Safety image
Image evaluation and rating to meet the toxicity critera to teach the model how to deal with potential harmful situations.
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I am a multilingual professional with hands-on experience in data annotation and LLM training, specializing in both audio and text data. My recent role involved curating and preprocessing multilingual audio recordings, ensuring accurate transcription and applying precise annotation standards such as speaker labels and noise tags. I have implemented rigorous QA checks to minimize errors and bias, and contributed to the development and testing of text prompts for natural language processing model evaluation. My background in customer service has further honed my attention to detail, communication, and teamwork skills, making me adept at delivering high-quality AI training data in fast-paced, multicultural environments. Fluent in English, French, and Arabic, I am able to contribute to diverse projects requiring linguistic and cultural adaptability.
Image evaluation and rating to meet the toxicity critera to teach the model how to deal with potential harmful situations.
Generating prompts and evaluating their compliance through strict criteras to fine tune the model and be able to generate responses and interact with the users need.
Review, rewrite, and enhance customer prompts to meet high-quality standards, including factuality, grounding, safety, and instruction adherence.
recording and labeling audios, to teach the LLM different scenarios in French, with different constraints and noise level.
Bachelor of English Studies, English Studies
Training, First Aid
Customer Service Representative