Remote Airtable Workflow Architect

RemoteJobsOne; Charlotte (NC); Remote; USD 41,000 - 138,000; Part time

Job summary

RemoteJobsOne is seeking an Airtable Specialist for a fully remote contract role. Based in the United States, you will help optimize workflows, manage data, and support product management practices with Airtable.

You'll build bases, tables, views, automations, and integrations, document steps, and ensure practical, real‑world inputs that train AI systems. Prior AI experience is not required—domain knowledge matters.

Qualifications

• Strong hands-on experience using Airtable in a professional setting.
• Experience creating and managing Airtable bases and workflows.
• Familiarity with Airtable automations, views, forms, interfaces, and integrations.
• Experience using Airtable for product management, project management, business operations, or similar workflows.
• Strong understanding of workflow design and data organization.

Responsibilities

• Complete and review realistic workflows within Airtable.
• Explore Airtable features and identify common real-world use cases.
• Create and manage bases, tables, views, fields, records, and relationships.
• Work with Airtable automations, forms, interfaces, and other relevant features.
• Demonstrate how Airtable can be used for project, product, or operational workflows.
• Identify efficient ways to organize and manage information within Airtable.
• Document the steps required to complete different workflows clearly and accurately.
• Provide feedback on whether workflows and instructions reflect realistic Airtable usage.

Skills

Hands-on Airtable

Airtable workflows

Workflow design

Data organization

Explain processes clearly

Attention to detail

Independent learner

Tools

Airtable

Job description

RemoteJobsOne is seeking an Airtable Specialist for a fully remote contract role. Based in the United States, you will help optimize workflows, manage data, and support product management practices with Airtable.

You'll build bases, tables, views, automations, and integrations, document steps, and ensure practical, real‑world inputs that train AI systems. Prior AI experience is not required—domain knowledge matters.