SaidGig

Operations Analyst for Google Workspace

$63–$119/hr

RemoteContracttechnologyUpdated Jun 8, 2026
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About this role

As an Operations Analyst specializing in Google Workspace, you will play a crucial role in optimizing operational workflows and enhancing collaboration within teams. Your expertise will directly contribute to the training of next-generation AI systems, ensuring that models learn and perform effectively through high-quality, real-world input.

Key Responsibilities:
  • Analyze and optimize operational workflows using Google Workspace tools to drive efficiency and consistency.
  • Collaborate closely with the customer’s team to identify process improvements and enhance collaboration within Google Docs, Sheets, and Slides.
  • Provide detailed feedback and structured input to support AI training projects, ensuring high-quality data and real-world relevance.
  • Document procedures and best practices, maintaining clear and concise communication across all operational initiatives.
  • Conduct audits of data and workflows to ensure accuracy and compliance with organizational standards.
  • Support ongoing operations and troubleshoot issues related to Google Workspace tools.
  • Contribute to team meetings and knowledge-sharing activities to continuously improve project outcomes.
Qualifications:
  • Minimum 3 years of experience in operations, process improvement, or related roles.
  • Expert-level proficiency with Google Workspace tools, especially Docs, Sheets, and Slides.
  • Exceptional written and verbal communication skills, with a keen eye for detail and clarity.
  • Demonstrated ability to analyze complex workflows and develop actionable recommendations.
  • Strong organizational and documentation skills; able to juggle multiple priorities in a remote setting.
  • Self-motivated, proactive, and able to thrive independently as well as within a collaborative, distributed team.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly pay ranging from $63 to $119.

Eligibility:

No prior experience in AI is required; your domain knowledge is what matters.

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