What is a QA Engineer at Scale?
At Scale, data is the foundation of the artificial intelligence revolution. As a QA Engineer, you do not just test software; you are the guardian of data quality that fuels the world's most advanced machine learning and large language models. Your work directly impacts autonomous vehicles, generative AI applications, and defense technologies by ensuring that the training data delivered to clients is flawless, accurate, and structurally sound.
This role sits at the intersection of engineering, operations, and data science. You will be responsible for validating the outputs of complex data annotation pipelines, designing quality assurance frameworks, and building automated scripts to catch anomalies. At Scale, a single labeling error can degrade a machine learning model's performance, making your attention to detail and analytical precision highly critical to the company's business success.
You will collaborate closely with machine learning engineers, product managers, and global operations teams to scale quality control processes. If you are excited by the challenge of working with massive, unstructured datasets and want to play a direct role in the development of cutting-edge AI, the QA Engineer position offers an unparalleled opportunity to make a tangible impact.

