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Nlu Jobs (NOW HIRING)

Wipro Limited

Data NLU Egyptian L2

Seattle, WA · On-site

$37K - $83K/yr

Data NLU Egyptian L2 City: Seattle State/Province: Washington Posting Start Date: 6/8/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Wipro Limited

Data NLU European Portuguese L2

Redmond, UT · On-site

$37K - $83K/yr

Data NLU European Portuguese 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 ...

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$55K

$99.2K

$135.5K

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:
What states have the most Nlu jobs? States with the most job openings for Nlu jobs include:
What job categories do people searching Nlu jobs look for? The top searched job categories for Nlu jobs are:
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.
Data NLU Egyptian L2

Data NLU Egyptian L2

Wipro Limited

Seattle, WA • On-site

$37K - $83K/yr

Full-time

Medical, Dental, PTO

This job post has expired today. Applications are no longer accepted.

Wipro rating

7.2

Company rating: 7.2 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

120th of 208 rated it services

Job description

Job Title: Data NLU Egyptian L2
City: Seattle
State/Province: Washington
Posting Start Date: 6/8/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role Purpose
The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
͏
Roles and Responsibilities:
  • Familiarity with data processing and visualization languages and tools such as Python.
  • Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.
  • Understanding of the relationship between data and machine learning models.
  • Ability to read and adapt existing scripts for data manipulation, both in peer-developed notebooks and within the command line.
  • Knowledge of the main differences across dialects/varieties of the POLISH
  • Excellent communication and teamwork skills
  • Ability to work with a large amount of language data
  • Ability to work with diverse and quickly changing workflow
  • Ability to learn new things quickly
  • High level of flexibility and ability to quickly adapt to new types of tasks

Competencies
Client Centricity
Passion for Results
Execution Excellence
Collaborative Working
Learning Agility
Problem Solving & Decision Making
Effective communication
Mandatory Skills: OLTP Databases.
Experience: 1-3 Years.
The expected compensation for this role ranges from $37,500 to $83,600 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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