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Nlp Developer Jobs (NOW HIRING)

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

As the AI Research Engineer, you will play a key role in the rapid growth of UL as you: * Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes. * Conducts ...

Sourceability

Principal NLP Scientist

Austin, TX · On-site

Stream | Software Engineering / AI & Machine Learning * Role Type | Principal-level individual contributor / technical leader The Principal NLP Scientist will work closely with software engineers ...

Capture2, Inc.

NLP Data Lead

San Diego, CA · On-site

We are seeking an application engineer with experience extracting key information from unstructured ... An individual with a background in NLP technologies will be integral to guiding the training and ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

... engineers to define product roadmap and feature specifications • Stay current with the latest technological advances in text mining, NLP processing, and machine learning Qualifications • ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ... feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ... feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

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How much do nlp developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for nlp developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a NLP developer?

An NLP developer is a software professional who designs and implements natural language processing systems that enable computers to understand, interpret, and generate human language. They typically work with machine learning models, programming languages like Python, and NLP libraries such as NLTK or spaCy to develop applications like chatbots, language translation, and sentiment analysis.

What does an NLP Developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

Is NLP in high demand?

NLP (Natural Language Processing) is a rapidly growing field within artificial intelligence, with increasing demand for NLP developers across industries such as tech, healthcare, and finance. Skills in machine learning, deep learning, and tools like Python and TensorFlow enhance job prospects, which are expected to remain strong as organizations prioritize automation and data analysis.

What are some common challenges faced by NLP Developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior researcher, or lead developer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve significant responsibility, expertise in programming languages like Python, and experience with AI frameworks, and they often offer compensation packages including salary, bonuses, and stock options. Such high salaries are rare and usually found in top tech companies or startups with substantial AI initiatives.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires specialized expertise, leadership roles, and a strong track record of impact.

What are the key skills and qualifications needed to thrive as an NLP Developer, and why are they important?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.
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Infographic showing various Nlp Developer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
AI Research Engineer - NLP

AI Research Engineer - NLP

UL Research Institutes

Remote

$98K - $135K/yr

Full-time

Posted 5 days ago

Job description

Job Description
We have an exciting opportunity for an AI Research Engineer atUL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity
The AI Research Engineer advances Digital Safety mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety assessment systems, with a focus on large language models (LLMs), natural language processing (NLP) safety. This role contributes to the development of rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights that improve the safety assessments of frontier AI systems.
UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice.
Digital Safety Research Institute:
The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world's digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem.
DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.
What you'll learn and achieve:
As the AI Research Engineer, you will play a key role in the rapid growth of UL as you:
  • Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes.

  • Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and troubleshooting skills.

  • Codes or trains text analytics needed to run NLP or LLM assessments. Prepares written component documentation for technical audiences.

  • Publishes assessment research results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.

  • Works closely with team members to ensure that all processes are accurate and technically sound.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Demonstrates mastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.

  • Solves AI assessment research challenges independently and efficiently.

  • Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale

  • Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.

  • Begins developing relationships within the broader safety community

Professional education and experience requirements for the role include:
  • Ph.D. in computer science or related field, focused on NLP or LLMs.

  • 3 years of relevant experience, post Ph.D.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
Salary Range:
$98,562.21-$135,523.04
Pay Type:
Salary

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