AI Innovation Specialist

Summary

Join Kasa as an AI Innovation Specialist (Contractor) and play a key role in driving operational efficiency through intelligent automation and process improvement. Collaborate with cross-functional teams to reduce manual workloads, eliminate repetitive tasks, and unlock new levels of productivity. Focus on AI tools and workflow automation platforms, identifying high-impact use cases where automation or AI can enhance efficiency, accuracy, and scalability. This remote contractor position, based in Mexico, involves designing and implementing automations, managing API integrations, creating dashboards, and drafting training materials. You will report impact metrics and support change management efforts. Success involves automating key processes, introducing impactful AI tools, and providing automation support and expertise to teams.

Requirements

• Thrive in a remote-first, independent contractor environment
• Have experience designing and implementing automations across business teams
• Bring hands-on skills with Python, SQL, APIs, and modern AI tools
• Understand orchestration tools like Zapier, n8n, Make, or similar
• Are comfortable collaborating with engineers and business stakeholders alike
• Communicate clearly and enjoy helping non-technical users understand technical solutions
• Can prioritize automation opportunities based on business impact
• 4+ years of experience in automation engineering, business intelligence, or operations
• Strong hands-on skills with API integration, scripting, and automation tools
• Experience deploying AI-powered solutions that automate workflows or data processes
• Excellent communication skills and ability to work independently under a contractor model
• Ability to track performance metrics and demonstrate business value of automation work

Responsibilities

• Collaborate with department leads to identify manual processes and opportunities for automation
• Build and deploy workflow automations using platforms like Zapier, n8n, Make, or similar
• Design and manage API integrations that connect tools across functions
• Use modern AI tools to automate decision-making and improve data accuracy
• Create dashboards and monitoring tools to track workflow performance
• Draft training and documentation materials to support tool adoption across teams
• Support change management efforts and help internal teams self-serve automation needs
• Report impact metrics—like hours saved, productivity gains, or reduction in error rates