Hybrid AI Deployment Intern — Flexible, Part-Time, Paid

Titan, Inc; Blaine, Northern (MN, KY); Hybrid; USD 30,000 - 39,000; Part time

Benefits offered by this job

Part-Time Internship

Flexible schedule

Hybrid work environment

Blaine, MN location

Paid internship

Job summary

Ascential MLS Automation in Blaine, Minnesota offers a part-time internship to students pursuing CS, data analytics, engineering or related fields. You will collaborate on AI-driven solutions, support projects from concept to deployment, and learn to leverage leading AI tools.

This hybrid role blends onsite and remote work with paid compensation. You'll gain hands-on experience shaping AI-enabled workflows, automations, and productivity tools while developing cross-functional teamwork and

Qualifications

• Pursuing a degree in Computer Science, Data Analytics, Engineering, Information Systems, or related field.
• Strong interest in AI, automation, and emerging technologies.
• Familiarity with leading AI tools (ChatGPT, Copilot, Claude, Gemini, Perplexity).
• Creative problem solving and collaborative mindset.
• Strong communication and teamwork abilities.

Responsibilities

• Collaborate with internal teams to identify and implement AI-driven solutions.
• Support AI projects from initial concept through deployment.
• Research, evaluate, and leverage AI platforms and models.
• Assist in developing AI-enabled workflows, automations, and productivity tools.
• Help train and support employees on AI best practices and adoption.
• Identify opportunities to improve processes through AI.
• Stay current on emerging AI trends and tools.

Skills

AI interest

AI platforms

Creative problem-solving

Communication skills

Self-directed teamwork

Education

CS / Data Analytics / Engineering degree

Tools

ChatGPT

Microsoft Copilot

Claude

Gemini

Perplexity

Job description

Ascential MLS Automation in Blaine, Minnesota offers a part-time internship to students pursuing CS, data analytics, engineering or related fields. You will collaborate on AI-driven solutions, support projects from concept to deployment, and learn to leverage leading AI tools.

This hybrid role blends onsite and remote work with paid compensation. You'll gain hands-on experience shaping AI-enabled workflows, automations, and productivity tools while developing cross-functional teamwork and