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Remote Knowledge Base Writer Jobs in Minnesota (NOW HIRING)

Fluence Corp.

Field Service Engineer

Plymouth, MN · On-site +1

Technical Knowledge: base knowledge of electrical principles and automation systems. * Problem ... Excellent verbal and written communication and customer service skills * Availability to travel ...

Resmed

Customer Support Associate II

Bloomington, MN · Remote

$17.50 - $24/hr

Remote Work Shift: 11am - 8pm EST ****This position is a remote position AND requires home health ... Document new issues, FAQs, and resolutions for a robust knowledge base. * Identify critical issues ...

First American

$26.88 - $35.82/hr

... base pay range for this position at the time of posting ... Pay is based on a number of factors which may include job-related knowledge, skills, experience ...

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Remote Knowledge Base Writer information

What is a remote knowledge base writer?

A Remote Knowledge Base Writer is a professional who creates, edits, and maintains documentation and instructional content for a company’s knowledge base, all while working from a remote location. Their main goal is to make information easily accessible and understandable for users, customers, or internal teams. This role typically involves collaborating with subject matter experts, using content management systems, and ensuring that articles are accurate, clear, and up-to-date. Remote Knowledge Base Writers often work for tech companies, SaaS providers, or customer support teams that need comprehensive self-service resources.

How does a remote knowledge base writer typically collaborate with subject matter experts to ensure content accuracy?

Remote Knowledge Base Writers often work closely with subject matter experts (SMEs) through virtual meetings, emails, and collaboration tools to gather detailed and accurate information about products or services. They may schedule regular check-ins or request feedback on draft articles to ensure technical accuracy and clarity. Building strong communication and organizational skills is important, as coordinating across time zones and teams can be a challenge. This collaborative process not only improves the quality of documentation but also helps writers stay updated on product changes.

What are the key skills and qualifications needed to thrive as a remote knowledge base writer, and why are they important?

To thrive as a Remote Knowledge Base Writer, you need strong writing, editing, and research skills, typically supported by experience in technical writing or content creation. Familiarity with content management systems (CMS), knowledge base platforms such as Zendesk or Confluence, and basic HTML are often required. Attention to detail, self-motivation, and excellent communication skills are vital for producing clear, user-focused documentation while collaborating remotely. These abilities ensure the creation of accurate, accessible resources that enhance user experience and support organizational knowledge sharing.

What are popular job titles related to Remote Knowledge Base Writer jobs in Minnesota?

For Remote Knowledge Base Writer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Base Writer jobs in Minnesota look for?

The top searched job categories for Remote Knowledge Base Writer jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Knowledge Base Writer jobs?

Cities in Minnesota with the most Remote Knowledge Base Writer job openings:

Remote Knowledge Base Writer jobs near you
Infographic showing various Remote Knowledge Base Writer job openings in Minnesota as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Rochester, MN • Remote

$80 - $110/hr

Part-time

Posted 18 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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