AI Training Data Specialist at Turing
Computer Code Programming
Prompt + Response Writing (SFT)I was an AI Trainer at Turing, working on projects for enterprise and consumer technology clients like ServiceNow and Apple. These projects involved improving the performance of AI models by providing high-quality training data, annotation, validation, and response evaluation. My responsibilities included data labeling, response ranking, content evaluation, classification, annotation review, and quality assurance, all while adhering to strict guidelines to evaluate the accuracy, relevance, safety, and consistency of AI-generated outputs. The projects were large-scale with high daily volumes of tasks and tight turnaround times, which required meticulous attention to detail and consistency in annotations. Quality control measures included guideline compliance, peer reviews, calibration exercises, audit checks, and high agreement scores in benchmark evaluations to ensure the training data met the standards of the client. These projects concentrated on enhancing the performance of AI models with high-quality training data, annotation, validation, and response evaluation. I was responsible for data labeling, response ranking, content evaluation, classification, annotation review, and quality assurance. My role was to evaluate AI-generated content for accuracy, appropriateness, security, and adherence to formatting standards. The projects were big, with large volumes of tasks every day and tight turnaround requirements. This demanded a high level of detail and consistency in annotation. Quality measures included adherence to guidelines, peer reviews, calibration tasks, audit checks, and high agreement scores with benchmark evaluations to ensure that training data met client standards.