QA Analyst
This task requires evaluating 8 images in parallel against a prompt. You will need to assess which two images are worse and select the two images good.
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I am an experienced Nepali linguist and AI data contributor with over four years working on translation, annotation, and NLP dataset creation for global platforms such as Appen, Globose, and Dots AI. My expertise includes semantic labeling, intent detection, transcription, and linguistic QA for both audio and text data, with a strong focus on maintaining terminology consistency and high data quality. I am skilled in using various annotation platforms and tools, and have contributed to multilingual chatbot training, conversational dataset validation, and audio-based NLP projects. My background in computer science and hands-on experience in reviewing, editing, and improving training data for AI systems allow me to deliver precise, reliable results in remote and collaborative environments. I am fluent in Nepali, English, and Hindi, and bring strong communication, problem-solving, and attention to detail to every project.
This task requires evaluating 8 images in parallel against a prompt. You will need to assess which two images are worse and select the two images good.
BSC.CSIT, Science
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