ZipRecruiter

Log In

2

Entry Level Nlp Jobs in Texas (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

NLP or Computer Vision * AWS / Azure / Google Cloud Platform * Docker * Kubernetes * MLflow * CI/CD ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

IBM

Data Engineer Intern 2027

Dallas, TX

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

IBM

Data Engineer Intern 2027

Dallas, TX

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

All JobsNlp JobsEntry Level Nlp JobsEntry Level Nlp Jobs in Texas

Entry Level Nlp information

See Texas salary details

$9

$17

$25

How much do entry level nlp jobs pay per hour?

As of Aug 29, 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 August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $36,921 per year, or $17.8 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 18 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

Apply