Job Description
Are you passionate about the future of Artificial Intelligence? FutureScale Tech is looking for ambitious individuals to join our team as Prompt Engineers in Tucson, AZ.
We are not just looking for a job; we are looking for the next generation of AI thinkers. Whether you are a recent graduate or a career switcher, if you have a knack for language and a curiosity for how Large Language Models (LLMs) work, we want to hear from you.
In this entry-level role, you will work directly with our AI researchers to craft the instructions that guide our models. You will help shape how machines understand and generate human-like text. If you are ready to start your career in tech without needing prior industry experience, this is the perfect opportunity for you.
Why Join Us?
- Be at the forefront of the AI revolution.
- Comprehensive training provided for all new hires.
- Flexible work environment in the heart of Tucson.
Responsibilities
- Develop & Test Prompts: Write, test, and refine prompts to generate accurate, safe, and high-quality responses from AI models.
- Feedback Loop: Analyze AI outputs and provide constructive feedback to help improve model performance.
- Documentation: Create detailed documentation on prompt best practices and usage scenarios.
- Collaboration: Work closely with the data science team to identify areas where prompt engineering can drive value.
- Research: Stay up-to-date with the latest developments in Natural Language Processing (NLP) and Generative AI.
- Quality Assurance: Audit existing prompt libraries to ensure consistency and quality across different use cases.
Qualifications
- No Experience Required: This role is open to entry-level candidates and recent graduates.
- Strong Communication: Exceptional command of the English language, including grammar, nuance, and tone.
- Critical Thinking: Ability to deconstruct complex problems and formulate clear, logical instructions.
- Digital Literacy: Comfortable navigating computers and using web-based tools.
- Eagerness to Learn: A proactive attitude toward learning new technologies and methodologies.
- Attention to Detail: Keen eye for spotting errors and inconsistencies in text.