Freelancer

Key Skills

Freelancer Overview

As a specialized AI Data Professional, my experience centers on generating high-quality training datasets through precise data annotation, text labeling, and meticulous quality auditing. Across more than seven commercial data annotation projects, I have successfully executed complex tasks across natural language processing (NLP) and computer vision domains, processing upwards of 15,000 distinct data points while consistently maintaining an accuracy rating above 98%. My core technical expertise spans handling specialized labeling types—such as bounding boxes, polygons, and semantic segmentation—utilizing industry-standard platforms like Labelbox, Prodigy, Amazon SageMaker Ground Truth, and CVAT. In addition to core annotation, I specialize in generative AI evaluation, prompt engineering, and safety auditing. I have designed and executed over 500 unique prompts to train large language models, providing granular reinforcement feedback on model safety, coherence, factuality, and alignment. This analytical work extends to identifying logic flaws and systematic biases within complex documentation, directly translating to the optimization of annotation guidelines and a significant reduction in inter-annotator disagreement. Whether independently evaluating model outputs or onboarding and mentoring junior annotators on strict data handling protocols, my focus remains on ensuring total data integrity and engineering production-ready datasets for advanced AI systems.

Labeling Experience

Education

Work History