À propos de ce poste Social Media Content Evaluator (Kannada) chez Rws
About the Role
In this role, you will play a critical part in shaping the future of artificial intelligence and media analysis.
Your main responsibility will be to review short-form video media and classify the language present in both spoken audio and on-screen text. By validating content within your native locale, you will generate high-quality "ground truth" data.
What You’ll Do
- Media Evaluation: Watch and analyze short-form video clips to identify all languages present in the audio and on-screen text.
- Locale Validation: Verify and validate that the media content aligns with your specific target locale (e.g., verifying that the media content uses authentic target language and aligns with the cultural context of that language).
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Data Labeling: Generate highly accurate ground truth labels using our internal classification tools according to strict project guidelines.
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Quality Assurance: Ensure high data quality and consistency to meet the standards required for training automated machine learning models.
What we’re looking for:
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Must be currently living in India.
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Native-level written and spoken fluency in Kannada.
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Access to a reliable, high-speed internet connection and a secure personal computer/laptop.
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Ability to strictly follow detailed photography and data entry guidelines.
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(Preferred but not required) Previous experience in data annotation, content moderation, translation, transcription, or linguistic QA is a strong asset.
