AI Data Labeling & Annotation Specialist
TextText Summarization
This project involves performing high-quality data labeling and annotation tasks to support the training and evaluation of AI language models. Core responsibilities include reviewing and rating AI-generated responses for accuracy, relevance, and tone; creating question-and-answer pairs from provided source material; classifying text into defined categories; and following detailed annotation guidelines to ensure consistency across tasks. Quality is maintained through careful self-review before submission, resulting in a task approval rate consistently above 95%. The work spans various domains including general knowledge, customer service scenarios, and instructional content.
This project involves performing high-quality data labeling and annotation tasks to support the training and evaluation of AI language models. Core responsibilities include reviewing and rating AI-generated responses for accuracy, relevance, and tone; creating question-and-answer pairs from provided source material; classifying text into defined categories; and following detailed annotation guidelines to ensure consistency across tasks. Quality is maintained through careful self-review before submission, resulting in a task approval rate consistently above 95%. The work spans various domains including general knowledge, customer service scenarios, and instructional content.
2024 - Present