Text annotation
Performed text classification including sentiment analysis, topic categorization, and toxicity labeling for natural language processing (NLP) model training.
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
I am an experienced data annotator and analyst with a strong background in labeling and auditing large datasets for AI and machine learning applications. My work at RWS involved annotating text, images, audio, and video data, ensuring high accuracy and consistency according to strict quality guidelines. I have hands-on experience conducting dataset audits to enhance model reliability and have developed a keen eye for detail through my roles in data analysis and monitoring. My technical toolkit includes Python, MySQL, SPSS, and advanced Excel, and I am skilled in data cleaning, manipulation, and visualization. I have contributed to personal data projects published on GitHub and Tableau Public, and am passionate about supporting AI development through precise and high-quality training data.
Performed text classification including sentiment analysis, topic categorization, and toxicity labeling for natural language processing (NLP) model training.
Completed speech-to-text transcription, speaker diarization among other tasks across multilingual datasets. Annotated approximately 120 hours of audio recordings for conversational AI model training.
Conducted frame-by-frame object tracking and temporal segmentation for behavioral analysis datasets. Labeled human activity sequences and event-based triggers across 300+ video clips totaling approximately 150 hours of footage.
The project focused on training a Large Language Model which included annotating more than 500 images weekly while maintaining 96% accuracy through peer review validation and detailed annotation guidelines. Tasks included image classification, keypoint labeling for facial landmarks, and semantic segmentation, labeled human activity sequences and event-based triggers across 300+ video clips totaling approximately 150 hours of footage, speech-to-text transcription, speaker diarization, and emotion tagging across multilingual datasets.
Master of Management Studies, Management Studies
Post Graduate Diploma in Monitoring and Evaluation, Monitoring and Evaluation
Data Analyst & Performance Monitoring Specialist
Author