8 Computational Linguistics Jobs

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the worlds biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, were helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert AI Training & Content Writing Experience Level: Degree in Linguistics or a related field Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Identify and resolve issues related to ambiguity, bias, and grammaticality. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Qualifications: Degree in Linguistics, Applied Linguistics, Computational Linguistics, or a related field. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Show more Show less

About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert AI Training & Content Writing Experience Level: Master&aposs or PhD in Linguistics or a related field Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Identify and resolve issues related to ambiguity, bias, and grammaticality. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Qualifications: Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Show more Show less

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. Located in Kollam, Kerala, the department is looking to fill a total of 5 positions. The ideal candidates should hold a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. Candidates with a Ph.D. or Post-Doc from a highly ranked (top 200) university will be given preference. Strong teaching experience, a robust research background, and graduation of PhD scholars are required for the Associate Professor and Professor roles. Research scholars who have submitted their PhD thesis are also encouraged to apply for the Assistant Professor position. Interested individuals with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game Development, and Theoretical Computer Science / Algorithms are invited to submit their C.V. with SCOPUS ID/ORCID and publication list to csjobs@am.amrita.edu. This position falls under the category of Teaching and the last date to apply is December 31, 2024. For further details, please contact csjobs@am.amrita.edu.,

The Department of Computer Science at the National University of Singapore (NUS) is excited to announce multiple openings in a new research lab led by Dr. Tan Xuan, starting in August 2025. The lab aims to advance cooperative intelligence through rational, model-based artificial intelligence engineering. We are seeking applications from individuals interested in joining as PhD students, postdoctoral researchers, research assistants, or visiting students in this dynamic and interdisciplinary research setting. Ideal candidates may come from diverse backgrounds, including but not limited to Computer Science, Artificial Intelligence, Robotics, Cognitive Science, and Computational Linguistics. The research topics of interest in this lab encompass various areas such as modeling and engineering human-like cooperative agents, developing cooperative infrastructure for human-human and human-machine interactions, exploring applications of rational cooperative AI, and utilizing probabilistic programming and model-based planning for safe AI. Applicants should demonstrate a keen interest or experience in one or more of the aforementioned research topics. A strong academic background in a relevant field is essential. For PhD applicants, eligibility for the NUS Computer Science PhD program is required as per departmental guidelines. Postdoctoral and research assistant applicants with relevant research experience and publication records are preferred. Prospective candidates are encouraged to reach out directly to Dr. Tan Xuan via email at xuan [at] mit [dot] edu, providing information about their interests and background. For PhD applicants, the upcoming application deadline is on 15 June 2025 for the January 2026 intake. For further details on the application process and research focus areas, visit: https://ztangent.github.io/recruiting/ Join us on this exciting journey towards advancing cooperative intelligence through cutting-edge research in artificial intelligence engineering at NUS!,

As a Technical Solutions Consultant, you will be responsible for managing the technical relationship with our largest advertising clients and product partners. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to implement cutting-edge technologies for our external clients/partners. Your role will involve overseeing the technical execution and business operations of Google's online advertising platforms and product partnerships, from concept design and testing to data analysis and support. You will need to strike a balance between business objectives and technical constraints, developing innovative solutions and serving as a reliable partner and consultant to your stakeholders. Additionally, you will be involved in building tools, automating products, managing Google's partnerships, driving product strategy, and prioritizing projects and resources. Google Cloud is dedicated to helping organizations digitally transform their businesses by offering enterprise-grade solutions powered by Google's advanced technology, enabling developers to build more sustainably. Customers worldwide rely on Google Cloud to drive growth and address their most critical business challenges. Your responsibilities will include building virtual agent solutions using Google's core conversational AI platforms like Dialogflow. You will collaborate with customer technical leads, client executives, and partners to plan, execute, and deliver successful implementations of Contact Center AI solutions, establishing yourself as a trusted advisor to key decision-makers. Working closely with sales, partners, and customer technical stakeholders, you will oversee project scope, priorities, deliverables, risks, and timelines to ensure successful client outcomes. By advocating for customer needs, you will help address adoption challenges and influence new feature development based on your field expertise. Moreover, you will be tasked with proposing solution architectures and overseeing the deployment of cloud-based virtual agent solutions tailored to complex customer requirements and industry best practices. This role will require approximately 30% travel for client engagements, where you will play a pivotal role in driving successful implementations and enhancing customer experiences through innovative AI solutions.,

We are seeking a Computational Linguist with exceptional analytical capabilities, a solid foundation in linguistics, and extensive expertise in language technology to contribute to the enhancement and development of language products. As a Computational Linguist, your primary responsibility will involve collaborating closely with engineers, researchers, and language experts. Key Requirements: - Educational background in natural language processing, computational linguistics (CL), linguistics, or related disciplines at the Bachelors/Masters/PhD level. - Minimum of 2 years of hands-on experience in the industry. - Profound comprehension of English grammar and style. - Demonstrated passion for problem-solving and a relentless drive to explore innovative solutions. - Prior experience in Natural Language Processing (NLP) and Computational Linguistics (CL). - Familiarity with Deep Learning (DL) and Machine Learning (ML). - Proficiency in programming languages such as Java, C, C++, or Python. - Desirable to have authored publications in reputable NLP or AI conferences. If you are enthusiastic about this opportunity, please send us an email at hr@crimsoni.ai.,

As a Technical Solutions Consultant at Google, you will have the opportunity to work with our largest advertising clients and product partners. Your role will involve leading cross-functional teams in Engineering, Sales, and Product Management to utilize emerging technologies for external clients and partners. From designing concepts to analyzing data and providing support, you will oversee the technical aspects and business operations of Google's online advertising platforms and product partnerships. In this position, you will need to find a balance between business requirements and technical limitations, come up with innovative solutions, and serve as a consultant to your colleagues. You will play a key role in building tools, automating products, managing technical operations, and developing product strategies for Google's partnerships. Google Cloud aims to accelerate digital transformation for organizations worldwide by offering enterprise-grade solutions powered by cutting-edge technology. We assist developers in creating sustainable solutions, and customers from over 200 countries rely on Google Cloud to drive growth and address their most critical business challenges. Your responsibilities will include building virtual agent solutions using Google's core conversational AI platforms like Dialogflow. You will collaborate with customer technical leads, client executives, and partners to define, manage, and implement successful Contact Center AI solutions, acting as a trusted advisor throughout the engagement. Additionally, you will engage with sales, partners, and technical stakeholders to oversee project scope, prioritize tasks, manage risks and timelines, and advocate for customer requirements to drive feature development. Proposing solution architectures, deploying cloud-based virtual agent solutions, and traveling for client engagements will also be part of your role. By applying to this position, you will have the opportunity to work in Bengaluru, Karnataka, India, or Gurgaon, Haryana, India. Minimum qualifications for this role include a Bachelor's degree in Computer Science or equivalent practical experience, at least 3 years of experience in computational linguistics or engineering, experience working with customers, executives, and technical leads, as well as experience in building chatbots or voicebots. Preferred qualifications include experience in launching chatbot or voicebot applications, building cloud-based conversational AI solutions, familiarity with natural language processing, and strong leadership, collaboration, communication, presentation, and problem-solving skills in AI or Machine Learning field.,

The Department of Computer Science at the National University of Singapore (NUS) is pleased to announce multiple openings in the new research lab led by Dr. Tan Xuan, starting in August 2025. The lab's primary focus is on advancing cooperative intelligence through rational, model-based artificial intelligence engineering. If you are interested in contributing to this dynamic and interdisciplinary research environment, we invite applications from PhD students, postdoctoral researchers, research assistants, and visiting students. We are looking for candidates with backgrounds in various academic fields such as Computer Science, Artificial Intelligence, Robotics, Cognitive Science, and Computational Linguistics. The research topics of interest include modeling and engineering human-like cooperative agents, cooperative infrastructure for human-human and human-machine interactions, applications of rational cooperative AI, and probabilistic programming and model-based planning for safe AI. To be considered for these positions, you should have a demonstrated interest or experience in one or more of the research topics mentioned above, along with a strong academic record in a relevant field. For PhD applicants, eligibility for the NUS Computer Science PhD program is required, as per departmental requirements. For postdoctoral and research assistant applicants, relevant research experience and a publication record are advantageous. Prospective candidates are encouraged to reach out to Dr. Tan Xuan directly at xuan [at] mit [dot] edu, sharing details about their interests and background. The next application deadline for PhD applicants is 15 June 2025 for the January 2026 intake. For additional information on the application process and research topics, please visit: https://ztangent.github.io/recruiting/ If you are passionate about advancing cooperative intelligence through artificial intelligence engineering and wish to be part of a cutting-edge research lab at NUS, we welcome your application and look forward to potentially working together towards exciting research breakthroughs.,