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Remote Knowledge Base Writer Jobs in Springfield, MA

Accounting Fly

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

Confidential Location: 100% Remote (US) Base Salary: $150,000 - $175,000 per year (USD) Plus ... Deep knowledge of business taxation, pass-through entities, and tax minimization strategies.

Revvity

Sr. Tax Manager (REMOTE)

Hartford, CT · On-site +1

$134K - $167K/yr

Strong technical knowledge of U.S. international tax regulations, Transfer Pricing and ASC 740 ... The base salary range for this full-time position is $134,000.00 - $167,000.00 This range reflects ...

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All JobsRemote Knowledge Base Writer JobsRemote Knowledge Base Writer Jobs in Springfield, MA

Remote Knowledge Base Writer information

See Springfield, MA salary details

$11

$24

$42

How much do remote knowledge base writer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote knowledge base writer in Springfield, MA is $24.20, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $27.79 per hour, depending on experience, location, and employer.

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.

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.

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 popular job titles related to Remote Knowledge Base Writer jobs in Springfield, MA? For Remote Knowledge Base Writer jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Remote Knowledge Base Writer jobs? Cities near Springfield, MA with the most Remote Knowledge Base Writer job openings:
Remote Knowledge Base Writer jobs near you
Knowledge Graph Engineer / Ontologist

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 14 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 260 rated insurance

Job description

Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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