Multilingual Text & Audio Annotation

Native-level annotators label and review text and audio datasets using clear guidelines, reviewer validation, and QA checks.

LLM Evaluation & RLHF

We run rubric scoring, preference ranking, red-team style review, and response evaluation to measure quality, safety, and alignment.

Dataset curation & QA

Gold sets, consistency checks, linguistic validation, and audit reports to ensure your dataset is clean and reliable.

NDA-ready • Multilingual reviewers • QA workflow • Fast turnaround

AIGAREX provides multilingual data annotation and evaluation services for AI teams working across global datasets.

AI Solutions Department
Our Services

Our Delivery Workflow

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Task Specification

We align on instructions, examples, edge cases, and quality requirements with your team.

Annotation & Review

Annotators complete the task, then reviewers validate outputs in the same language or domain.

Quality Assurance

We run spot checks, consistency reviews, and QA comparisons to ensure accuracy and reliability.

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Delivery

You receive the completed dataset, QA summary, and feedback notes, with room for iteration if needed.

Human-validated data and evaluations that reduce risk in production

Client Outcomes

Improved Model Performance

Human-Aligned Outputs

Global Language Coverage

Reliable Deployment

Higher-quality multilingual training data

Support for underrepresented languages.

Evaluation grounded in native linguistic judgment

Better model behavior across regions.

English • French • Spanish • Portuguese • Haitian Creole • Mandarin • additional languages available

Leadership

AIGAREX combines multilingual specialists with QA-driven workflows to deliver dependable training data and model evaluation

Founder & Head of Data Analytics Engineering (Operations)

We lead analytics-driven delivery workflows across multilingual annotation, LLM evaluation, and dataset QA. Our work is structured around clear specifications, reviewer validation, and consistent quality controls to support reliable model performance.

Co-Founder & Head of Data Platform Engineering (Infrastructure)

We support the infrastructure behind multilingual AI data workflows, helping you scale, manage datasets reliably, and maintain operational consistency across projects.

Jude Christina Gaspard

Caina Emmanuella Gaspard