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OutdoorWorX/SnowWorX is seeking a hands-on AI Automation & Implementation Specialist to help turn approved requirements into configured, tested, and usable AI systems within our remote workforce operating on U.S. Eastern Time.
This role is overnight/night shift for candidates in the Philippines and involves working with Zoho, Asana, Zapier/Make and Google Workspace to implement AI Managers, refine workflows, document systems, and ensure QA before deployment.
AI Automation & Implementation Specialist
Full-time remote / U.S. Eastern Time | Philippines preferred | Overnight/night shift | $10–$12 USD/hour
OutdoorWorX/SnowWorX is seeking a hands-on AI Automation & Implementation Specialist to help implement an existing backlog of internal AI Managers and AI-assisted business workflows.
We already have an internal AI/technology lead, established system designs, source documents, SOPs, and multiple AI Managers already operating.
This is not a strategy consulting position, a general VA role, a machine-learning engineering position, or an OVERWATCH software-development position.
We need someone who can work directly with our implementation lead to take approved requirements and turn them into configured, tested, documented, and usable AI systems.
Responsibilities
Ideal experience
Hands-on experience with several of: ChatGPT/OpenAI, AI assistants or agents, prompt/instruction engineering, AI knowledge/source configuration, workflow automation, Zapier/Make.com, Zoho, Asana, APIs/webhooks, Google Workspace, testing/QA, SOP and technical documentation.
We value practical implementation ability, troubleshooting, testing, communication, organization, and follow-through.
40 hours/week working SnowWorX regular U.S. Eastern Time business hours.
For candidates in the Philippines, this is an overnight/night-shift position. Applicants who are only available during Philippine daytime hours should not advance.
Compensation
Engagement
Initial 60–90 day project-based engagement. Continued work may be available depending on workload, winter needs, business needs, and performance.
Work environment
Selection process
Reports to Chris and Irish. Day-to-day implementation lead: Irish.