AI Innovation Associate

About the Role

Aculocity is seeking an AI Innovation Associate for its AI Student Innovation Lab. This is a remote, paid role requiring approximately 20 hours per week. The program offers hands-on experience in designing AI-enabled enterprises and working on real business problems, systems, and outcomes.

Key Responsibilities

• Build AI-powered applications using Large Language Models (LLMs).
• Develop intelligent AI agents and enterprise copilots.
• Apply machine learning to solve operational and business challenges.
• Design proof-of-concepts using emerging AI technologies.
• Explore Retrieval-Augmented Generation (RAG) and enterprise knowledge management.
• Work with real-world enterprise datasets to uncover insights and improve decision-making.
• Develop predictive, optimization, and analytics solutions.
• Collaborate with multidisciplinary teams to deliver innovative AI solutions.
• Research and evaluate emerging AI tools, frameworks, and techniques.

Requirements & Tech Stack

• Currently enrolled in, or recently completed, an undergraduate or graduate program in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Computer Engineering, Information Systems, Mathematics, Statistics or a related quantitative discipline.
• Strong academic performance and a demonstrated passion for learning.
• Strong technical problem-solving ability, with programming experience (Python is a plus).
• A solid foundation or strong interest in Agentic AI, Applied AI, Data Science, machine learning, analytics, algorithms or statistics.
• Strong analytical thinking and problem-solving skills.
• The ability to communicate effectively and collaborate within multidisciplinary teams.
• Curiosity, creativity, and a desire to explore AI technologies.
• A genuine interest in applying AI to create measurable business value.
• Applicants must be legally authorized to work in the United States.
• Applicants must reside and perform work in Alabama, Georgia, Idaho, Indiana, North Carolina, Ohio, or Tennessee.

Beneficial Experience (not required)

• Generative AI and Large Language Models
• Prompt engineering
• Machine learning frameworks
• SQL and data analytics
• Working with APIs, software integration, automation or enterprise platforms
• Microsoft Fabric, Power BI or modern analytics platforms

Program Details

• Time commitment: Approximately 20 hours per week.
• Work Location: Remote.
• Schedule: Flexible scheduling to accommodate academic commitments.
• Initial engagement: 6 to 12 months, with the possibility of extension.
• Compensation: Hourly compensation.