Quality Assurance Analyst – Computer Use Annotation Training at AI & Data Engagements

Review screen records and event logs to ensure tasks are completed naturally and correctly according to prompts. Validate data for realism, accuracy, and strict adherence to project guidelines. Request reworks when necessary to maintain high-quality datasets for frontier AI labs.

Team Lead at Royal Sparkles Technologies

Lead a team of annotators on large-scale AI training projects, coordinate workflows, assign tasks, and ensure timely delivery of high-quality annotations. Manage annotation for image personalization, Generative AI text-to-image quality checks, object segmentation, and perception data verification. Apply structured evaluation frameworks to improve factual accuracy, clarity, and safety of AI-generated outputs; provide clear feedback to annotators to improve accuracy and efficiency.

Data Annotator at Hugo Technologies

Train generative AI models by responding to prompts and creating 'Gold Standard' datasets for the development of self-answering models. Perform performance optimization and rigorous testing to ensure reliability; provide feedback to optimize model performance. Identify and resolve issues impacting model responses to ensure seamless functionality.