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Intern Nlp Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Familiarity with NLP concepts and foundational Generative AI models. * Awareness of responsible AI ...

IBM

Data Engineer Intern 2027

Dallas, TX

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... 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

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g., JavaScript, SQL ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Familiarity with NLP concepts and foundational Generative AI models. * Awareness of responsible AI ...

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How much do intern nlp jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for intern nlp in Texas is $39.14, according to ZipRecruiter salary data. Most workers in this role earn between $13.53 and $62.15 per hour, depending on experience, location, and employer.

What is an intern NLP?

An Intern NLP (Natural Language Processing) job involves working on projects related to machine learning, linguistics, and AI to develop and improve language models, chatbots, and text-processing applications. Interns typically assist with data preprocessing, model training, and evaluating NLP algorithms under the guidance of senior engineers or researchers. They may also contribute to research papers, optimize model performance, and integrate NLP solutions into real-world applications.

What do intern NLPs do?

NLP interns commonly work on tasks such as preprocessing and cleaning textual datasets, developing and evaluating machine learning models for language understanding, and assisting in the integration of NLP solutions into existing products. You might also contribute to research prototypes, experiment with new algorithms, or help optimize model performance under the guidance of senior data scientists and engineers. Depending on the company, you could see your work impact chatbots, search engines, or automated document processing systems. The role is highly collaborative, often involving daily stand-ups, code reviews, and pairing with both peers and mentors. This practical, hands-on experience is designed to build your technical expertise while exposing you to real-world NLP challenges and workflows.

What skills and qualifications are needed to thrive as an intern NLP?

To thrive as an Intern in NLP (Natural Language Processing), you need a strong foundation in computer science, linguistics, and mathematics, often supported by current enrollment in a related degree program. Experience with programming languages such as Python, familiarity with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, and knowledge of machine learning frameworks are highly valued. Strong analytical thinking, curiosity, and clear communication skills set exceptional candidates apart. These skills are essential for contributing effectively to real-world NLP projects, learning from experienced professionals, and adapting to rapidly evolving technologies.

What are the most commonly searched types of Nlp jobs in Texas?

The most popular types of Nlp jobs in Texas are:

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Infographic showing various Intern Nlp job openings in Texas as of August 2026, with employment types broken down into 17% Internship, 1% As Needed, 53% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $81,415 per year, or $39.1 per hour.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 8 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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