Data annotation
Label and structure text, images, audio, and other project data according to your guidelines.
Explore data annotationSupport the development and improvement of your AI systems with data annotation, AI response evaluation, human feedback, multilingual evaluation, data validation, and dedicated global project teams.
Discuss your AI & Data projectFrom raw data to structured, review-ready outputs.

Label and structure text, images, audio, and other project data according to your guidelines.
Explore data annotationReview AI outputs for relevance, accuracy, instruction following, and other project-specific criteria.
Explore ai response evaluationCompare responses and capture human judgments using clear rubrics and calibrated review processes.
Explore human feedback & preference rankingCoordinate qualified language contributors to review responses for meaning, context, and language quality.
Explore multilingual ai evaluationCollect data around defined requirements and check it for completeness, consistency, and suitability.
Explore data collection & validationBring human review into AI workflows where context and judgment are needed.
Explore ai output reviewIllustrative comparison · no data is submitted.
Choose a response to explore the interaction.
In one sentence, explain why clear labels help a dataset.
We source, assess, hire, train, calibrate, and manage dedicated contributors around your project's skills, language needs, guidelines, and expected volume.
Avenris stays involved in task coordination, quality assurance, feedback, and delivery. Together, we define the scope, review standards, and handoff requirements before work begins.