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Internship Natural Language Processing Intern Jobs in Texas

Jobtailor

Principal Data Scientist

Atlanta, TX · On-site

$140 - $190/hr

Requirements * 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI. * Strong foundation in Python ...

Forhyre

Prompt Engineers

Plano, TX

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Forhyre

Prompt Engineers

Dallas, TX · On-site

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Pyramid Consulting, Inc

Analyst

Irving, TX · On-site

... Natural Language Processing (NLP - Seal) and others. • Flexible collaboration, complex solution/commitment development and central contact point of multiple internal and external and different ...

Photon

Kore.AI developer with React JS - TX

Addison, TX · On-site

$100K - $117K/yr

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

Photon

Kore.AI developer with React JS - TX

Addison, TX

$100K - $117K/yr

Experience with natural language processing (NLP) and machine learning concepts. * Familiarity with RESTful APIs and web services. * Knowledge of other front-end frameworks (e.g., Angular, Vue.js) is ...

Siri InfoSolutions Inc

Angular Developer

Irving, TX · On-site

$55 - $65/hr

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

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Internship Natural Language Processing Intern information

What is the difference between Internship Natural Language Processing Intern vs Data Science Intern?

AspectInternship Natural Language Processing InternData Science Intern
Required CredentialsRelevant coursework in NLP, computer science, or linguistics; basic programming skillsBackground in statistics, mathematics, or computer science; programming skills
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization tasks in tech, finance, or consulting firms
Employer & Industry UsageCommon in AI startups, tech giants, and research institutionsWidely used across tech, finance, healthcare, and consulting industries

Both roles are internship positions requiring programming skills and relevant coursework. NLP Interns focus specifically on language processing tasks, while Data Science Interns work on broader data analysis and modeling projects. The choice depends on your interest in language technologies versus general data analysis.

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Internship Natural Language Processing Intern jobs near you

Principal Data Scientist

Jobtailor

Atlanta, TX • On-site

$140 - $190/hr

Other

Posted 15 days ago

Job description

Responsibilities
  • Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.
  • Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.
  • Developing robust evaluation frameworks and "gold-standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs.
  • Scaling AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code.
  • Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.
  • Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.
  • Applying emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.
Requirements
  • 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.
  • Strong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps.
  • Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.
  • Familiarity with creating evaluation metrics and building datasets for model validation and testing.
  • Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.
  • A desire to work at the intersection of data engineering and full-stack development, with the agility to pivot based on rapid sprint feedback.
Core Competencies

Demonstrates expertise in Natural Language Processing (NLP) and Generative AI, with a strong foundation in Python and cloud-native development. Capable of leading AI initiatives, implementing evaluation frameworks, and collaborating effectively across teams to integrate AI solutions into business workflows.

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