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Project Saiph - Podcast Content Reviewer - French (France)

Résumé du poste

FR

Modèle de travail

Entièrement remote
Uniquement FR
il y a 2 semaines
Description du poste

Project Overview & Job Responsibilities

We are looking for qualified candidates to participate in our new project. Podcast Content Review project for Client - a key collaboration aimed at ensuring compliance with Client Podcasts content guidelines.

Core Task

Evaluate podcasts in your native language, focusing on four key areas as per Client's guidelines:

  • Metadata accuracy
  • Explicit content tagging
  • Rights infringement checks
  • Design quality of podcast artwork

Workload

About 20 hours per month per language pairing.

Locale & Rate

French (France), $/hour.

Candidates who meet the application requirements need to undergo two rounds of interviews.

Mandatory Requirement (Non-negotiable)

This role requires access to a functional MacBook/Mac device. Without a MacBook/Mac, you will not be able to perform the required tasks, so please confirm this prerequisite carefully.

To Apply

Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis.

Why Join Welo Data?

  • Limitless Flexibility: Projects that fit your schedule.
  • Limitless Growth: Apply your expertise while exploring how AI impacts your industry.
  • Limitless Support: Be part of a global network of contributors.

About Welo Data

Welo Data, part of Welocalize, is a global AI data company with 500,000 contributors delivering high-quality, ethical data to train the world's most advanced AI systems. We're building smarter, more human AI with a diverse community in 100 countries.

At Welo Data, Limitless AI. Limitless You. It's not just a slogan-it's our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Note: We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.