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Ai Llm Data Labeling Jobs in Oregon (NOW HIRING)

Data leakage and sensitive information disclosure * Insecure tool/function calling * Agentic AI ... Familiarity with LLM application and agent-orchestration frameworks, inference provider APIs ...

Serve as executive sponsor or engagement leader on key AI, LLM, and data adoption programs; own delivery quality, risk management, and business outcomes * Oversee change roadmaps, stakeholder ...

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications * Engage ...

Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer service skills and ability to quickly establish technical credibility and relationships with ...

Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer service skills and ability to quickly establish technical credibility and relationships with ...

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

... data-intensive solutions in production. Technical / Functional Skills * Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM ...

Forward Deployed AI Engineer

OR · On-site +1

$103K - $139K/yr

... and Data Intelligence Platform. This role requires strong engineering skills, curiosity about ... Support implementation of AI orchestration, LLM integrations, and agentic decision models. Full ...

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

Support the development of LLM-based tools and AI applications for care team workflows * Develop and maintain Python code for data processing, model development, and ML pipelines, following software ...

Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi ... Experience with Agentic AI / LLM systems, including: * Tool-calling architecture * RAG pipelines

Basic understanding of AI, LLM, or NLU concepts and terminology. * Ability to follow and document ... Awareness of common AI risks such as data quality or model limitations. * Familiar in learning ...

Manage software delivery of conversational AI, LLM, or NLU projects. * Ability to assess AI use cases at a basic level and support evaluation of data readiness. * Partner with technical teams to ...

Real, hands-on AI/data competency sufficient to identify use cases, and delivery risk for agentic AI/LLM and data solutions (for example, RAG, MCP-style servers, agent orchestration, evals, and data ...

Real, hands-on AI/data competency sufficient to identify use cases, and delivery risk for agentic AI/LLM and data solutions (for example, RAG, MCP-style servers, agent orchestration, evals, and data ...

Senior AI Engineer, Real-World Data

OR · On-site +1

$122K - $161K/yr

The ideal candidate combines strong hands-on engineering with experience shipping LLM-powered ... AI systems that improve the quality and reliability of clinical data extraction in production.

Data Scientist

OR · On-site +1

Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn * Experience building and shipping ML or GenAI applications-from ...

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

... LLM-based experiences. * Partner with the Lead AI Solutions Architect and AI Data Engineer to ... translate Human Capital product needs into secure, scalable technical designs and delivered ...

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Showing results 1-20

Ai Llm Data Labeling information

What is AI LLM data labeling?

AI LLM data labeling is the process of annotating or tagging data—such as text, images, or audio—to provide clear examples that help train large language models (LLMs) like GPT or BERT. This labeled data is essential for teaching models to understand context, intent, and meaning, which improves their performance on various tasks. Data labelers often follow specific guidelines to ensure consistency and accuracy, making their role critical in developing reliable AI systems.

What are some common challenges faced in AI LLM data labeling and how can they be managed?

One common challenge in AI LLM data labeling is ensuring consistency and accuracy when annotating large volumes of complex language data. Labelers often encounter ambiguous or context-dependent text, making it important to follow detailed guidelines and participate in regular calibration sessions with the team. Collaboration with data scientists and project managers is essential to clarify edge cases and refine labeling criteria. Proactively communicating questions and feedback helps maintain high-quality datasets, which are critical for training reliable language models.

What are the key skills and qualifications needed to thrive as an AI LLM data labeling specialist, and why are they important?

To thrive as an AI LLM Data Labeling Specialist, you need keen attention to detail, strong analytical skills, and a foundational understanding of natural language processing concepts, often supported by familiarity with data annotation guidelines. Experience with labeling platforms (such as Labelbox or Prodigy), spreadsheet tools, and sometimes proficiency in scripting languages like Python is highly valued. Excellent communication, consistency, and critical thinking are crucial soft skills for interpreting ambiguous data and ensuring labeling accuracy. These skills and qualifications are vital for producing high-quality training data that directly impacts the performance and reliability of large language models.

What is the difference between Ai Llm Data Labeling vs Data Annotation Specialist?

AspectAi Llm Data LabelingData Annotation Specialist
CredentialsBasic technical skills, familiarity with labeling toolsSimilar technical skills, often with additional domain knowledge
Work EnvironmentData labeling platforms, remote or office settingsData annotation projects, remote or onsite
Industry UsageAI, machine learning, NLP projectsData preparation across various industries including AI

Ai Llm Data Labeling and Data Annotation Specialist roles both involve preparing data for machine learning models. However, Ai Llm Data Labeling typically focuses on labeling data specifically for large language models, requiring familiarity with NLP and AI tools. Data Annotation Specialists may work across broader data types and industries, with a focus on accurate data tagging. Both roles demand similar skills but differ in scope and application within AI projects.

What are popular job titles related to Ai Llm Data Labeling jobs in Oregon?

For Ai Llm Data Labeling jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Llm Data Labeling jobs in Oregon look for?

The top searched job categories for Ai Llm Data Labeling jobs in Oregon are:

What cities in Oregon are hiring for Ai Llm Data Labeling jobs?

Cities in Oregon with the most Ai Llm Data Labeling job openings:

Senior AI/LLM Penetration Tester

Bishop Fox

OR • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

For more than two decades, Bishop Fox has defined the forefront of offensive security. By combining elite human expertise with the power of its proprietary Cosmos AI engine, the firm delivers industry-leading cloud and application security services, including AI-powered penetration testing and AI/LLM security assessments that reflect real-world attacker behavior. Renowned for its innovation and contributions to the open-source community through flagship tools likeSliverandAIMap, Bishop Fox has released 25+ tools and 75+ advisories in the last 10 years. 

As a trusted partner to the world's most recognizable brands, Bishop Fox protects 26 of the Fortune 100, eight of the top 10 global tech companies, all of the top five global media companies, 10 of the top 20 retailers and 7 of the top 10 manufacturers. A consistent market leader, Bishop Fox has been recognized as a Leader and "Fast Mover" in the GigaOm Radar for Attack Surface Management for five consecutive years. With a 70 NPS rating, the firm remains the trusted partner for organizations seeking to stay ahead of the evolving threat landscape. Learn more atbishopfox.com. 

We are now hiring a Senior AI/LLM Security Consultant to help clients stay ahead of emerging AI threats by conducting cutting-edge security assessments of large language models, AI agents, and AI-powered applications. 

Who You Are and What You'll Do 

Our wants are simple: be good at-and most importantly-love what you do. Here's what we're looking for: 

  • 5+ years of offensive security experience performing penetration tests, red team engagements, or application security assessments  
  • Experience assessing AI/LLM-powered applications for vulnerabilities such as:  
    • Prompt injection  
    • Jailbreak techniques  
    • Indirect prompt injection  
    • Data leakage and sensitive information disclosure  
    • Insecure tool/function calling  
    • Agentic AI abuse  
    • Model misuse and unsafe output generation  
    • Understanding of modern AI architectures, including:  
  • Experience performing manual application security testing beyond automated scanning  
  • Strong understanding of web application security fundamentals, including the OWASP Top 10 Web, Agentic, and LLM Applications.  
  • Experience reviewing AI application architectures and identifying security weaknesses across APIs, cloud infrastructure, and application logic  
  • Experience performing source code review and dynamic testing  
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and securing AI workloads  
  • Scripting or programming experience in Python, JavaScript Go, Java, or similar languages  
  • Familiarity with LLM application and agent-orchestration frameworks, inference provider APIs, external capability integration for models, and open source tooling across commercial and self-hosted ecosystems. 
  • Knowledge of authentication, authorization, networking, APIs, and secure software development practices  
  • Excellent written and verbal communication skills, including presenting findings to technical and executive audiences  
  • Ability to mentor teammates and contribute to internal research, tooling, and methodology development  
  • OSCP, OSEP, GWAPT, GPEN, GXPN, or other relevant certifications are helpful but not required  
  • Bachelor's degree in Computer Science, Cybersecurity, or a related technical field is a plus  

What Sets You Apart 

  • Experience conducting AI red team exercises against production or pre-production AI systems  
  • Research into emerging AI attack techniques or contributions to the offensive security community  
  • Experience building or securing AI agents and autonomous workflows  
  • Knowledge of adversarial machine learning concepts and model security  
  • Experience with cloud-native AI platforms such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI  
  • Familiarity with AI software development lifecycle (AI SDLC) and AI governance frameworks  

Why Bishop Fox 

At Bishop Fox, we're driven by a simple mission: deliver exceptional quality to our clients, foster a vibrant and fulfilling environment for our team, and champion excellence within our industry. Our core values, which we live by every day, are:  

  • Be Excellent to Each Other 
  • Do the Right Thing 
  • Do What You'll Say You'll Do 
  • Get Better Together 
  • Give a Sh*t 

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States of America for the duration of employment without sponsorship.  

Bishop Fox has always allowed its employees to work remotely, and this role can be based anywhere in the United States. 

Our comprehensive benefits program is tailored to meet your needs at an affordable price. We embrace diversity and foster an inclusive culture where employees are empowered to do their best work while advancing the security community through world-class research and consulting. 

Bishop Fox is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including sexual orientation and gender identity), national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. All new hires must successfully complete a background check as a condition of employment. 

Interested? Apply today!