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.

Job Type: Freelance

Location: Latin America (work from home)

Work Schedule: Part-time — 4 hours per day required. (Versátil schedule: you can
choose your hours as long as the daily time requirement is met). Work whenever
you want.

Start Date: Immediately

Duration: TBC

Rate: 7 USD per hour

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).

* Data Labeling:



Generate highly accurate ground truth labels using our
internal classification tools according to strict project guidelines.

* Quality Assurance: Ensure high data quality and consistency to meet the
standards required for training automated machine learning models.

WHAT WE’RE LOOKING FOR:

* Must be currently living in Latin America.

* Native-level written and spoken fluency in Spanish.

* Access to a reliable, high-speed internet connection and a secure personal
computer/laptop.

* Ability to strictly follow detailed photography and data entry guidelines.

* (Preferred but not required) Previous experience in data annotation, content
moderation, translation, transcription, or linguistic QA is a strong asset.

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Vendor Type

When applying, please select the option that best describes your working status.

Are you a Freelancer or Private Individual?

A Freelancer is someone who has a business license and may have a

📌 Social Media Content Evaluator (Ciudad de México)
🏢 RWS TrainAI
📍 Ciudad de México