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Entry Level Nlp Engineer Jobs (NOW HIRING)

SynergisticIT

Software engineer

Tampa, FL

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... NLP, text mining, Tableau, time series analysis Please understand skills are required by clients ...

SynergisticIT

Entry Level Java/Backend Developer

Tampa, FL

$46 - $59.50/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines ...

Maverick Software

(Hybrid) Software Engineer Intern

MN · Hybrid

... NLP), and computer vision applications. * Automated Software Testing - Selenium, Playwright ... entry-level software engineer. You'll gain real-world experience in software development and ...

Maverick Software

(Hybrid) Software Engineer Intern

MN · On-site

... NLP), and computer vision applications. * Automated Software Testing - Selenium, Playwright ... entry-level software engineer. You'll gain real-world experience in software development and ...

CVS Health

AI Engineer

Richardson, TX · On-site

$72K - $144K/yr

... Entry-level role suited to a recent graduate with a foundation in applied AI/ML and software ... Experience with NLP or conversational AI, chatbot platforms (e.g., Agentforce), cloud (Azure), and ...

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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 19, 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, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Analytics Engineer I (Entry-Level) (3897)

Analytics Engineer I (Entry-Level) (3897)

Navarro Inc.

Oak Ridge, TN

Full-time

Posted 13 days ago

Job description

Navarro Research and Engineering is recruiting anAnalyticsEngineerI(Entry-Level)(3897)in Oak Ridge, TN.

Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.

Position Summary

The Analytics Engineer I (Entry-Level) will support Navarro's Data & Analytics team by helping build andmaintaindata pipelines,assistingwith reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing intoa strong analyticsor applied AI contributor, including work involving AI/ML techniques to extract, structure, andvalidatekey information from unstructured documents.

Responsibilities

  • Assistin designing, building, and maintaining data pipelines and ETL/ELT processes.
  • Write andoptimizeSQL queries to extract, transform, and analyze data from multiple sources.
  • Support the development of dashboards and reports using Excel and other business intelligence tools.
  • Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
  • Build and support AI/ML-driven workflows for extracting key text and structured data from documents, including NLP, LLM-based extraction, and OCR plus ML pipelines.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data and applied AI project needs.
  • Help document data models, pipeline logic, and AI/ML workflow processes.
  • Contribute todata quality checks and validation processes for both traditional data and AI-generated outputs.

Apply