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From the employer's careers site First seen 3 Nov 2026

Mobile Device Data Collection - Spanish (Argentina)

CrowdGen Argentina Remote contract

Salary

USD 6-15 one-time

Apply on CrowdGen

Description

Join Project Melora – Spanish Voice Recording ($6.00–$15.00) Help build more natural voice AI by recording short, one-sided phone calls in Spanish. Imagine you're calling a bank, telco, or retailer for help, and speak naturally using made-up details. Each session takes only a few minutes.

Requirements:

  • Native Spanish speaker, 18+
  • Can read and follow short instructions in Spanish
  • Own an iPhone 17, 17 Air, 17 Pro, or 17 Pro Max
  • Have a quiet indoor space to record (no TV, traffic, fans, or other voices)
  • Can complete 4–10 calls, each 1–2 minutes (5 minutes max)
  • Can spread calls out: no more than 3 per day, at least 3 hours apart, at different times of day across several days
  • Comfortable improvising a natural, unscripted call that follows a 6-step flow: greeting, ID verification, describing the issue, pausing for the agent's reply, resolution, and closing
  • Will use only fake names and account or order numbers (no real personal information)
  • Willing to be recorded, give recorded consent, sign an NDA, and follow project guidelines

How it works:

  • Record solo calls on our secure platform. No second person is needed; pause where the agent would respond.
  • Submit basic metadata after each call.

Pay: $1.50 per QA-approved session

  • You need at least 4 approved sessions to be paid ($6.00), and you can do up to 10 ($15.00).
  • Sessions that fail QA don't count toward payment.
  • We recommend doing all 10 to get the full payout.

Why join?: It's flexible and remote, you work on your own schedule, and pay is always above minimum wage in your market.

Skills

Required

  • Spanish
  • iPhone 17, 17 Air, 17 Pro, or 17 Pro Max

Ready to apply?

You apply with the employer directly. Their original posting is here: https://jobs.lever.co/appen/cff67e56-a8fa-4046-93cf-c4db3ac7bed9

Apply on CrowdGen