Hire Claire T. - Prompt Engineer - San Francisco

About claire

Summary: - Have 5+ years of experience building and annotating multilingual language datasets, developing data pipelines, and evaluating NLP and LLM systems. - Skilled in Python, SQL, R, and statistical modeling (linear and logistic regression, frequentist and Bayesian approaches) for large-scale data analysis. - Proficient in engineering prompts for LLMs, analyzing linguistic data, and evaluating transformer-based models (GPT-2, LLaMA, DeepSeek) for real-world applications. - Experienced in authoring academic publications, managing NLP research pipelines, and with a strong background in cross-functional collaboration and presentation skills I recently got my PhD in Linguistics and Cognitive Science from the University of Delaware and I'm actively seeking full-time opportunities of data scientist, prompt AI engineer, linguistic engineer, and machine learning engineer. About my research: With a strong foundation in psycholinguistics, sentence processing, and experimental syntax, my research is motivated by a desire to understand the cognitive processes behind real-time language processing as human language is often ambiguous. I'm particularly interested in how grammatical constraints and morphosyntactic cues help disambiguate complex sentence structures, such as garden-path sentences and interpretation of ambiguous anaphoric pronouns (“pronoun resolution”). My work also explores the relationship between working memory and syntactic processing. I'm also interested in investigating the alignment between computational predictions and human behavioral experiments.

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