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QA Engineer (Core AI)

Salary undisclosed

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Job Description

Job Description
About Reality Defender

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Youtube: Reality Defender Wins RSA Most Innovative Startup

Why we stand out:

  • Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality

  • We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.

  • Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.

  • We re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.

Role and Responsibilities
  • Assess reliability of AI/Deep Learning models via QA testing

  • Interact with state-of-the-art generative AI techniques to create challenging test data for AI/Deep Learning models

  • Prepare generated data and reports of testing results for further investigation from AI teams

About You
  • Bachelor s Computer Science, Electrical Engineering, or related field Experience using image, video, and audio generation platforms (Midjourney, Stable Diffusion, ElevenLabs, etc.)

  • Proficiency coding with shell scripts and Python and basics of deep learning Good communication skills, self-starter and ability to interface across teams internally.

  • Curious and experimental mindset for discovering model failure modes.

Compensation Range: $135K - $150K

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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