QA Engineer (Core AI) - New York City, New York

MissionHires; United States; Sur place; USD 70 000 - 90 000; Plein temps

Résumé du poste

MissionHires is seeking a candidate for a role focused on assessing the reliability of AI and Deep Learning models. Responsibilities include conducting QA testing, creating challenging test data using state-of-the-art generative AI techniques, and preparing reports for further analysis.

The ideal candidate will have a Bachelor's in Computer Science or Electrical Engineering, experience with image, video, and audio generation platforms, and proficiency in Python coding. Strong communication skills and a curious mindset are essential.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field required.
• Experience using image, video, and audio generation platforms is necessary.
• Proficiency in coding with shell scripts and Python with basic knowledge of deep learning expected.

Responsabilités

• Assess reliability of AI/Deep Learning models via QA testing.
• Interact with state-of-the-art generative AI techniques to create test data.
• Prepare generated data and reports for further investigation.

Connaissances

Coding with shell scripts

Python programming

Deep learning basics

Good communication skills

Curiosity for model failure modes

Formation

Bachelor’s in Computer Science or Electrical Engineering

Outils

Midjourney

Stable Diffusion

ElevenLabs

Description du poste

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.