Transcription and audio labeling
Labeling and transcribing audios
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I have hands-on experience in data labeling, annotation, and AI training tasks, with a strong focus on consistency, accuracy, and quality control. I've worked on various platforms and projects involving error correction, evaluation of AI-generated outputs, and prompt creation for natural language models. Due to my good work, accuracy and attention to detail, I have been promoted to reviewer of several projects, evaluating the work of other workers.
Labeling and transcribing audios
Using language models with human critical thinking. Provide well-reasoned, clear, accurate, and source-backed answers to complex tasks
Data labeling and annotation tasks, review and correct AI-generated outputs. Language, grammar and vocabulary corrections. Sensitive or harmful content evaluation. Audio labeling and transcription
Tasks involved reviewing model-generated responses for accuracy, relevance, and coherence, as well as creating and rating prompts, completions, and follow-up instructions. Focused on improving language model behavior by identifying inconsistencies, refining outputs, and aligning responses with user intent. Projects emphasized critical thinking, linguistic precision, and compliance with evolving guidelines across various content domains. Reviewing other contributors work.
Annotation and evaluation of data used to train and fine-tune Large Language Models (LLMs). Tasks included reviewing and correcting AI-generated responses, creating high-quality prompts and completions, and labeling data for supervised learning. Focused on ensuring linguistic accuracy, logical consistency, and relevance to the given instruction. Contributed to improving model behavior in areas such as natural language understanding, reasoning, creativity, and adherence to user intent.
Master's degree, Data protection, Intellectual Property
Master's degree, Marketing, Copywriting and Community Manager
AUDIO AND DATA LABELING
AI TRAINING, EVALUATION AND RATING