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Entry Level Large Language Model Llm Jobs in Portland, OR

ChatGPT Tutor

Portland, OR · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

Data Systems Engineer

Troutdale, OR · On-site

$65K - $75K/yr

AI workflow automation, large language models (LLMs), or internal AI-powered business applications Why Join Toyo Tanso USA? * Medical, Dental, and Vision Insurance with employer paying 90% of monthly ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models (Generative AI ... sign language interpreters, accessible and single location for in-person interviews, closed ...

Process Engineer

Hillsboro, OR · On-site

$70K - $75K/yr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

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Entry Level Large Language Model Llm information

See Portland, OR salary details

$16

$23

$30

How much do entry level large language model llm jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level large language model llm in Portland, OR is $23.84, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $26.25 per hour, depending on experience, location, and employer.

What is an entry level large language model LLM?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What are the key skills and qualifications needed to thrive as an entry level large language model LLM engineer?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What types of projects do entry level large language model LLM engineers typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Large Language Model Llm jobs in Portland, OR? The most popular types of Large Language Model Llm jobs in Portland, OR are:
What are popular job titles related to Entry Level Large Language Model Llm jobs in Portland, OR? For Entry Level Large Language Model Llm jobs in Portland, OR, the most frequently searched job titles are:
Infographic showing various Entry Level Large Language Model Llm job openings in Portland, OR as of July 2026, with employment types broken down into 4% Internship, 58% Full Time, 16% Part Time, 4% Temporary, and 18% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $49,582 per year, or $23.8 per hour.

Full-time

Re-posted 14 days ago


Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

154th of 614 rated colleges and universities


Job description

This position is focused on research-based computational and data-driven analysis of CRISPR screening datasets to study metabolic changes in cancer and other disease systems. Responsibilities include, but are not limited to, processing and analyzing large-scale CRISPR perturbation data, integrating CRISPR screening results with multi-omics datasets, developing computational pipelines to identify metabolic vulnerabilities and regulatory mechanisms, and supporting study coordination, data management, and related regulatory documentation.


  • Processing and analyzing CRISPR screening data, including data curation, normalization, quality control, hit identification, and downstream statistical analysis using Python, R, and other relevant software tools.
  • Integrating CRISPR perturbation data with transcriptomics, metabolomics, proteomics, and other omics datasets to identify metabolic pathway alterations, gene dependencies, and functional mechanisms.
  • Assisting in the development and implementation of robust computational pipelines, algorithms, and reproducible workflows for analyzing CRISPR-based functional genomics data and metabolic phenotypes.
  • Producing analytical summaries, reports, and data visualizations of CRISPR screening and multi-omics results, including statistical analyses, pathway enrichment results, gene dependency maps, and network-based interpretations.
  • Maintaining rigorous quality control standards, keeping careful records, and working closely with other scientists to coordinate analyses, interpret results, and troubleshoot technical issues.
  • Supporting the interpretation of screening results in the context of metabolic regulation, cellular adaptation, therapeutic response, and disease progression.
  • Working independently within established guidelines, using sound judgment in decision-making, and communicating effectively as part of an interdisciplinary research team.
  • Assisting with documentation and administrative tasks related to data access, protocol compliance, IRB-related paperwork, and other research regulatory requirements as needed.

  • PhD Degree in relevant field.

  • Experience or interest in data processing, text, numerical or imaging data analysis.

  • Experience with data analysis, high dimensional clinical or omics analysis, data visualization, and report generation.

  • Organizational skills, MS Office competency. Python, R, MATLAB, and C++ programming. Webserver and database development.

  • Ability to communicate effectively, relay issues and troubleshoot, problem solving abilities, and high attention to detail.


  • Experience in CRISPR screening data analysis and applications in metabolism related diseases.
  • Experience with data management, and high dimensional data analysis.

  • Experience in software development and/or image analysis pipeline development

  • Experience in machine learning and/or deep learning.

  • Knowledge of cloud computing, large language model, representational learning.

We are Oregon's only public academic health center.
In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington.
All are welcome.
OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply.
To request reasonable accommodation, contact askhr@ohsu.edu

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887