Quality Assurance Engineer, Generative AI
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About Data Engine
Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most important work for how humanity will interact with AI.
Responsibilities:
- Perform thorough manual testing of a complex front-end application, meticulously identifying bugs and unexpected behaviors.
- Collaborate with multiple stakeholders to gather product requirements and obtain necessary information to reproduce issues accurately.
- Develop and maintain automated frontend tests using frameworks like Cypress for a highly configurable and rapidly evolving application.
Requirements:
- Excellent communication skills, both written and verbal, in English.
- At least 1 year of experience in Quality Assurance roles (manual and/or automated testing).
- Proficiency with Cypress or similar JavaScript testing frameworks.
Nice to have:
- Previous experience working in a tech startup environment.
- Basic knowledge of React, HTML, and/or TypeScript.
- Keen interest in Artificial Intelligence and experience as a power user of LLMs.
