Job Description
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We seek a meticulous NLP Data Annotator to contribute to the advancement of state-of-the-art Natural Language Processing systems. In this role, you will annotate, categorize, and assess text and/or speech data to enhance the efficacy of AI models, including chatbots, search engines, and language comprehension tools. Responsibilities include interpreting and labeling text data per precise annotation guidelines, executing tasks such as sentiment analysis, intent classification, entity recognition, and text classification, and adhering to annotation instructions with precision and consistency. Additionally, you will conduct quality evaluations, address annotation inconsistencies, meet productivity and quality benchmarks, and offer insights to refine annotation workflows. Qualifications include a Bachelor’s degree in Linguistics, English, Communications, Computer Science, or a related discipline, with proficiency in written and spoken English (additional languages are advantageous). Candidates should possess experience with large language model training datasets, familiarity with data formats such as JSON, XML, and CSV, and knowledge of evaluation metrics like precision, recall, and F1-score. Experience with APIs and data pipelines, along with strong reading comprehension and analytical abilities, is also required.
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