Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute automations in natural language, with the ability to process and understand domain-specific language. Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's conversational exception handling, powered by Generative AI, allows for quick and easy resolution of unexpected system errors or business exceptions.
What You’ll Do
As a Linguistics Intern at Kognitos, you will play a key role in refining how our AI interprets, understands, and generates language. Your contributions will help improve the usability and accuracy of our NLP systems. Specifically, you will:
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Conduct research to enhance our language models, focusing on syntax, semantics, pragmatics, and discourse analysis.
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Collaborate with engineers to design and build high-quality datasets for NLP training.
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Identify ambiguities or edge cases in user input and propose solutions for improved language interpretation.
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Test and fine-tune automated workflows to improve precision.
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Stay current with research trends in computational linguistics to integrate cutting-edge techniques.
What We're Looking For
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Education:
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Pursuing or holding a PhD in Linguistics, Computational Linguistics, Cognitive Science, or a related field.
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Skills & Expertise:
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Deep knowledge of syntax, semantics, and discourse analysis.
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Familiarity with NLP models and technologies (e.g., NER, dependency parsing, tokenization).
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Analytical thinker with attention to linguistic nuances.
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Experience with corpus analysis, annotation, or data-driven research.
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Basic programming skills (Python preferred, but not required).
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Excellent communication skills for interdisciplinary collaboration.
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Bonus Points:
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Prior experience working with NLP tools or language datasets.
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Interest in real-world applications of language technologies in automation.
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Knowledge of AI frameworks and automation solutions.
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Final note
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal opportunities provider
Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
