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Mac Users Needed for AI Security Research | $25 USD | Work From Home

  • Remote
    • London, Greater London, United Kingdom
    • Mexico City, Ciudad de México, Mexico
    • Warsaw, Mazowieckie, Poland
    • Rio de Janeiro , Rio de Janeiro, Brazil
    • Prague, Praha, Hlavní město, Czechia
    +4 more
  • $25 - $25 per hour
  • Data Collection

Earn $25 for under an hour of work! Especially valuable for international participants - flexible remote opportunity with immediate payment. Mac owners welcome worldwide!

Job description

Calling all Mac users! Join cutting-edge research developing AI systems that detect manipulated digital content. Your participation helps build technology that protects against deepfakes and synthetic media threats.

Research Mission: Contribute to defensive AI development through recorded video conversations. Your data helps train systems to identify:

  • Artificially generated faces

  • Voice synthesis attacks

  • Manipulated video content

  • Digital impersonation fraud

Simple Process:

  • Flexible scheduling - choose times that work for you

  • Connect from your Mac at home

  • Casual conversation with research coordinators

  • Discuss everyday topics and experiences

  • Single session lasting 35-50 minutes

  • Prompt payment upon completion

Why Mac Users? Our research requires diverse device representation to ensure AI systems work across all platforms. Mac users provide unique hardware/software combinations essential for comprehensive training data.

Ready to Contribute? Help build tomorrow's digital security while earning today. Mac users are specifically needed for this important research phase.

Job requirements

  1. Age 18+ with fluent English

  2. MacBook or iMac (2019 or newer preferred)

  3. Built-in or external webcam with clear video

  4. Reliable broadband internet connection

  5. Quiet, private location for recording

  6. Comfort being recorded for research purposes

  7. Ability to complete full session without interruption

Remote
$25 - $25 per hour
Data Collection

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