AI Data Labeling & Quality Review (Text – Question Answering)
TextQuestion Answering
Worked on training datasets for AI models by labeling and reviewing text-based question-answer pairs. Tasks included evaluating the accuracy, relevance, and clarity of responses, as well as rewriting answers to improve quality and alignment with given prompts.
Handled a variety of topics, requiring strong comprehension and attention to detail. Ensured consistency in labeling by following strict annotation guidelines and maintaining high accuracy standards.
Contributed to improving model performance by identifying errors, refining outputs, and maintaining structured, high-quality datasets.
Worked on training datasets for AI models by labeling and reviewing text-based question-answer pairs. Tasks included evaluating the accuracy, relevance, and clarity of responses, as well as rewriting answers to improve quality and alignment with given prompts. Handled a variety of topics, requiring strong comprehension and attention to detail. Ensured consistency in labeling by following strict annotation guidelines and maintaining high accuracy standards. Contributed to improving model performance by identifying errors, refining outputs, and maintaining structured, high-quality datasets.
2026 - Present