computational linguist

Meta

<div>Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will play a pivotal role in delivering datasets, models, and knowledge that power machine learning systems for the multimodal assistant product. Your responsibilities will include creating high-quality datasets, ensuring consistent models and representations across languages and domains, and developing data infrastructure to support AI assistant experiences. You will collaborate closely with ML teams working on components such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph, contributing to the advancement of cutting-edge AI technologies.The ideal candidate brings technical, analytical, and collaboration skills, with proven experience in building datasets for ML applications. While experience as an ML practitioner is beneficial, the primary focus is on dataset development and partnership with ML teams. Proficiency with data tools, pipelines, and analytics is essential. Multilingual abilities and a keen interest in NLP and/or conversational AI systems are highly valued, as is enthusiasm for working at the forefront of their development. Experience in any subfield of computational linguistics is a plus, though not a strict requirement.<br>
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<h3 class="jobSectionHeader"><b>Linguistic Engineer Responsibilities:
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</h3><ul><li>Build datasets, pipelines, and models to support machine learning applications</li><li>
Directly contribute to product development by creating rules, prompts, and implementing data patches</li><li>
Evaluate model and product quality, closing the feedback loop through continuous assessment and iteration</li><li>
Collaborate effectively with project stakeholders and cross-functional teams</li><li>
Identify best practices and drive improvements across data systems and processes</li><li>
Lead projects from conceptualization through launch, ensuring ongoing enhancement and support</li><li>
Design and execute product experiments to inform development and innovation</li><li>
Tackle complex problems and navigate ambiguity to deliver impactful, innovative solutions</li><li>
Manage and prioritize multiple work streams to meet project goals and deadlines</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Minimum 2 years of professional experience as a data scientist, software engineer, computational linguist, or in a similar technical role</li><li>
Proficient in programming and data analysis using languages and platforms such as Python, SQL, and PHP/Hack</li><li>
Hands-on experience with text analysis, scripting, and working with both relational and NoSQL databases</li><li>
Demonstrated success in shipping multiple products across various platforms</li><li>
Bachelor&rsquo;s degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
At least 5 years of professional experience as a data scientist, software engineer, or computational linguist, including hands-on work with machine learning and integrating knowledge graphs with lexicons or ontologies</li><li>
Understanding of how data interacts with and influences machine learning models</li><li>
Proven experience managing large scripting projects, such as combining language data from multiple sources and computing complex metrics over extensive datasets</li><li>
Skilled in designing and executing data experiments to inform product and model development</li><li>
Familiarity with programming best practices, including version control, unit testing, and code quality standards</li><li>
Fluency in one or more Indian/Asian languages</li><li>
Advanced coursework or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or a related discipline</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
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Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div>

Linguistic Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
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You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements, including for complex agentic functions</li><li>Practical experience with Machine Learning and technical concepts such as APIs</li><li>Practical knowledge of version control, agile development, database queries and data analysis processes (SQL, R, Matlab, etc.)</li><li>Able to think creatively and possess strong analytical and problem solving skills</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Language Engineer, Artificial General Intelligence - Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
<br>
<br>
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements</li><li>Extensive experience working with speech, text, and multimodal data in multiple languages</li><li>Experience in data creation for complex agentic workflows</li><li>Practical experience with Machine Learning and technical concepts such as API</li><li>Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

NTENT

<div><div><b>Research Scientist</b></div>
<div></div><div><b>Position:</b> Full time</div>
<div><b>Location:</b> Carlsbad office</div>
<div></div><div><b>About Us:</b></div>
<div>NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company&rsquo;s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.<br>
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We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.</div>
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<b>About the Opportunity:</b><br>
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.</div>
<div></div><div>We are looking for a <b>Research Scientist</b> to join our team and drive research and development efforts for our News Platform and systems that evaluate the quality of documents and detect misinformation.</div><br>
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<div></div><div><b>Duties and Responsibilities:</b></div>
<ul><li>Partner with product managers, machine learning scientists and engineers to formalize appropriate research questions that are relevant to our News Platform.</li>
<li>Conduct independent research, perform extensive literature reviews, sort through prior published work to find potential solutions.</li>
<li>Design experiments and lead data collection efforts.</li>
<li>Work with large amounts of text data and leverage statistical and machine learning methods.</li>
<li>Communicate and transfer solutions to production together with scientists and engineers.</li>
<li>Communicate ideas, methods, opportunities, and results to cross functional partners.</li></ul><br>
<div></div><div><b>Skills and Qualifications:</b></div>
<div></div><ul><li>Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences or other quantitative field.</li>
<li>3+ years of professional experience or equivalent experience in a research lab. Recent PhD graduates are especially encouraged.</li>
<li>Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing, entity recognition and extraction etc.)</li>
<li>Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.</li>
<li>End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.</li>
<li>Proficient with Python or R.</li>
<li>Experience with Spark, PySpark.</li>
<li>Exceptional written, verbal, and visual communication.</li>
</ul>
<div></div><div><b>The following experience is a plus:</b></div>
<ul><li>Experience in the news domain (fact checking, detecting misinformation etc.) and knowledge of journalistic principles highly desired.</li>
<li>Experience in computational journalism highly desired.</li>
<li>Publication track record is a big plus!</li>
</ul>
<div></div><div>The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.</div>
<div></div><div>We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.</div></div><div></div>

Research Scientist

U.S. Army

<p><strong>35P Cryptologic Linguist</strong></p><p>As a Signals Intelligence Voice Interceptor, you'll use your skills as a linguist to identify, categorize, translate, and summarize foreign language communications from a specific location. You'll also operate and oversee signals equipment used in signals intelligence operations. You'll learn the intelligence skills needed to conduct military briefings and tip the appropriate authorities when needed. This role is important because the nation's defense depends largely on information that comes from foreign languages.</p><p><strong>Requirements</strong></p><ul><li><p>U.S. Citizen</p></li><li><p>17 to 34 Years Old</p></li><li><p>High School Diploma or GED</p></li><li><p>Meet Tattoo Guidelines</p></li><li><p>No Major Law Violations</p></li><li><p>No Medical Concerns</p></li></ul><p><strong>Testing & Certifications</strong></p><ul><li><p>42 Nationally Recognized Certifications Available</p></li><li><p>10 weeks of Basic Training</p></li><li><p>5 to 20 weeks of Advanced Individual Training</p></li><li><p>85 or above on the Defense Language Aptitude Battery (DLAB) (active duty only)</p></li><li><p> 101 ASVAB Score: Skilled Technical (ST) can bypass DLAB with an ST score of 129 or above</p></li><li><p>36-64 weeks of education at the Defense Foreign Language Institute required if Soldier is not fluent in a foreign language</p></li></ul><p><strong>Skills You'll Learn</strong></p><ul><li><p>Foreign Communications</p></li><li><p>Translating & Reporting</p></li><li><p>Detection & Analysis</p></li></ul>

35P Cryptologic Linguist

Search 131+ Computational linguist jobs near you this January. New roles added regularly across leading industries. Apply today.

131 computational linguist jobs NEAR_ME

Linguistic Engineer

Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Research Scientist

35P Cryptologic Linguist

35P Cryptologic Linguist

35P Cryptologic Linguist