Llm Prompt Engineer

Summary

Join The Motley Fool as a Freelance Prompt Engineer specializing in Large Language Models (LLMs)! This remote, flexible role (20-40 hours/week for at least 6 months) requires strong content creation and investing knowledge, with coding skills a plus. You will design and refine prompts for LLMs to generate high-quality financial content, collaborating with data science and investment teams. The ideal candidate possesses a strong background in content creation and finance, familiarity with LLMs (especially OpenAI's GPT models), and coding skills (Python, RESTful APIs). Applicants must reside in the United States. Hourly pay ranges from $55 to $75 USD.

Requirements

• Strong background in content creation and writing, with an emphasis on finance and investing
• Interest in investing. Having an active personal portfolio is a big plus
• Familiarity with LLMs, particularly in designing and optimizing prompts
• Experience with OpenAI's GPT models or similar LLMs
• Coding skills, including experience with Python and RESTful APIs
• Excellent problem-solving abilities and strong analytical skills
• Ability to communicate complex technical concepts effectively
• Excitement at the idea of solving the puzzle of using LLMs to create top-notch content that wows our users
• Reside in the United States

Responsibilities

• Develop and fine-tune prompts for LLMs to generate high-quality, relevant content, particularly in the field of finance and investing
• Collaborate with data science teams to integrate LLM outputs into various platforms
• Understand and implement best practices in prompt engineering to maximize the efficiency and effectiveness of LLMs
• Work with investment experts to ensure that content generated by LLMs is accurate and useful for financial decision-making
• Maintain and improve the technical infrastructure supporting LLMs, including basic coding and API integrations

Preferred Qualifications

• Understanding of AI and machine learning principles, especially in the context of LLMs
• Background in finance or investment, with a strong grasp of financial concepts and market dynamics
• Experience in a collaborative, interdisciplinary team environment

Benefits

• Hourly Pay Range $55 — $75 USD
• 100% remote
• Flexible hours