Volunteer Prompt Engineering Jobs (NOW HIRING)

Overview

THE ROLE:

Unlock the full potential of large language models and generative AI by designing, refining, and scaling prompt strategies that produce accurate, reliable, and high-value AI outputs.

In this role, you'll sit at the intersection of human intent and machine intelligence, translating complex business needs into well-structured prompt frameworks that guide AI systems toward consistent, safe, and meaningful results. You'll continuously experiment, optimize, and evolve prompts to improve model performance across real-world use cases.

As an AI Prompt Engineer, you'll blend technical understanding of AI behavior with creative problem-solving to build reusable, production-ready prompt patterns that power AI-driven solutions at scale - ensuring outputs meet quality, safety, and business standards.

HOW YOU WOULD CONTRIBUTE:

    Design and optimize prompts for large language models (LLMs) and generative AI systems to achieve specific business outcomes    Develop timely engineering frameworks and guidelines for different AI use cases and applications      Test and iterate on prompts systematically to improve accuracy, consistency, and output quality    Build prompt templates and libraries that enable reusable, scalable AI solutions across the organization    Implement prompt chaining and multi-step reasoning approaches for complex AI tasks    Design and optimize retrieval-augmented generation (RAG) systems combining prompts with knowledge bases    Evaluate AI model outputs against quality criteria and implement improvement strategies    Conduct prompt injection testing and implement safeguards against adversarial inputs    Collaborate with developers to integrate prompts into applications and workflows    Monitor production prompt performance and implement versioning and A/B testing strategies    Document prompt patterns, techniques, and findings for team knowledge sharing      Stay current with LLM capabilities, limitations, and best practices across different models    Provide guidance on prompt engineering to data scientists, developers, and business users    Analyze failure modes and edge cases, developing strategies to improve robustness    Implement ethical AI practices ensuring prompts produce fair, unbiased, and safe outputs    Make decisions on prompt strategies, model selection, and optimization approaches for AI applications

Qualifications

SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL: 

    5+ years of experience in AI/ML, NLP, or software development with significant focus on working with LLMs and generative AI; demonstrated expertise in prompt engineering    Prompt engineering and prompt design for LLMs (GPT, Claude, Llama, etc.)    Understanding of transformer architectures and how LLMs process language    Natural language processing and computational linguistics    Systematic testing and experimentation methodologies    AI safety and responsible AI practices    Proven ability to craft prompts that consistently produce high-quality, reliable AI outputs    Deep understanding of LLM capabilities, limitations, and behaviors    Experience with various prompting techniques (few-shot learning, chain-of-thought, etc.)    Strong analytical skills to evaluate and improve prompt performance    Creative problem-solving to find innovative solutions using AI    Programming in Python for prompt automation and testing    Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)    Knowledge of RAG architectures and vector databases    Understanding of fine-tuning and model customization    Familiarity with LLM evaluation frameworks and metrics    Experience with prompt management tools and platforms    Knowledge of conversational AI and chatbot design    Understanding of AI ethics, bias, and safety considerations

Education

    Minimum: Bachelor's degree in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, or related field    Preferred: Master's degree in AI, NLP, Computer Science, or related field; portfolio demonstrating successful prompt engineering projects    Certifications: AI/ML certifications, LLM-specific certifications, emerging prompt engineering certifications valuable    Equivalent Experience: 5+ years of hands-on experience working with LLMs and generative AI with proven track record of successful prompt engineering solutions may substitute for advanced degree

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US Benefits StatementHerbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.Employment Type: FULL_TIME