Build multilingual AI with native speakers & real cultural context.
HumanSignal helps AI teams collect, annotate, and validate multilingual data across global languages and markets. From frontier model training to product localization, we recruit the right people, manage the operations, and deliver production-ready datasets.
Successful localization depends on people who understand language in context. We recruit native speakers by language, region, dialect, profession, age, and other demographic requirements to match your project.
Whether you need conversational speech from Mexico, healthcare professionals in Germany, or multilingual evaluators across Southeast Asia, we build teams around your requirements.
The full lifecycle of multilingual data: recruiting, collection, annotation, evaluation, and validation. Expertly managed by our data scientists and project managers against your taxonomy and your quality bar.
Capture speech, text, images, video, and multimodal data from native speakers worldwide.
Translate prompts, datasets, product content, documentation, and evaluation materials.
Produce accurate transcripts for conversational speech, interviews, meetings, customer support, and domain-specific audio.
Label multilingual text, audio, image, and video using customer-defined taxonomies and quality standards.
Evaluate multilingual model outputs for correctness, helpfulness, safety, tone, and cultural appropriateness.
Collect comparative rankings and human judgments for RLHF, reward modeling, and benchmarking.
Review translations for accuracy, terminology, fluency, and regulatory requirements before release.
Adapt prompts, creative assets, interfaces, and evaluation tasks for local markets while preserving intent.
Recruit clinicians, engineers, educators, financial professionals, legal reviewers, and other specialists alongside native speakers.
Our global contributor network spans major world languages as well as lower-resource languages and regional dialects. We build custom recruiting pipelines when projects require specialized populations or hard-to-find language expertise.
Localization today extends far beyond translation. AI systems need multilingual data throughout development — from training to evaluation to production monitoring.
We work with your team to understand languages, target populations, data specifications, annotation guidelines, quality requirements, and delivery format.
We source qualified native speakers and domain experts who match your geographic, demographic, and professional requirements.
Our managed teams capture data, perform annotation, and execute evaluation workflows using customer-defined instructions and quality controls.
Every project includes structured QA with reviewer calibration, spot checks, consensus workflows, and measurable acceptance criteria.
Receive validated datasets, annotations, documentation, and ongoing operational support as your program scales.
Every workflow is designed around AI data creation, annotation, evaluation, and benchmarking.
Recruit native speakers and subject matter experts with cultural expertise.
Support everything from focused pilot studies to global, multi-country collection programs.
Structured review processes, measurable quality standards, and transparent reporting throughout every project.
Every engagement is tailored to your languages, markets, taxonomy, security requirements, and delivery needs.
We regularly support projects across major global languages and can recruit speakers for many lower-resource languages and regional dialects.
Yes. We recruit contributors by profession, education, demographics, geography, and other project-specific criteria.
Yes. We regularly support secure collection and annotation workflows that meet customer security requirements.
No. We support the full lifecycle, including participant recruitment, data collection, translation, annotation, evaluation, quality assurance, and ongoing operations.
Yes. Many customers begin with a pilot and expand into long-running collection and evaluation programs.
Whether you're collecting new datasets, evaluating frontier models, or launching products in new markets, HumanSignal provides the people and operational expertise to deliver high-quality multilingual data.