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Entry Level Nlp Engineer Jobs (NOW HIRING)

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

... algorithms NLP models, Deep Learning models for image classification Desired Candidate Profile ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

New York Life

Associate - AI Engineer

Manhattan, NY

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... NLP or text-based models Exposure to cloud platforms (AWS or equivalent) through coursework or ...

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Entry Level Nlp Engineer information

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$30K

$69.4K

$118K

How much do entry level nlp engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for entry level nlp engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What are Entry Level NLP Engineers?

Entry Level NLP Engineers are professionals who specialize in Natural Language Processing (NLP) at the beginning of their careers. They work with human language data to develop, test, and implement algorithms that enable computers to understand and process natural language. Typical responsibilities include cleaning and preprocessing text data, training machine learning models, and assisting in the development of chatbots or language-based AI tools. Entry level positions often require a background in computer science, some experience with programming languages like Python, and familiarity with NLP libraries such as NLTK or spaCy.

What are some common challenges faced by entry-level NLP engineers when working on real-world projects?

Entry-level NLP engineers often encounter challenges related to handling messy or unstructured data, such as text with misspellings, slang, or multilingual content. Adapting pre-trained language models to specific business problems can also be complex, requiring careful fine-tuning and evaluation. Additionally, collaborating effectively with data scientists, product managers, and software engineers is essential, as projects are typically multidisciplinary. Gaining familiarity with production-level tools and best practices for deploying NLP models is another important learning curve at this stage.

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

To thrive as an Entry Level NLP Engineer, you need a solid background in computer science, programming (Python), and foundational knowledge of natural language processing concepts, typically supported by a relevant degree. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), machine learning frameworks (like TensorFlow or PyTorch), and version control systems is expected. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are essential soft skills. These competencies enable effective development, deployment, and collaboration on NLP projects in fast-evolving tech environments.
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Entry Level Nlp Engineer jobs near you
Infographic showing various Entry Level Nlp Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Entry Level Data Scientiest

Entry Level Data Scientiest

SynergisticIT

Manchester, NH • On-site

$16.50 - $22.25/hr

Other

Posted 25 days ago

Job description

Job Title

Job description

Good understanding of the below models:

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to client trends and patterns

Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine

Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree

Unsupervised/Clustering algorithms

NLP models, Deep Learning models for image classification

Desired Candidate Profile

Skills required:

Hands on experience Python scripting

Hands on experience in building Machine Learning and Artificial Intelligence models

Good knowledge on Exploratory Data Analysis (EDA)

Hands on experience on platforms - Microsoft Azure/Amazon Web Services

Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.

Excellent English communication (both oral and written) and reading comprehension skills.

Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

On Job Technical support

E- verified

Filing of H1b and Green card

Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

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