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Rlhf Jobs in Oregon (NOW HIRING)

BOLD

Senior Prompt Designer II

OR · On-site +1

$101K - $108K/yr

Familiarity with fine-tuning, RLHF, or preference data collection workflows * Experience with structured output validation (JSON Schema, Pydantic, or equivalent) * Familiarity with orchestration ...

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Rlhf information

What is an RLHF job?

An RLHF (Reinforcement Learning with Human Feedback) job involves training AI models using human feedback to improve their responses. Professionals in this role analyze model outputs, provide evaluations, and refine AI behavior through reinforcement learning techniques. These roles are common in AI research, content moderation, and chatbot development.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning from Human Feedback (RLHF) engineer, and why are they important?

To thrive as an RLHF Engineer, you need a strong background in machine learning, reinforcement learning, and programming (often Python), typically supported by an advanced degree in computer science or a related field. Experience with ML frameworks (such as TensorFlow or PyTorch), data annotation tools, and familiarity with large language models are typically required. Strong analytical thinking, collaboration, and clear communication are essential soft skills to succeed in research-driven, interdisciplinary teams. These skills and qualities are crucial for developing safe, effective AI systems that integrate human feedback and adapt to complex real-world tasks.

What are some common challenges faced by professionals working in Reinforcement Learning from Human Feedback (RLHF) roles?

Professionals in RLHF roles often encounter challenges related to data quality and alignment between human feedback and model behavior. Collecting consistent, unbiased feedback from human annotators can be complex, and ensuring that the reinforcement learning model interprets this feedback correctly requires careful design of reward functions and training protocols. Additionally, balancing the need for rapid experimentation with maintaining rigorous evaluation standards is crucial. Collaboration with interdisciplinary teams, including data scientists, ML engineers, and domain experts, is common to address these challenges and improve model alignment.

What is the difference between Rlhf vs Rn?

AspectRlhfRn
Required CredentialsLicensed healthcare professional, often with specialized training in mental health or behavioral healthLicensed practical nurse or registered nurse, with nursing licensure and possibly additional certifications
Work EnvironmentBehavioral health facilities, clinics, hospitals, or community health settingsHospitals, clinics, long-term care facilities, and community health settings
Employer & Industry UsageBehavioral health and mental health servicesGeneral healthcare and nursing services
Common Search & ComparisonRlhf vs RnRlhf vs Rn

While Rlhf (Registered Licensed Mental Health Facilitator) focuses on mental health support and behavioral health interventions, Rn (Registered Nurse) provides broader nursing care across various medical settings. Both roles require licensure, but Rlhf specializes in mental health, whereas Rn covers general patient care.

What are the most commonly searched types of Rlhf jobs in Oregon?

The most popular types of Rlhf jobs in Oregon are:

What are popular job titles related to Rlhf jobs in Oregon?

For Rlhf jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Rlhf jobs in Oregon look for?

The top searched job categories for Rlhf jobs in Oregon are:

What cities in Oregon are hiring for Rlhf jobs?

Cities in Oregon with the most Rlhf job openings:

Rlhf jobs near you
Infographic showing various Rlhf job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Prompt Designer II

BOLD

OR • On-site, Remote

$101K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

We are seeking a Senior Prompt Designer II to define the overarching prompt architecture strategy, roadmaps, and governance frameworks powering BOLD's consumer-facing career tools. This is a senior leadership position for someone with genuine depth in prompt systems design, model behavior, and cross-functional enablement. You will build the system others work within, establishing frameworks, governance, and quality standards that ensure AI-generated content is consistent, human-sounding, and maintainable at scale. 

About this team

As Senior Prompt Designer II, you will sit at the intersection of long-term architectural vision, organizational mentorship, and rigorous data-driven design. You will support Content, Engineering, Data, and Product teams; acting as the expert who bridges creative intent and technical execution, while leading the professionalization of the prompt management function itself. 

What you'll do 

  • Lead prompt framework design and strategy - defining end-to-end architecture, version control, CI/CD pipelines, and deployment playbooks for distributed teams.
  • Design complex, high-impact prompt systems including multi-agent and chain-of-thought architectures for resume builder flows across global product lines.
  • Partner with Engineering, Product, and Data to align prompt strategies with model selection, API cost reduction, performance budgets, and roadmaps.
  • Architect evaluation frameworks and safety guardrails to benchmark LLM outputs globally, minimizing hallucination, bias, and AI-sounding content.
  • Act as the cross-functional prompt design resource; translating requirements from Content, Engineering, Data, Product, and portal teams into production-grade implementations.
  • Spearhead R&D into emerging AI paradigms, evaluate new models and tooling, and provide clear adoption recommendations.
  • Mentor the prompt management team and contribute to building the function - structures, processes, documentation, and quality standards.

What you'll need

  • 8+ years of professional experience with AI/ML systems, language technologies, or software product engineering.
  • 4-5 years in prompt design or LLM product development, with a track record of shipping consumer-facing features at scale.
  • Mastery of advanced prompt design paradigms: RAG, multi-agent architectures, chain-of-thought, context window management, and model behaviour trade-offs.
  • Hands-on experience across LLM providers (OpenAI, Anthropic, Google) with clear understanding of behavioural differences and trade-offs.
  • Experience designing and maintaining LLM evaluation pipelines (LLM-as-judge, human eval, automated metrics) and prompt versioning workflows.
  • Strong instinct for naturalness, recognising and eliminating AI-sounding, repetitive, or generic output.
  • Demonstrated ability to influence cross-functional roadmaps and mentor prompt designers or AI content teams.

What's good to have 

  • Experience with resume builder products, HR tech, or career content platforms
  • Familiarity with fine-tuning, RLHF, or preference data collection workflows
  • Experience with structured output validation (JSON Schema, Pydantic, or equivalent)
  • Familiarity with orchestration tooling: LangChain, LlamaIndex, LangSmith, PromptLayer, or equivalents
  • Contributions to open-source prompt design projects or published writing on the topic

Benefits

Outstanding Compensation

  • Competitive salary
  • Bi-annual bonus
  • 401(k) plan with match
  • Equity in company
  • Flexible spending accounts (health, dependent care)
  • Internet and home office reimbursement

100% Full Health Benefits

  • Medical, dental, and vision (optional plans for your family)
  • Life & long-term disability insurance (optional)
  • Mental health support and resources
  • Wellness reimbursement (gym, health apps, etc.)
  • Pet Insurance (optional)

Flexible Time Away

  • Flexible PTO
  • Sick time policy
  • Observed holidays

Eligibility

Eligible Hiring Locations

This position is 100% remote, work from home.

BOLD can hire full-time residents of the following U.S. States & Territories: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.

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