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Entry Level Nlp Engineer Jobs (NOW HIRING)

SynergisticIT

Entry Level ML Engineer

Dover, DE

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant ...

SynergisticIT

Entry Level ML Engineer

Charlotte, NC

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow Required Skills for Java/Full Stack ...

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

As of Jun 8, 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 May 2026, with employment types broken down into 3% Locum Tenens, 81% Full Time, 15% Part Time, and 1% Temporary. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Entry Level Software Engineer

Entry Level Software Engineer

SynergisticIT

Helena, MT

Other

Posted 27 days ago

Job description

SYNERGISTICIT understands that the job market is tough due to tech layoffs. Many laid-off jobseekers are competing with existing jobseekers, making it very competitive. Entry-level candidates need to stand out by having exceptional skills and technology knowledge to get noticed by clients.
Since 2010, we have helped jobseekers stand out by preparing them with the skills and experience needed to succeed in interviews and with clients. At SynergisticIT, we don't just help you find a job-we help build your career. All positions are open to all visa holders and U.S. citizens.
We understand the gap between employer requirements and employee skills. That's why we've helped thousands of people get jobs at top companies like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, and more. We have a great reputation with clients.
Current Open Positions

  • Entry-level software programmers
  • Java full-stack developers
  • Python/Java developers
  • Data analysts/data scientists
  • Machine learning engineers
Who Should Apply
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
  • Candidates of all visa types and U.S. citizens are welcome to apply.
  • We assist with filing STEM extensions, H1B visas, and Green Cards.
Skill Enhancement Programs Candidates can benefit from these programs if they:
  • Lack experience or are freshers with no real job experience.
  • Had a break in their career.
  • Lack the technical skills or competencies required by clients.
  • Are visa holders (e.g., OPT, H4 EAD, L2 EAD) who want to work and settle in the USA.
Check out success stories from our candidates here: https://www.synergisticit.com/candidate-outcomes/
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Required Skills for Java/Software Programmers
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Project experience with these skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with the needed technologies.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require relevant skills and experience on real-world projects, even for junior or entry-level positions. Hands-on project work at client sites and additional skills are key to being selected.
  • Candidates without these skills or project experience can opt for skill enhancement to gain the required qualifications and project work.
  • No third-party or c2c candidates, please.
  • Apply only through the posting.
  • No phone calls, and only shortlisted candidates will be contacted.

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