Job Description
Join the Future of AI in Indianapolis
We are looking for a visionary Prompt Engineer to lead our content and AI strategy. If you are passionate about the intersection of language and code and want the flexibility to shape your own schedule, this is your opportunity to make an impact.
Why Join Us?
- Flexible Schedule: Enjoy the freedom of a part-time role with adjustable hours tailored to your availability.
- Remote & Hybrid Options: Work from the heart of Indiana or from anywhere in the US.
- Premium Compensation: Competitive pay reflecting the high demand for AI talent.
Key Responsibilities
- Develop Advanced Prompt Strategies: Design and refine complex prompts for Large Language Models (LLMs) to ensure high-accuracy outputs for business applications.
- Model Training & Fine-Tuning: Collaborate with data teams to provide the specific data and instructions required to optimize AI model performance.
- Content Optimization: Analyze AI-generated content to ensure it meets brand voice, tone, and SEO standards.
- Rapid Prototyping: Test various prompt structures to solve specific business problems and automate workflows.
- Ethical AI Governance: Monitor outputs for bias and ensure responsible usage of generative AI technologies.
- Knowledge Sharing: Train junior staff and stakeholders on effective prompting techniques and AI tool usage.
Qualifications
- Technical Proficiency: Strong understanding of LLM architecture (e.g., GPT-4, Claude, Llama) and how context windows influence output.
- Writing Expertise: Exceptional command of grammar, rhetoric, and technical writing with a focus on precision.
- Problem-Solving Skills: Ability to deconstruct complex problems and translate them into actionable AI instructions.
- Adaptability: Comfortable working in a fast-paced, dynamic environment with flexible hours.
- Tool Proficiency: Experience with Python, API integrations, or no-code AI platforms is a plus.
- Education: Bachelor’s degree in English, Computer Science, or a related field.
Ready to Apply?
Apply today and start building the future of Indianapolis technology.
Responsibilities
- Develop and refine complex prompts for Large Language Models (LLMs).
- Collaborate with data scientists to fine-tune AI models.
- Analyze and optimize AI-generated content for quality and tone.
- Create documentation for prompt libraries and best practices.
- Test model outputs to identify failure modes and improve accuracy.
- Stay updated on the latest advancements in AI and generative models.
Qualifications
- Experience with GPT-4, Claude, or similar AI models.
- Strong background in technical writing or copywriting.
- Understanding of Natural Language Processing (NLP) concepts.
- Ability to work independently with a flexible schedule.
- Proficiency in Excel, Python, or API tools.
- Bachelor’s degree preferred.