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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Prompt Engineer

Nebraska AI Solutions
Lincoln, NE
Estimated Salary
USD 30 – USD 45
Live Update
9 Oktober 2026
Deadline
9 Okt 2027

Job Description

Join Nebraska AI Solutions as a Part-Time Prompt Engineer and shape the future of artificial intelligence! We're seeking a creative technical expert to craft precise AI interactions that drive breakthrough results. This hybrid role (20-25 hrs/week) offers flexible scheduling while working on cutting-edge projects for healthcare, agriculture, and fintech clients. Collaborate with our AI research team to optimize language models and develop innovative prompt frameworks that push the boundaries of what's possible.

Responsibilities

  • Design, test, and refine AI prompts for maximum output quality and efficiency
  • Develop prompt libraries and reusable templates for diverse AI applications
  • Collaborate with ML engineers to integrate prompt engineering into model training pipelines
  • Analyze prompt performance metrics and iterate based on user feedback
  • Document prompt strategies and best practices for internal knowledge base
  • Research emerging AI techniques to maintain competitive advantage
  • Train stakeholders on prompt engineering principles and implementation
  • Ensure ethical AI usage and bias mitigation in all prompt designs

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, or related field
  • 2+ years of prompt engineering or NLP experience
  • Proficiency with GPT, Claude, and open-source language models
  • Strong analytical skills with data-driven approach to optimization
  • Experience with Python and API integration for AI systems
  • Exceptional written communication and creative problem-solving abilities
  • Portfolio demonstrating successful prompt engineering projects
  • Knowledge of LLM fine-tuning techniques and model evaluation metrics

Required Skills

Prompt Engineering Natural Language Processing AI Models GPT Claude Python NLP Machine Learning API Integration Data Analysis

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