Computational Linguist

Job Description6 months contract can be extended/fully remote/Rate 50-60 pounds an hour inside IR 35 Umbrella.Computational Linguist / Knowledge Graph ExpertThe roleWe are looking for a skilled and motivated Computational Linguist to join our team and take ownership of the development and maintenance of our Knowledge Graph infrastructure. This role is ideal for someone passionate about languages, structured data and semantic technologies, with a strong background in taxonomies, ontologies and knowledge management. You will play a critical role in ensuring the coherence, scalability and long-term sustainability of our knowledge base systems.A solid understanding of machine learning and prompting techniques is highly desirable, along with the ability to critically assess how ML-driven solutions can be implemented effectively including their potential benefits, limitations, and associated risks in the context of knowledge representation and management.The ideal candidate will have experience working at the intersection between linguistics and programming, with the ability to define and maintain consistent criteria across a growing graph-based architecture. This position requires excellent analytical thinking, organizational autonomy, and the ability to collaborate effectively with both technical and non-technical profiles and teams. Key Responsibilities Design, develop and maintain the structure and content of the Knowledge GraphMaintain high-quality standards in manual labeling processes to ensure taxonomies population adheres to established guidelines.Define and update taxonomies, ontologies and classification systems to ensure semantic consistency and scalability across Reddits diverse content landscape.Collaborate with engineers, domain experts and curators/labellers teams to align taxonomy designs with Reddit goals.Organize and prioritize tasks both independently and coordinate with teammates for aligned deliverables.Document processes and contribute to the continuous improvement of workflows, tools and quality standards.Hard SkillsProven experience in taxonomy and ontology development and management.Strong understanding of linguistics annotation, language resources and semantic metadata.Detail-oriented mindset, with a proactive approach to error detection and quality assurance.Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc)Familiarity with data querying and manipulation (SQL, Python, etc)Must HaveData AnnotationData querying and manipulationFamiliarity with LLMsNatural Language Processing (NLP)Ontology DevelopmentTaxonomy ManagementSoft SkillsStrong organizational skills and ability to manage both individual and shared responsibilities with autonomy.Excellent communication and documentation abilities to cross-functional collaboration.Team player with a collaborative spirit and the ability to coordinate across multidisciplinary teams.Problem-solving attitude and willingness to iterate and refine existing processes

Created: 2025-07-03