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Spanish-English Audio Collection & Transcription Project - Spanglish

Chemin

Transcription & Audio Training Full-time
Argentina, Colombia July 15, 2026

Job description

About Kaya

Kaya by Chemin Sdn Bhd is a community for high-performing data annotators who play an integral role in shaping the future of machine learning and artificial intelligence.

Kaya offers a collaborative environment where ambitious annotators can thrive. It is a tight-knit community that supports members’ professional growth and helps them build a long-term career in data labelling and AI.

Join Kaya and start contributing to impactful AI projects.

About the Role

We are looking for fluent Spanish-English bilingual speakers to join a short-term remote project helping train multilingual AI language systems.

In this project, you will record natural bilingual conversations based on client-provided scripts and transcribe your recordings accurately. The conversations reflect how people naturally switch between Spanish and English in everyday situations, helping AI better understand real-world multilingual speech across different Spanish variants.

If you're comfortable working with audio, detail-oriented, and can commit a few hours a day, this project is for you.

Requirements

What You'll Be Doing

  • Record natural bilingual conversations by following client-provided scripts
  • Transcribe your own recordings accurately
  • Segment audio into natural speech units
  • Identify and label speakers when multiple voices are present
  • Apply transcription guidelines, punctuation, and annotation tags correctly
  • Follow project guidelines to maintain high-quality outputs
  • Communicate actively with the Project Manager for clarifications

Project Details

Duration: Approximately 2 months

Time commitment: Around 4–6 hours per day

Onboarding Training: Mandatory (TBD,  during office hours 9:00 AM–6:00 PM GMT-3)

Working hours: Flexible (tasks can be completed anytime before the assigned deadline)

Pay Rate

  • Audio Collection: USD 1 per accepted audio minute
  • Transcription: USD 2 per accepted task (AHT: ~30–60 minutes per task)
  • Project Period: July – August 2026

We are looking for bilingual speakers of the following Spanish varieties:

  • Mexican Spanish-English
  • Puerto Rican Spanish-English
  • U.S. Bilingual Spanish-English (Spanglish)
  • Dominican Spanish-English
  • Central American Spanish-English

What matters most for this role is your ability to naturally understand, speak, and transcribe real-life bilingual Spanish-English conversations.

What Do I Need?

  • Native speaker of one of the regional Spanish varieties listed above
  • Fluent in both Spanish and English
  • English proficiency of at least B2 level to communicate effectively throughout the project and understand project guidelines
  • Comfortable speaking and understanding natural Spanish-English code-switching
  • Strong listening, reading, and writing skills in both Spanish and English
  • Detail-oriented and patient, able to maintain at least 95% accuracy
  • Willing to ask questions when unsure
  • Quiet environment suitable for recording audio
  • Laptop or desktop with a stable internet connection
  • Ability to manage your own time and meet deadlines
  • Complete a pre-assessment as part of the screening process, complete the pre-assessment here: https://forms.gle/KdYH6aSwJUuQxFTt5

 

Bonus point: Previous experience in transcription, audio annotation, data labelling, or AI-related projects.

Benefits

  • Work remotely from anywhere
  • Be part of an AI project representing real bilingual Spanish-English conversations across different regional Spanish varieties
  • Priority consideration for future opportunities
  • Gain hands-on experience in AI language data, transcription, and audio annotation
  • Contribute to building smarter and more inclusive multilingual AI technologies

Available regions

Each region below is open to applicants in that country only. Apply through the link for your region.

Country
States / regions
Apply
Argentina
Any
Colombia
Any
Apply now

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