Freelance writer and Label annotation
I have been actively involved in data labeling and AI training since 2024, with hands-on experience across multiple annotation types and platforms. My work spans text, image, audio, and video annotation, where I’ve contributed to improving model accuracy, consistency, and performance. On the text side, I’ve handled tasks such as classification, sentiment analysis, entity recognition, prompt-response evaluation, and data validation for LLM training. For image annotation, I’ve worked on bounding boxes, segmentation, object labeling, and quality control for computer vision models. In audio projects, I’ve completed transcription, speaker identification, and audio classification, ensuring high accuracy and clarity. I also have experience with video annotation, including object tracking, event tagging, and frame-by-frame labeling. I’ve worked with platforms like Micro1 AI and Outlier AI, where I consistently met quality benchmarks and adhered to strict guidelines. My key strengths include attention to detail, fast turnaround times, adaptability to new project requirements, and a strong understanding of annotation standards. What sets me apart is my ability to handle multiple data types efficiently while maintaining high precision, as well as my familiarity with AI training workflows and quality assurance processes. I’m comfortable working independently or as part of a distributed team, and I continuously refine my skills to stay aligned with evolving AI data needs.