Freelancer Overview
I am an experienced AI Data Specialist and Computer Scientist with a strong background in AI training data preparation, data labeling, transcription, and multilingual content evaluation for machine learning and Large Language Model (LLM) systems. I have worked with globally recognized organizations including iMerit, TELUS International, Uber AI, and RWS on projects involving AI data annotation, image labeling, audio evaluation, multilingual script writing, transcription, speech assessment, and linguistic validation. My work has included preparing high-quality datasets for AI and NLP systems through polygon labeling, semantic segmentation, bounding box annotation, transcription review, prompt evaluation, and content quality assurance while strictly adhering to detailed annotation guidelines and productivity standards. What sets me apart is my ability to combine technical expertise with strong analytical and linguistic skills to deliver highly accurate and consistent outputs in remote, deadline-driven environments.
I am proficient in annotation tools such as CVAT, Labelbox, and LabelImg, and I have experience supporting AI model development through data validation, quality assurance, and AI response evaluation workflows. Additionally, my background in software engineering, backend systems, and AI workflows enables me to understand both the technical and operational aspects of AI training pipelines. I am highly detail-oriented, adaptable, and committed to maintaining the highest standards of data quality, confidentiality, and project compliance across complex AI and machine learning aspects.