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Part Time Natural Language Processing Engineer Jobs

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Ability to deploy natural language processing, text mining, or machine learning techniques * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Data Analyst

Arlington, VA · On-site +1

$55K - $126K/yr

Ability to deploy natural language processing, text mining, or machine learning techniques ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Directsupply

Product Engineer Intern

Milwaukee, WI

In the Product Engineer Intern position, you'll support new product development and launches across ... Strong curiosity and motivation to explore AI capabilities such as natural language processing ...

Stellar IT Group

Base44 Vibe Coding

Saint Louis, MO · On-site

$22 - $29.50/hr

... seeking a part-time AI Developer to support projects leveraging Base44 AI and vibe coding ... Translate functional requirements into natural language prompts and validate generated code.

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · Remote

Start: Future projects in late 2026 or 2027 (not an immediate job opening) Type: Part-time ... Experience in Python NLTK or similar natural language processing technology. * Practical experience ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

Start: Future projects in late 2026 or 2027 (not an immediate job opening) Type: Part-time ... Experience in Python NLTK or similar natural language processing technology. * Practical experience ...

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Part Time Natural Language Processing Engineer information

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How much do part time natural language processing engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for part time natural language processing engineer in the United States is $87,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $106,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Natural Language Processing Engineer jobs?

The most popular types of Natural Language Processing Engineer jobs are:

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Part Time Natural Language Processing Engineer jobs near you
Infographic showing various Part Time Natural Language Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $87,739 per year, or $42.2 per hour.

Agentic AI Engineer Intern

Indianapolis, IN • On-site

Corteva, Inc.
Manufacturing • 10K+ employees
Learn more about Corteva, Inc.external

Part-time

Posted 4 days ago

Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

Job description

Corteva Agriscience™ is seeking innovative and highly motivated students to join our Research & Development organization as an AI Engineering Intern for our 2027 Summer Internship Program in Indianapolis, IN.
As artificial intelligence continues to transform scientific research, Corteva is expanding the use of AI agents, large language models (LLMs), and agentic workflows to accelerate discovery and decision-making across our R&D portfolio. This internship offers a unique opportunity to work at the forefront of enterprise AI deployment, helping to design, optimize, and scale AI-powered solutions that support research teams across the organization.
The selected intern will contribute to the development and governance of our growing AI ecosystem by organizing reusable agent capabilities, supporting Model Context Protocol (MCP) server deployments, and improving the efficiency of AI agent operations. A key focus of this role will be evaluating and optimizing LLM token consumption, helping reduce operational costs while maintaining high-quality agent performance.
This position provides hands-on experience with modern AI technologies, agent orchestration frameworks, enterprise AI infrastructure, and real-world R&D applications.
What You'll Do:
  • Collaborate with multidisciplinary teams of scientists, engineers, data scientists, and software developers to support AI-driven research initiatives.
  • Assist in the deployment, configuration, and maintenance of AI agents and supporting infrastructure.
  • Organize, document, and manage reusable AI resources, including MCP servers, agent Skills, prompts, and tool integrations.
  • Analyze LLM usage patterns and identify opportunities to improve token efficiency, response quality, and operational cost management.
  • Develop dashboards, metrics, and reporting processes to monitor agent performance, utilization, and effectiveness.
  • Contribute to the design and implementation of agentic workflows that automate research and business processes.
  • Support testing, evaluation, and continuous improvement of AI agents across multiple R&D use cases.
  • Participate in the development of best practices, governance standards, and documentation for enterprise AI systems.

What Skills You Need:
  • Currently enrolled as a full-time student at an accredited college or university.
  • Pursuing a Master's, or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Computer Engineering, or a related technical discipline.
  • Experience with Python programming and software development fundamentals.
  • Familiarity with machine learning, large language models, generative AI, or natural language processing concepts.
  • Experience working with data analysis, APIs, or cloud-based technologies (AWS, Azure).
  • Have the right to work in the U.S. without restriction.

What Makes You Stand Out:
  • Experience with LLM frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.
  • Familiarity with MCP (Model Context Protocol), agentic AI concepts, or AI orchestration platforms.
  • Experience working with AWS, or other cloud computing environments.
  • Knowledge of prompt engineering, retrieval-augmented generation (RAG), vector databases, or AI evaluation methodologies (e.g. MlFlow, sandbox environments).
  • Experience using Git, DevOps practices, and collaborative software development workflows.

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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