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Entry Level Nlp Jobs in Texas (NOW HIRING)

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Entry Level Nlp information

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$9

$17

$25

How much do entry level nlp jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level nlp in Texas is $17.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.95 per hour, depending on experience, location, and employer.

What is an entry level NLP?

An Entry Level NLP (Natural Language Processing) job involves working with language-based data to develop and improve AI models, such as chatbots, text classification, and sentiment analysis. Responsibilities typically include data preprocessing, implementing machine learning models, and assisting in model evaluation. Common tools used are Python, NLP libraries (such as spaCy and NLTK), and deep learning frameworks like TensorFlow or PyTorch. These roles are ideal for those with a background in computer science, linguistics, or machine learning.

What does an entry level NLP do?

In an Entry Level NLP role, your days often involve working with large datasets of text, cleaning and preprocessing data, and experimenting with different NLP algorithms to solve real-world language problems. You will usually collaborate closely with senior data scientists, software engineers, and product teams to develop and test models that enhance features like chatbots, search engines, or content recommendation systems. Expect to spend significant time coding, analyzing results, and participating in team meetings to discuss project progress. This position offers a highly collaborative environment and valuable exposure to best practices and advanced techniques in both machine learning and natural language processing.

What are the key skills and qualifications needed to thrive as an entry level NLP?

To thrive as an Entry Level NLP (Natural Language Processing) professional, you need a solid background in computer science, programming (especially Python), and foundational knowledge of machine learning concepts. Familiarity with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, as well as experience using version control tools like Git, is often expected. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate within multidisciplinary teams and tackle challenging language data tasks. These skills are crucial for efficiently developing, evaluating, and improving language-based models and applications in a fast-evolving technical environment.

What are the most commonly searched types of Nlp jobs in Texas? The most popular types of Nlp jobs in Texas are:
What are popular job titles related to Entry Level Nlp jobs in Texas? For Entry Level Nlp jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Nlp jobs in Texas look for? The top searched job categories for Entry Level Nlp jobs in Texas are:
What cities in Texas are hiring for Entry Level Nlp jobs? Cities in Texas with the most Entry Level Nlp job openings:
Entry Level Nlp jobs near you
Infographic showing various Entry Level Nlp job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,921 per year, or $17.8 per hour.

Junior/Entry Level Coder - Remote

SynergisticIT

Arlington, TX • On-site

$60K - $78K/yr

Other

Re-posted 14 days ago

Job description

Synergisticit Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi) Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab S etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want data science/machine learning/data analyst and Java full stack candidates. Required skills for Java/full stack/DevOps positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions required skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidate.

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