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A leading company is seeking a content specialist to manage knowledge base documentation and template migration. This part-time role requires strong editing skills and attention to detail, with responsibilities including transferring internal content and ensuring alignment with design templates. Ideal candidates will have experience with technical content and tools like Google Docs and Lucidchart.
We are seeking a content specialist with experience in knowledge base (KB) documentation and template migration for an opportunity with one of our well-known tech clients. In this role, you will be responsible for transferring and editing internal support content, ensuring alignment with new design templates and a set content style guide. If you are the right fit, you are confident in your ability to interpret flowcharts, distill complex decision trees into agent-friendly scenarios, and format content with a high level of accuracy. You can work quickly and independently, handle repetitive formatting tasks with consistency, and adapt easily to evolving client priorities.
This is a part-time contract engagement (15–20 hours/week) that must be done by someone based in the Eastern time zone. We'll only be able to respond to applicants who meet the basic qualifications for this role. We offer a strong benefits package for full-time employees, including insurance coverage, paid time off, sick leave, wellness days, and access to ongoing learning resources:https://www.steyer.net/benefits/ for more information about eligibility and offerings.
Required:
Proven experience rewriting and editing technical or instructional content, particularly support knowledge bases
Strong attention to detail and ability to format tables, hyperlinks, and brand-specific styles in Google Docs
Ability to interpret Lucidchart decision trees and rewrite flows into clear, concise agent scenarios
Experience editing and creating Saved Replies based on direction or new scenarios
Preferred:
Familiarity with Uber internal tools like uKnowledge
Experience working with chatbot content or decision-based customer service flows