Role Description MyOutDesk is seeking an AI Automation Specialist to join our team in driving innovative automation solutions that enhance operational efficiency and streamline workflows. This role is designed for a proactive, analytical thinker with a strong understanding of AI tools and automation technologies. As an AI Automation Specialist, you will work closely with internal teams and stakeholders to identify opportunities for leveraging AI to automate repetitive tasks, improve service delivery, and enhance client experiences. Your expertise will help us scale operations effectively while delivering exceptional value to our clients. This position is fully remote and requires you to be available during U.S. business hours. Key Responsibilities - Develop and maintain automation workflows using AI tools and platforms such as n8n, Zapier, Microsoft Power Automate, or similar technologies. - Collaborate with cross-functional teams to analyze business processes and identify automation opportunities. - Assist with the implementation of AI-driven solutions to improve operational efficiency and data management. - Monitor and optimize existing automation systems to ensure sustained performance and efficacy. - Prepare documentation, including standard operating procedures (SOPs) and training materials for users. - Provide user training and support for AI tools and automation processes. - Stay updated with industry trends and best practices in AI and automation technologies. Qualifications - 3+ years of experience in automation, AI solutions, or relevant fields. - Experience with automation platforms (Zapier, Microsoft Power Automate, or similar). - Strong analytical skills with a solid understanding of business processes. - Excellent verbal and written communication skills in English. - Ability to work effectively during standard U.S. business hours. - Strong problem-solving skills and a detail-oriented approach. - Experience collaborating with cross-functional teams. Requirements - Previous experience in a remote working environment. - Familiarity with AI tools like machine learning platforms, chatbots, or data analytics systems. - Experience with project management methodologies. Benefits - Monthly Compensation: $3,000 – $5,000 USD, depending on experience and qualifications. - Fully Remote Role: Work from anywhere with reliable, high-speed fiber optic internet. - U.S. Business Hours: Stable, predictable schedule aligned with U.S. leadership. - Long-Term Employment: Full-time, ongoing role (not project-based or freelance). - High-Impact Work: Direct collaboration with senior leadership and strategic initiatives. - Professional Growth: Opportunity to shape AI and automation strategy at a global company. - Global Team Environment: Work with international teams supporting U.S. clients. - Paid Time Off & Local Benefits: Provided in accordance with local labor laws or contractor structure.

• Review AI-generated analyses, recommendations, and compensation-related outputs • Evaluate responses for accuracy, completeness, consistency, and business relevance • Identify errors, gaps, unsupported conclusions, or areas for improvement • Provide clear, actionable written feedback to help improve AI performance • Apply compensation best practices and professional judgment when assessing outputs • Follow evaluation guidelines and scoring frameworks • Document findings with a high degree of attention to detail • Collaborate with project leads to refine evaluation methodologies

• Map creative workflows end-to-end, including briefing, concepting, production, review, localization, activation, and measurement. • Identify operational bottlenecks, inefficiencies, and opportunities for automation. • Diagnose root causes of workflow friction, including approval delays, handoff failures, tooling gaps, and governance challenges. • Design future-state workflows that effectively balance AI automation and human oversight. • Configure and implement creative AI platforms and tools against real production requirements. • Integrate AI-powered workflows into existing ecosystems, including DAMs, CMS platforms, marketing technology stacks, and project management systems. • Build prompt architectures, agent workflows, automation layers, and quality control mechanisms that can operate reliably at production scale. • Develop working proofs of concept and production-ready solutions that demonstrate measurable business value. • Rapidly iterate and deploy solutions within the constraints of active client engagements. • Establish governance frameworks covering brand safety, content rights management, model selection, approval workflows, compliance, and auditability. • Train and enable teams to successfully adopt new workflows and technologies. • Define and track success metrics, including throughput, cycle time, cost-per-asset, quality consistency, and operational efficiency. • Ensure knowledge transfer and long-term sustainability beyond the initial engagement. • Contribute to project scoping and solution design across content operations, creative production, AI transformation, and marketing technology initiatives. • Develop reusable accelerators, templates, tooling configurations, and best practices. • Help evolve internal methodologies and delivery frameworks for future engagements.

• Map creative workflows end-to-end, including briefing, concepting, production, review, localization, activation, and measurement. • Identify operational bottlenecks, inefficiencies, and opportunities for automation. • Diagnose root causes of workflow friction, including approval delays, handoff failures, tooling gaps, and governance challenges. • Design future-state workflows that effectively balance AI automation and human oversight. • Configure and implement creative AI platforms and tools against real production requirements. • Integrate AI-powered workflows into existing ecosystems, including DAMs, CMS platforms, marketing technology stacks, and project management systems. • Build prompt architectures, agent workflows, automation layers, and quality control mechanisms that can operate reliably at production scale. • Develop working proofs of concept and production-ready solutions that demonstrate measurable business value. • Rapidly iterate and deploy solutions within the constraints of active client engagements. • Establish governance frameworks covering brand safety, content rights management, model selection, approval workflows, compliance, and auditability. • Train and enable teams to successfully adopt new workflows and technologies. • Define and track success metrics, including throughput, cycle time, cost-per-asset, quality consistency, and operational efficiency. • Ensure knowledge transfer and long-term sustainability beyond the initial engagement. • Contribute to project scoping and solution design across content operations, creative production, AI transformation, and marketing technology initiatives. • Develop reusable accelerators, templates, tooling configurations, and best practices. • Help evolve internal methodologies and delivery frameworks for future engagements.