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- Tasks: Join us as a Computational Linguist to develop and maintain our Knowledge Graph infrastructure.
- Company: Russell Tobin is a leading recruitment agency focused on connecting talent with innovative companies.
- Benefits: Enjoy fully remote work, competitive pay of £50-60 per hour, and potential contract extension.
- Why this job: Be part of a dynamic team shaping the future of AI and language technology.
- Qualifications: Experience in taxonomy, ontology development, and familiarity with NLP and data manipulation required.
- Other info: This is a mid-senior level contract role with opportunities for collaboration across diverse teams.
Get AI-powered advice on this job and more exclusive features.Direct message the job poster from Russell TobinLead Recruiter at Russell Tobin UK/Ireland/Netherlands6 months contract can be extended/fully remote/Rate 50-60 pounds an hour inside IR 35 Umbrella.The 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 ResponsibilitiesDesign, 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 Reddit’s 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)Taxonomy 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 processesSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeContractJob functionIndustriesSocial Networking PlatformsReferrals increase your chances of interviewing at Russell Tobin by 2xGet notified about new Computational Linguist jobs in London Area, United Kingdom.London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoPaddington, England, United Kingdom 1 day agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom $35,000.00-$46,000.00 1 month agoLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 4 months agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 2 months agoAI Solution Engineer (12-month fixed term contract, renewable)London, England, United Kingdom 1 week agoPython and Kubernetes Software Engineer – Data, Workflows, AI/ML & AnalyticsLondon, England, United Kingdom 2 weeks agoAI Trainer – Advanced HTML/ CSS DevelopersLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 4 months agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 3 months agoSenior Staff Machine Learning Scientist, OperationsLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 months agoSenior Full Stack AI Engineer | Node.js | React.js | LLMs | Remote Europe | Up to £100KWe’re unlocking community knowledge in a new way. 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Computational Linguist employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Linguist
✨Tip Number 1
Familiarise yourself with the latest trends in computational linguistics and knowledge graph technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of computational linguistics and knowledge management. Join relevant online forums or LinkedIn groups where you can share insights and learn from others, which could lead to valuable connections.
✨Tip Number 3
Prepare to discuss your experience with taxonomies and ontologies in detail. Be ready to provide examples of how you've successfully implemented these in past projects, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your collaborative spirit by highlighting any past experiences where you've worked with cross-functional teams. Emphasising your ability to communicate effectively with both technical and non-technical colleagues will set you apart.
We think you need these skills to ace Computational Linguist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in taxonomy and ontology development, as well as your familiarity with NLP and LLMs. Use specific examples to demonstrate your skills in these areas.
Craft a Strong Cover Letter: In your cover letter, express your passion for languages and structured data. Discuss how your background aligns with the responsibilities of the role, particularly in knowledge management and collaboration with technical teams.
Showcase Relevant Projects: If you have worked on projects involving knowledge graphs or semantic technologies, be sure to include them in your application. Detail your role and the impact of your contributions to highlight your expertise.
Highlight Soft Skills: Emphasise your organisational skills and ability to work autonomously. Mention your communication skills and collaborative spirit, as these are crucial for working effectively with multidisciplinary teams.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your Linguistic Passion
Make sure to express your enthusiasm for languages and how they relate to technology. Discuss any personal projects or experiences that highlight your passion for linguistics and structured data.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with taxonomies, ontologies, and knowledge management. Highlight specific tools or programming languages you've used, such as SQL or Python, and how they apply to the role.
✨Prepare for Collaboration Questions
Since the role involves working with both technical and non-technical teams, think of examples where you've successfully collaborated across disciplines. Be ready to explain how you communicate complex ideas clearly.
✨Discuss Problem-Solving Approaches
Expect questions about how you handle challenges in your work. Prepare to share specific instances where you've identified problems and iterated on processes to improve outcomes, especially in relation to quality assurance.
