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Human Language Technology Jobs (NOW HIRING)

Support activities that rely on Computer Assisted Technology (CAT) tools, post-edited machine-translation, adaptive machine translation, speech-to-text, including Human Language Technology (HLT ...

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Human Language Technology information

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How much do human language technology jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for human language technology in the United States is $26.43, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $30.29 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Human Language Technology, and how can they be addressed?

Professionals in Human Language Technology often encounter challenges such as dealing with diverse linguistic data, managing ambiguities in natural language, and ensuring their models are inclusive across languages and dialects. Collaboration with linguists, data scientists, and software engineers is key to addressing these issues. Continuous learning and staying updated with the latest research and tools can help overcome technical hurdles, while a strong testing and evaluation process ensures robustness and fairness in language models.

What is the difference between Human Language Technology vs Natural Language Processing Specialist?

AspectHuman Language TechnologyNatural Language Processing Specialist
CredentialsDegree in Computer Science, Linguistics, or related fieldsDegree in Computer Science, Data Science, or Linguistics
Work EnvironmentResearch labs, tech companies, academiaTech companies, AI firms, research institutions
Industry UsageDevelops language tools, speech recognition, translationDesigns NLP algorithms, models, and applications
Search IntentHuman Language Technology roles and toolsNLP specialist careers and skills

Human Language Technology focuses on creating systems that process and understand human language, including speech recognition and translation. Natural Language Processing Specialists develop algorithms and models to enable machines to interpret and generate human language. While both roles overlap in language processing, Human Language Technology has a broader scope, often involving system development, whereas NLP specialists focus on algorithm design and implementation.

What is human language technology?

Human Language Technology (HLT) involves developing computational systems that process, understand, and generate human language. It includes applications like speech recognition, natural language processing, and machine translation, often requiring skills in linguistics, programming, and data analysis.

Which 5 jobs will survive AI?

Human Language Technology professionals, such as computational linguists and speech recognition engineers, are likely to continue thriving as they develop and improve AI language systems. Jobs requiring complex understanding, creativity, and emotional intelligence—like language teachers, writers, psychologists, and customer service representatives—are less susceptible to automation. Skills in critical thinking, interpersonal communication, and domain expertise will remain valuable in these roles.

What are the key skills and qualifications needed to thrive as a Human Language Technology Specialist, and why are they important?

To excel as a Human Language Technology Specialist, you generally need a strong background in computational linguistics, natural language processing (NLP), and programming, often supported by a degree in computer science, linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, spaCy, and experience with machine learning algorithms are highly valuable. Strong analytical thinking, problem-solving ability, and effective communication skills help specialists bridge the gap between technical development and user needs. These skills are essential for designing robust language technologies that efficiently interpret, process, and generate human language in real-world applications.

What are the highest paying language jobs?

Human Language Technology professionals such as computational linguists, speech scientists, and NLP engineers tend to have the highest salaries in language-related roles, especially those with expertise in machine learning, deep learning, and programming skills. Senior positions in tech companies or specialized research roles often offer six-figure compensation, particularly with advanced degrees and experience in AI and data analysis.

What jobs are linguists hired for?

Linguists are hired for roles such as language analysts, computational linguists, speech and language technologists, and natural language processing specialists. They work in areas like AI development, translation, transcription, and language data analysis, often requiring skills in programming, linguistics, and data management.
More about Human Language Technology jobs
What cities are hiring for Human Language Technology jobs? Cities with the most Human Language Technology job openings:
What states have the most Human Language Technology jobs? States with the most job openings for Human Language Technology jobs include:
Infographic showing various Human Language Technology job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $54,972 per year, or $26.4 per hour.
Human Language Technology Specialist

Human Language Technology Specialist

Pioneer Bible Translators

Dallas, TX • On-site

Full-time

Re-posted 26 days ago


Job description

Human Language Technology (HLT) is a form of artificial intelligence that uses computers to translate one language into another so that people can understand one another and access information they do not currently have in their language.
Passions:
  • Preserving the language, culture, and knowledge of minority people groups
  • A desire to see minority language groups have a voice on the world stage and to have access to information
  • A heart for marginalized people

Skills:
  • Training in applied linguistics and/or computational linguistics
  • Familiarity with and an ability to learn computer software
  • An analytical mind able to work through large amounts of data
  • Strong language learning skills and communication ability

Innovations in Human Language Technology (HLT) offer significant potential for helping under-resourced language communities find their voice. Whether text-to-text, text-to-speech, speech-to-text, or speech-to-speech, machine translation can help overlooked communities finally be understood in the world. HLT will bring critical educational resources to communities in a way they can understand, and offer new capabilities to the communities among whom we work.
Most of our teammates raise support on behalf of Pioneer Bible Translators for their ministry roles. Support raising is not about money - it's about prayerfully inviting people everywhere to participate in what God is doing to fulfill His mission.
We provide training to help you:
  • Gain confidence in communicating the Biblical foundation for living on support, asking others to invest, and understanding " The God Ask ."
  • Learn best practices and gain confidence in sharing your presentation.
  • Rehearse with your peers and make real calls for appointments.
  • Experience the value of meeting face to face with people and asking for support.
  • Discover how to cultivate lasting relationships with your supporters.

We will work with you to develop a budget based on your ministry role, where you're going, and your family's personal needs. Our goal is for you to be adequately funded to maximize the fruitfulness of your ministry and your family.