Job description:
Our global AI Community is a vibrant network of 1+ million contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact by supporting the machine learning models of some of the world’s largest brands.
Join our exciting new project as a Global Language Labeler!
Task: Audio Speech Recognition - Transcription and QA Training details: To be confirmed.
Live Production Details:
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Start Date: Immediate availability required (End of April). Shortlisted applicants will receive confirmation via email.
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Duration: Approximately 4 weeks.
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Required Availability: 5+ hours per day
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Compensation: 4.5-23 USD per hour. (Depending on the language and locale)
Target Languages & Markets: We are actively hiring native speakers for the following regions.
Please specify your native language in your application:
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English (Romania, Philippines, United States, United Kingdom)
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Tagalog (Philippines)
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Indonesian (Indonesia)
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Malay (Malaysia)
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Portuguese (Brazil)
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Spanish (Mexico)
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Thai (Thailand)
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Vietnamese (Vietnam)
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French (France)
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German (Germany)
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Italian (Italy)
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Japanese (Japan)
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Korean (Korea)
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Russian (Kazakhstan)
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Arabic (Egypt)
Requirements:
- 18+ years old.
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Native-level proficiency in one of the target languages listed above.
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English B2 (Advanced) level for system navigation and guidelines.
- Previous experience in Transcription or Annotation is required.
- Avid social media user.
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Hardware: Laptop or desktop with Windows 10 (or higher) or Mac with newest iOS. (Note: Tasks cannot be performed on a computer).
- Steady, high-speed internet connection and a high-quality headset (earphones).
Qualification path
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Apply: Complete your application and select your native language.
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Verification: Complete your IDV (Identity Verification) immediately if you haven't already. This is a mandatory part of the process.
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Screening: Once all stages are finished, a recruiter will screen your profile to verify your native language skills and educational background. Please ensure your degree/educational documents are uploaded in English.
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Onboarding: Following a successful review, we will set up the project and get selected candidates started.