Senior Prompt Designer II
OR · Remote
$101K - $108K/yr
Familiarity with fine-tuning, RLHF, or preference data collection workflows * Experience with ... SELECT ONE: #LI-Remote
Senior Prompt Designer II
OR · Remote
$101K - $108K/yr
Familiarity with fine-tuning, RLHF, or preference data collection workflows * Experience with ... SELECT ONE: #LI-Remote
Remote Rlhf information
How does a Remote RLHF (Reinforcement Learning from Human Feedback) specialist typically collaborate with other team members?
A Remote RLHF specialist often works closely with data scientists, machine learning engineers, and product managers to design and refine AI models using human feedback. Collaboration usually happens through regular virtual meetings, cloud-based code repositories, and shared annotation tools. The role requires clear communication to ensure that human feedback is accurately integrated into the learning process and that model improvements align with project goals. Being proactive in sharing findings and challenges is key, as team members may be distributed across different time zones.
What is the difference between Remote Rlhf vs Remote Rlhf?
| Aspect | Remote Rlhf | Remote Rlhf |
|---|---|---|
| Credentials | Typically requires certification in mental health or counseling, such as LPC or LCSW | Similar credentials, often with additional training in specific therapy methods |
| Work Environment | Remote, client-facing sessions via telehealth platforms | Remote, providing therapy or support services online |
| Industry Usage | Common in mental health, therapy, and counseling sectors | Used in mental health and support services, often interchangeably with Rlhf |
Remote Rlhf and Remote Rlhf are similar roles in mental health support, primarily differing in specific certifications or training focus. Both roles involve providing remote therapy or support services via telehealth platforms, making them highly comparable in work environment and industry usage.
What are the key skills and qualifications needed to thrive as a Remote RLHF (Reinforcement Learning from Human Feedback) Engineer, and why are they important?
To succeed as a Remote RLHF Engineer, you need expertise in machine learning, reinforcement learning, and programming languages like Python, often supported by an advanced degree in computer science or related fields. Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Strong problem-solving, communication, and self-management skills are vital for remote collaboration and interpreting human feedback effectively. These skills enable the development of robust AI systems that can learn efficiently from human input while ensuring productive teamwork in a distributed environment.
What is a Remote RLHF job?
A Remote RLHF (Reinforcement Learning from Human Feedback) job involves working with artificial intelligence systems, particularly large language models, to improve their performance using feedback from humans. In this role, individuals may annotate data, provide quality evaluations, or help design feedback mechanisms while working from a remote location. These jobs are crucial for ensuring AI models align better with human values and expectations, and they are often offered by AI research companies or organizations focused on machine learning. The work can involve tasks such as ranking AI-generated responses, identifying errors, and suggesting improvements. Remote RLHF positions are popular due to their flexibility and the opportunity to contribute to cutting-edge AI technology.
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 Remote Rlhf jobs in Oregon? For Remote Rlhf jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Rlhf jobs in Oregon look for? The top searched job categories for Remote Rlhf jobs in Oregon are:
What cities in Oregon are hiring for Remote Rlhf jobs? Cities in Oregon with the most Remote Rlhf job openings:
$101K - $108K/yr
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 11 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.
California Residents: Please see our privacy notice for more info on how we handle your data.
SELECT ONE: #LI-Remote