

Diverse language families, scripts, accents, code-switching and multilingual content programs across Asia-Pacific markets.

EMEA

European, Middle Eastern and African language coverage, locale-specific review and regionally relevant speech and text data.

NEXT STEP

Let’s build better AI data together.

Tell us what you are building and where human data can help.

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