Kannada AI Language Evaluator

Vraify; Deutschland; Remote; EUR 3,700 - 8,600; Full time

Job summary

Vraify is seeking contributors for paid remote AI language work in Kannada. Review model responses, annotate language data, translations, and transcripts, and evaluate audio quality. Pay ranges from $3 to $7 per hour depending on project and demonstrated quality.

The role emphasizes accuracy, cultural appropriateness, and clear explanations of errors. Ideal candidates are native or near-native Kannada speakers with strong English reading skills and prior experience in language annotation, data

Qualifications

• Native or near-native Kannada proficiency including script.
• Strong English reading comprehension to follow detailed rubrics.

Responsibilities

• Evaluate Kannada content for correctness, naturalness and cultural fit.
• Annotate or review Kannada text, translations, transcripts, and audio against guidelines.
• Identify factual, grammatical, instruction-following and localization errors and explain corrections clearly.
• Complete quality checks across batches and flag ambiguous material.

Skills

Kannada proficiency

English comprehension

Language annotation experience

Explain language errors

Job description

Paid remote AI language work for experienced Kannada contributors. Review model responses, annotate language data, check writing and translations, and evaluate transcript or audio quality. Pay is typically $3-7/hour depending on the project and demonstrated quality.

What you'll do:

• Evaluate whether AI-generated Kannada is correct, natural, and culturally appropriate.
• Annotate or review Kannada text, translations, transcripts, and audio against written guidelines.
• Identify factual, grammatical, instruction-following, and localisation errors and explain the correction clearly.
• Complete quality checks consistently across batches and flag ambiguous instructions or source material.

What we look for:

• Native or near-native written Kannada proficiency, including the native script.
• Strong enough English reading comprehension to follow detailed assessment rubrics and written project guidelines.
• Previous professional experience in language annotation, data labelling, transcription, translation or localisation QA, linguistic review, or a closely related workflow.
• Comfortable explaining language errors precisely and working consistently in browser-based tools.