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Language Engineer Jobs (NOW HIRING)

xMentium

Language Engineer

Language Engineer Location: Remote Type: Full-Time Department: Language Engineering Reports to: Vice President of Language Engineering About Us At xMentium, we help enterprises turn their ...

Tangram Flex

Software Language Engineer

Dayton, OH · Hybrid

Tangram Flex is seeking a Software Language Engineer to design, implement, and maintain the custom, domain-specific programming and configuration language, emphasizing scalability and user experience ...

Tangram Flex

Software Language Engineer

Dayton, OH · On-site

Tangram Flex is seeking a Software Language Engineer to design, implement, and maintain the custom, domain-specific programming and configuration language, emphasizing scalability and user experience ...

Tangram Flex

Software Language Engineer

Dayton, OH · On-site

Tangram Flex is seeking a Software Language Engineer to design, implement, and maintain the custom, domain-specific programming and configuration language, emphasizing scalability and user experience ...

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$39K

$101.8K

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How much do language engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for language engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Language Engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a Language Engineer job?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What are the key skills and qualifications needed to thrive in the Language Engineer position, and why are they important?

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

More about Language Engineer jobs
What cities are hiring for Language Engineer jobs? Cities with the most Language Engineer job openings:
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Language Engineer jobs near you
Infographic showing various Language Engineer job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Language Engineer

xMentium

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Job Title: Language Engineer
Location: Remote
Type: Full-Time
Department: Language Engineering
Reports to: Vice President of Language Engineering
About Us
At xMentium, we help enterprises turn their unstructured language and documents into structured, usable data at scale. Our AI-powered platform, anchored by xTract, transforms sprawling repositories of contracts, licenses, technical documentation, communications, and other business-critical documents into clean, queryable metadata that powers analytics, agents, and downstream systems.
We work across industries, including media and entertainment, oil and gas, manufacturing, real estate, financial services, and enterprise AI transformation more broadly, helping customers ground their AI agents, accelerate due diligence, unlock the value trapped in legacy repositories, and finally make their documents work for them.
Our team combines deep subject matter expertise with AI, NLU, and language engineering to deliver solutions that are ambitious yet practical. We work independently, but never alone: we are part of a collaborative team where ideas, customer needs, and technical approaches start to align in powerful ways. As pioneers in language engineering, we help enterprises use their own documents and data as a strategic asset, turning critical content into structured intelligence they can trust and operationalize.
We understand that life is about more than just work and believe that driving to a headquarters is part of the problem. That's why we're a remote-first company and offer flexible work arrangements that empower you to balance your professional and personal life effectively. Your well-being is important to us, and we encourage a healthy work-life balance to ensure you have time for what matters most to you and can always do what you need to do.
About the Role
As a Language Engineer at xMentium, you'll be at the forefront of how enterprises curate, structure, and operationalize their most important content. You'll play a pivotal role in bridging the gap between subject matter experts and technology, designing and implementing extraction schemas, configuring AI-powered workflows, and delivering structured data that powers analytics, agents, and enterprise decision-making across a wide range of industries and use cases.
This role sits at the intersection of domain expertise, AI, and applied engineering. You will work directly with customers and prospects (running demos, leading working sessions, and configuring solutions) as well as spend time building, refining, and validating the capabilities that make xTract work. Your contributions will directly impact customer success and company growth, ensuring our solutions remain at the cutting edge.
Responsibilities
  • Implement and configure xMentium's AI-powered platform to extract structured data at scale from unstructured documents across industries such as media and entertainment, oil and gas, manufacturing, real estate, and more.
  • Partner with customers to define extraction schemas, taxonomies, and business rules that turn their document repositories into clean, queryable, machine-readable data.
  • Collaborate with software developers, customers, and product managers to define requirements, scope, and design of new platform capabilities.
  • Analyze customer processes and workflows to identify high-value opportunities for AI-driven automation and structured data extraction.
  • Support sales efforts with software demos and working sessions tailored to the customer's domain and data.
  • Lead testing, validation, and quality assurance (including human-in-the-loop review of extraction outputs) to ensure reliability and customer trust.
  • Provide training and support to users, facilitating adoption and offering technical assistance as needed.
  • Stay current on advancements in AI, LLMs, VLMs, OCR, and enterprise data platforms to continuously improve our offerings.
  • Gather user feedback and recommend enhancements to functionality, extraction quality, and user experience.
  • Assist with the management of customer implementations from inception through ongoing operation.

Requirements
  • Demonstrable history of customer-centric service and delivery.
  • Enterprise contracting, operations, or domain-expert experience in at least one or more of our target verticals: media and entertainment, oil and gas, manufacturing, real estate, or enterprise AI transformation .
  • Working familiarity with AI tools and functionality; specifically, a solid understanding of how LLMs work, their strengths and limitations, and how to prompt and evaluate them effectively.
  • Strong analytical and problem-solving abilities with keen attention to detail, especially when working with schemas, taxonomies, and structured data.
  • Demonstrable project management skills with the ability to manage multiple projects and customers simultaneously.
  • Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical users and executives.
  • Willingness to learn and adapt to new technologies as the AI and enterprise data landscape evolves.
  • A collaborative team player with a drive for results and a passion for innovation.
  • Bachelor's degree.

Plusses
  • Programming experience (Python, SQL, or similar).
  • Hands-on experience with AI and machine learning, particularly applied to enterprise document workflows.
  • Familiarity with Microsoft Fabric, Purview, Power BI, SharePoint, or similar enterprise data platforms.
  • Familiarity with agentic AI workflows and grounding techniques for LLM-based assistants and Copilots.
  • Juris Doctorate or equivalent domain credential.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Work From Home
  • Stock Option Plan

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