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Part Time Nlp Engineer Jobs (NOW HIRING)

The Pennsylvania State University

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling ...

Implicit

AI Engineer (US-Based / Part-Time)

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site +1

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$99K - $225K/yr

Experience with project work in deep learning, computer vision, NLP, or signal processing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site +1

$98K - $129K/yr

Experience in deep learning, NLP, conversational AI, or computer vision * Experience supporting ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

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Part Time Nlp Engineer information

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$59.5K

$111.6K

$203K

How much do part time nlp engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for part time nlp engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Nlp Engineer vs Part Time Data Scientist?

AspectPart Time Nlp EngineerPart Time Data Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of NLP toolsBachelor's in Data Science, Statistics, or related; programming skills in Python/R
Work EnvironmentTech companies, research labs, startups focusing on language processingVarious industries including finance, healthcare, marketing, analyzing data trends
Employer & Industry UsagePrimarily in AI, NLP, and machine learning projectsAcross industries for data analysis, predictive modeling, and insights

Part Time Nlp Engineers focus on developing and optimizing natural language processing models, while Part Time Data Scientists analyze data to extract insights. Both roles require programming skills and relevant degrees, but Nlp Engineers specialize in language-specific tasks, whereas Data Scientists work broadly with data analysis across industries.

More about Part Time Nlp Engineer jobs
What cities are hiring for Part Time Nlp Engineer jobs? Cities with the most Part Time Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Part Time Nlp Engineer jobs? States with the most job openings for Part Time Nlp Engineer jobs include:
What job categories do people searching Part Time Nlp Engineer jobs look for? The top searched job categories for Part Time Nlp Engineer jobs are:
Part Time Nlp Engineer jobs near you
Infographic showing various Part Time Nlp Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Part-Time Assistant Programmer

Part-Time Assistant Programmer

Penn State University

University Park, PA • On-site

$57/hr

Part-time

Re-posted 5 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

204th of 555 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Computer Science and Engineering within the College of Engineering is seeking applicants for a part-time programmer.
The role: Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations. You'll implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.
What you'll do:
  • Stand up and own a PubMed or OpenAlex ETL that ingests open-access articles, normalizes metadata, and keeps our corpus fresh.
  • Use and/or fine tune transformer models (e.g., BERT variants) to extract semantic triples (like: (ingredient)-[biolink:ameliorates_condition]->(health condition)); build evaluation and error-analysis loops.
  • Implement a ranking layer that blends evidence strength (study design, sample size, effect size) with model confidence.
  • Build the recommendation/generative service that balances constraints (evidence score, compatibility, regulatory limits) and exposes a clean API.
  • Construct/maintain a knowledge graph that links every recommendation back to source papers (full provenance) and supports plain-language evidence summaries.
  • Collaborate tightly with PI and domain scientists; deliver milestones on a fast, 12-month pilot timeline.

Core stack we use (and you're comfortable with):
  • Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect).
  • APIs/services: RESTful design, auth, pagination, retries, structured logging, unit/integration tests, CI.
  • Storage/search: Postgres + vector/embedding store; graph DB experience welcome.
  • DevOps basics: containers, reproducible envs, simple local deploys, secrets management.

Nice to have:
  • Deep NLP experience (relation extraction, weak supervision, prompt/adapter tuning).
  • Semantic KGs (RDF/OWL, Neo4j/graph tooling), ontology work, and/or the Biolink Model.
  • Experience with biomedical text corpora and literature mining.
  • You've shipped scrappy, reliable research-to-prod systems before.

What you bring:
  • 3+ years professional Python and ML/NLP engineering, or equivalent portfolio.
  • Strong engineering hygiene (tests, docs, code review) and product sense.
  • Clear, direct communication in a remote team.
  • Bonus: prior work at the intersection of ML + biosciences/clinical data.

Logistics & pay:
  • Fully remote (U.S.); office space available at Penn State for hybrid/in-person if preferred.
  • Part-time at $57/hour, 20 hours/week, 50 weeks. Continuation beyond 50 weeks depends on renewal/next-round funding.
  • Please submit a brief cover letter and resume/CV.
  • For more information on restrictions for part-time remote employment locations: Notice to Out of State Applicants

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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