Data Annotation and Labelling
prompting techniques to optimize LLM performance and reasoning capabilities
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Detail-oriented Data Annotation Specialist with a strong background in providing high-quality 'ground truth' for machine learning models. Proficient in utilizing industry-standard tools like Labelbox and CVAT to accurately perform image segmentation, bounding box annotation, and text classification. Committed to maintaining 98%+ accuracy and strictly adhering to complex project guidelines to reduce model bias and improve training efficiency.
prompting techniques to optimize LLM performance and reasoning capabilities
As an AI Training Specialist, I was responsible for annotating, labeling, and curating datasets related to images, text, audio, and handwriting. My work supported improvements in machine learning models for tasks including speech recognition, computer vision, and handwriting analysis. I regularly generated prompts, performed transcriptions, and provided quality assurance for diverse data types. • Labeled image and audio data for AI model training. • Generated custom prompts and evaluated chatbot responses. • Supported handwriting recognition by annotating thousands of handwritten samples. • Provided quality assurance using structured rubrics and feedback mechanisms.
As an Audio Transcription Specialist, I transcribed large volumes of audio data for the purpose of training AI speech recognition models. My responsibilities included converting speech to text with high accuracy and validating transcription quality. I contributed to enhancing the accuracy of natural language processing systems. • Transcribed and validated audio files for AI training. • Maintained high accuracy in transcription for improved model outcomes. • Monitored and ensured the quality of audio datasets. • Supported natural language and speech-to-text initiatives across projects.
Diploma, Flight Dispatch and Customer Service
Certificate of Secondary Education, Secondary Education
Data Labeling
Text Annotation Freelance