TechClub Inc
ChatGPT Power User Enablement Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a ChatGPT Power User Enablement Analyst, remote in Thousand Oaks, CA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AI, data security, automation, and prompt engineering.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Thousand Oaks, CA
-
🧠 - Skills detailed
#Compliance #Data Security #Security #Monitoring #ChatGPT #Libraries #Automation #AI (Artificial Intelligence)
Role description
Role: ChatGPT Power User Enablement Analyst
Location: Thousand Oaks, CA~ (REMOTE)
Job Description:
ChatGPT Power User Enablement Analyst
• Workflow Optimization & Automation: Identifying and developing custom GPTs, workflows, and automation to replace manual tasks with AI-driven solutions.
• Demo & Enablement: Awareness of new ChatGPT functionality that comes out and conducting weekly/monthly demo sessions on specialized techniques to maximize output quality.
• Usage Analysis & Adoption: Monitoring usage metrics—such as message volume, tool diversity, and "power user" engagement to evaluate AI ROI and adoption rates.
• Prompt Engineering & Governance: Building libraries of tested prompts, establishing guardrails for safe/ethical use, and ensuring compliance with data security policies.
• Cross-functional Collaboration: Partnering with different functional teams to create tailored AI playbooks and use cases
Role: ChatGPT Power User Enablement Analyst
Location: Thousand Oaks, CA~ (REMOTE)
Job Description:
ChatGPT Power User Enablement Analyst
• Workflow Optimization & Automation: Identifying and developing custom GPTs, workflows, and automation to replace manual tasks with AI-driven solutions.
• Demo & Enablement: Awareness of new ChatGPT functionality that comes out and conducting weekly/monthly demo sessions on specialized techniques to maximize output quality.
• Usage Analysis & Adoption: Monitoring usage metrics—such as message volume, tool diversity, and "power user" engagement to evaluate AI ROI and adoption rates.
• Prompt Engineering & Governance: Building libraries of tested prompts, establishing guardrails for safe/ethical use, and ensuring compliance with data security policies.
• Cross-functional Collaboration: Partnering with different functional teams to create tailored AI playbooks and use cases
