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Welocalize Getonbrd · Posted today

Spanish Language Speaker | Peru

Remote Remote

Content Advertising & Media remote_local es
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Indexed description

Qualifications and requirements

  • A native-level Spanish (Peru) speaker
  • Comfortable speaking in a natural, conversational tone
  • Experienced in voice recording (podcasts, streaming, voice-over, etc. is a plus)
  • Equipped with a professional home recording setup (external mic required)
  • Able to record in a quiet, echo-free environment
  • External microphone is mandatory (no built-in or headset mics)
  • Dynamic microphones (best for untreated rooms): Shure SM58, Shure MV7 / MV7+, RODE PodMic / PodMic USB, or similar
  • Condenser microphones (for treated rooms): RODE NT-USB Mini, Blue Yeti / Yeti Orb, Blue Bluebird, Blue Baby Bottle, or similar
  • Recording environment:
    • Quiet (no background noise like fans, traffic, appliances)
    • Dry (no echo or hollow sound)
    • Treated for studio-quality output (isolation shields, sound-absorbing pads, etc.)
  • 🚫 Not accepted: Laptop mics, phone mics, AirPods, earbuds, headsets, or gaming microphones

Projects

PROJECT DETAILS
  • Total time: ~8 hours (2 sessions, ~4 hours each)
  • Location: Remote (home studio required)
  • Compensation: $35 USD per hour
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises.

Job functions

  • Record natural conversations and scripted scenarios in Spanish (Peru)
  • Submit a short audition (2 samples of ~30 seconds) using your home setup
  • Participate in guided discussions and customer-service style dialogues
  • Complete two scheduled recording sessions (~4 hours each)
  • Help train AI systems to better understand real, everyday language
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