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Nlu Jobs (NOW HIRING)

Roberts Recruiting

NLU Engineer

Cambridge, MA · On-site

Help maintain and extend the current NLU solution as part of our robot and SDK products * Help improve the NLP performance (speed and coverage) based on data analysis * Add features to the NLU ...

Wipro Limited

Data NLU Malay L2

Sunnyvale, TX · On-site

$37K - $83K/yr

Data NLU Malay L2 City: Sunnyvale State/Province: California Posting Start Date: 6/25/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Wipro Limited

Data NLU Marathi L2

Redmond, UT · On-site

$37K - $83K/yr

Data NLU Marathi L2 City: Redmond State/Province: Washington Posting Start Date: 6/10/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Wipro Limited

Data NLU Hebrew L2

Redmond, UT · On-site

$37K - $83K/yr

Data NLU Hebrew L2 City: Redmond State/Province: Washington Posting Start Date: 6/16/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Wipro Limited

Data NLU Tamil L2

Redmond, UT · On-site

$37K - $83K/yr

Data NLU Tamil L2 City: Redmond State/Province: Washington Posting Start Date: 6/10/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

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Nlu information

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$55K

$99.2K

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How much do nlu jobs pay per year?

As of Jul 9, 2026, the average yearly pay for nlu in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Nlu vs Data Scientist?

AspectNluData Scientist
Required credentialsDegree in Computer Science, Linguistics, or related fields; knowledge of NLP toolsDegree in Computer Science, Statistics, or related fields; strong programming skills
Work environmentTech companies, AI startups, NLP-focused teamsVarious industries including tech, finance, healthcare, analyzing data for insights
Employer and industry usageUsed in companies developing chatbots, voice assistants, NLP applicationsUsed across industries for data analysis, predictive modeling, and decision-making

While Nlu specialists focus on developing and implementing natural language understanding systems, Data Scientists analyze large datasets to extract insights and build predictive models. Both roles require strong technical skills, but Nlu is more specialized in language processing, whereas Data Scientists have a broader focus on data analysis across various domains.

What are some common challenges faced by Natural Language Understanding (NLU) engineers when working with multilingual datasets?

NLU engineers often encounter challenges such as handling language-specific nuances, dialects, and idiomatic expressions when working with multilingual datasets. Ensuring accurate intent recognition and entity extraction across different languages requires robust preprocessing and often the development of language-specific models or resources. Collaboration with linguists and leveraging transfer learning techniques are common strategies used to address these complexities. Additionally, maintaining consistency in data labeling and evaluation metrics across languages is crucial for building reliable NLU systems.

What are NLUs (Natural Language Understanding specialists)?

NLUs, or Natural Language Understanding specialists, are professionals who design and develop systems that enable computers to understand human language. Their work involves creating algorithms and models to interpret text or speech, extract meaning, and facilitate natural interactions between humans and machines. NLUs often work in fields like artificial intelligence, machine learning, and computational linguistics, contributing to products such as chatbots, virtual assistants, and automated translation services. They typically have expertise in linguistics, programming, and data analysis.

What are the key skills and qualifications needed to thrive as an NLU (Natural Language Understanding) Engineer, and why are they important?

To thrive as an NLU Engineer, you need a solid background in computational linguistics, machine learning, and programming (often with Python), typically supported by a degree in computer science or a related field. Familiarity with NLP libraries (such as spaCy, NLTK, or Hugging Face), experience with deep learning frameworks (like TensorFlow or PyTorch), and understanding of cloud platforms are standard technical requirements. Strong problem-solving skills, attention to detail, and the ability to collaborate cross-functionally help set top performers apart. These skills are essential to developing accurate, robust language models and solutions that power real-world conversational AI applications.
More about Nlu jobs
What cities are hiring for Nlu jobs? Cities with the most Nlu job openings:
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Nlu jobs near you
Infographic showing various Nlu job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
NLU Engineer

NLU Engineer

Roberts Recruiting

Cambridge, MA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are the creator of the world's first social robot for the home and are looking for a talentedNLU Engineerto join our Speech team at our corporate headquarters in Boston, MA.
Responsibilities:
  • Help maintain and extend the current NLU solution as part of our robot and SDK products
  • Help improve the NLP performance (speed and coverage) based on data analysis
  • Add features to the NLU software to empower skill developers to continuously improve the coverage and the accuracy of the natural language understanding system
  • Work with the team to push the envelope of the NLU paradigm
Required Qualifications:
  • A MS degree in Computer Science with a focus on NLP
  • 3+ years of experience in the field of natural language understanding product development, with practical experience in shipping products that include NLU components or creating NLU/Dialog services used by customers
  • High proficiency in C/C++
  • A good understanding of FSTs and current machine learning approaches to NLU
  • Ability to work collaboratively across teams
Desired Qualifications:
  • Experience in embedded systems development
  • Practical experience with FSTs and ML for NLU
  • A passion for software, AI or Robotics

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