2

Content Tagging Remote Jobs (NOW HIRING)

Web Specialist

$96K - $96K/yr

Remote or Northridge (Onsite) Shift: 1st Shift Role Overview • Manage and publish digital content ... tagging, and templates • Familiarity with Figma and JIRA • Knowledge of analytics tools ...

Instructional Designer (REMOTE)

Washington, DC · Remote

$73K - $99K/yr

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... tagging, naming conventions, templates, and version control. * Ensure course content remains ...

Instructional Designer (REMOTE)

Washington, DC · Remote

$73K - $99K/yr

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... tagging, naming conventions, templates, and version control. * Ensure course content remains ...

Siege Media is a full-service GEO agency specializing in SEO, content marketing, digital PR, and ... S. employees include 100% health, dental, and vision benefits, unlimited PTO, and remote-friendly ...

Director, Analytics

Austin, TX · On-site +1

$145K - $165K/yr

Siege Media is a full-service GEO agency specializing in SEO, content marketing, digital PR, and ... S. employees include 100% health, dental, and vision benefits, unlimited PTO, and remote-friendly ...

... Library system, efficiently tagging, sorting, and organizing content. * Provide flexible ... Remote, desktop computer-based work with flexible hours primarily focused on daytime availability.

... content governance, QA, release coordination, taxonomy, redirects, SEO fundamentals, tagging, and ... remote role with up to 20% travel. This role is not eligible for sponsorship. This job posting is ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Capture and create digital media content for online programs, events, and brand storytelling.

Remote Shift: 1st Shift Role Overview • Manage and optimize website performance and digital ... website content using AEM CMS • Support and execute website migration projects to Adobe ...

Solution Architect

Lawrenceville, NJ · Remote

$64.50 - $85/hr

Lawrenceville, NJ(Remote) Mandatory Skills: * Cloud expertise (AWS) * Cloud-native architectural ... Champion GenAI/LLM use cases for content authoring, tagging, personalization, MLR support, and ...

Showing results 41-60

Content Tagging Remote information

See salary details

$31.5K

$59.2K

$95K

How much do content tagging remote jobs pay per year?

As of Jul 25, 2026, the average yearly pay for content tagging remote in the United States is $59,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $70,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Content Tagging Remote position, and why are they important?

To excel as a Content Tagging Remote professional, strong attention to detail, analytical thinking, and familiarity with content management or digital asset systems are essential, often requiring at least a high school diploma or equivalent. Proficiency with tagging platforms, taxonomy management tools, and sometimes basic data entry or spreadsheet software is commonly expected. Excellent time management, self-motivation, and the ability to follow guidelines accurately help individuals stand out in remote settings. These skills ensure consistent, high-quality content categorization, enabling users to efficiently locate information and supporting organizational goals.

What does a typical day look like for someone working in a remote content tagging position?

A typical day for a remote content tagging specialist involves reviewing and categorizing various types of digital content such as articles, videos, or images using predefined tags or metadata systems. You will often work independently, following detailed guidelines to ensure consistency and accuracy, while meeting daily or weekly productivity targets. Collaboration with content managers or quality assurance teams may occur through virtual meetings or chat platforms to clarify tagging protocols or address issues. This role offers a structured workflow and opportunities to contribute to the overall discoverability and organization of content, making it an integral part of digital media or information management teams.

What is a Content Tagging Remote job?

A Content Tagging Remote job involves analyzing and categorizing digital content—such as images, videos, articles, or products—by applying relevant tags or metadata. This helps improve searchability, organization, and personalization for users on platforms like e-commerce sites, media libraries, or streaming services. Workers typically follow predefined guidelines and may use specialized tools or AI-assisted software to ensure accuracy. Since it is remote, tasks are completed online with flexible hours, depending on the employer.

More about Content Tagging Remote jobs
What cities are hiring for Content Tagging Remote jobs? Cities with the most Content Tagging Remote job openings:
What are the most commonly searched types of Content Tagging jobs? The most popular types of Content Tagging jobs are:
What states have the most Content Tagging Remote jobs? States with the most job openings for Content Tagging Remote jobs include:
Infographic showing various Content Tagging Remote job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 8% Temporary, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,196 per year, or $28.5 per hour.
Sr. Knowledge Platform Architect - Claims & Ops

Full-time

Posted 11 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

48th of 281 rated insurance


Job description

Sr Cons Learning - TD07FE
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 Sr. Knowledge Platform Architect is a senior role responsible for defining and driving the end-to-end knowledge technology strategy, including headless content management architecture, content modeling, semantic structure (taxonomy/ontology/metadata), and AI integration-to ensure enterprise knowledge assets are AI-ready, governed, and operationally scalable. This role partners closely with Data Science, AI Engineering, Enterprise Architecture, and Knowledge Management to enable reliable knowledge retrieval, reasoning, and automation across AI use cases.
This individual is also accountable for upskilling and coaching the Knowledge Team in modern headless CMS patterns and structured content modeling, building durable internal capability while influencing stakeholders who may be unfamiliar with (or resistant to) new approaches.
The ideal candidate brings a unique blend of technical product leadership, content architecture expertise, AI governance acumen, and cross-functional influence to accelerate the organization's knowledge modernization journey.
WORK ARRANGEMENTS:
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our offices 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.
RESPONSIBILITIES:
1) Knowledge Platform & Technology Ownership
  • Own the knowledge platform technology roadmap, ensuring capabilities support both human and AI consumption (search, retrieval, API access, orchestration, analytics).
  • Define and govern target-state knowledge as a service architecture for headless/hybrid CMS, knowledge delivery, and integration patterns across channels and AI services.
  • Establish platform standards for content lifecycle, versioning, publishing workflows, and traceability to support regulated and high-risk knowledge domains.
  • Partner with IT/Architecture to ensure platform decisions align with security, privacy, accessibility, resiliency, and enterprise integration standards.

2) Semantic & Content Model Leadership
  • Collaborate with Sr. Content Architect to lead the design and evolution of content models (structured, modular, reusable components) and a supporting semantic layer (metadata, taxonomy, entity relationships) to normalize, classify, and define rules for platform-agnostic, AI-safe content.
  • Define best practices for field enforcement, content validation rules, and model governance (who can change what, how changes are tested, and how impacts are managed).
  • Enable improved findability and retrieval quality by establishing standards for classification, tagging, synonyms, and relationships (e.g., product, policy, procedure, scenario, jurisdiction, audience).
  • Guide Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes.

3) AI Enablement & Integration
  • Partner with Sr. Consultant AI Content Strategy and engineering to define and execute strategy supporting the Enterprise Knowledge Team, ensuring content is structured and semantically enriched for consumption by LLMs, agentic systems, and automation platforms (e.g., Amazon Connect, Google Vertex AI)
  • Ensure knowledge assets and platform capabilities integrate effectively with AI systems (e.g., retrieval-augmented generation, agent workflows, summarization, classification, routing).
  • Partner with Sr. Consultant AI Content Strategy on content development pipeline
    • Establish patterns for knowledge-to-AI pipelines: ingestion, transformation, chunking strategy, embedding refresh, and evaluation.
      • Indexing and retrieval (vector + keyword + metadata filters)
      • Grounding and citations (source traceability)
      • Quality scoring (completeness, freshness, readability, accuracy signals)
      • Guardrails (approved sources, access control, confidence thresholds)

4) Team Enablement & Capability Building
  • Upskill knowledge managers, content strategists, authors, data science and technology staff in:
    • Headless CMS fundamentals and architecture patterns
    • Modular content design and structured authoring
    • Content modeling practices (components, schemas, validations)
    • Semantic tagging and governance
  • Create playbooks, training modules, office hours, and "model review" forums to accelerate adoption and consistency.

5) Influence, Change Leadership & Stakeholder Alignment
  • Serve as a trusted advisor, translating complex technical concepts into clear business outcomes and risk/reward tradeoffs.
  • Influence leaders and teams who may be unfamiliar with structured content or skeptical of change-using data, prototypes, and outcome-based narratives.
  • Drive cross-functional decisions and alignment across product owners, SMEs, operations, compliance/legal, and technology partners.
  • Organize and facilitate working sessions, on-sites, and executive briefings that establish shared understanding of content architecture, semantic dependencies, and migration constraints.
  • Proactively identify gaps where Knowledge Team involvement is missing from AI initiatives and advocate for inclusion.
  • Partner with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontologically aligned knowledge data structures.

6) Governance, Risk, and Measurement
  • Ensure auditability and defensibility for AI-enabled experiences by maintaining clear provenance and change history.

REQUIRED QUALIFICATIONS:
  • 10+ years in a combination of knowledge management, content strategy, information architecture, content engineering, or platform/product leadership-with senior-level ownership of cross-functional outcomes.
  • Demonstrated experience designing and implementing headless or hybrid content management approaches and structured content models.
  • Strong understanding of semantic concepts: taxonomy, ontology, metadata strategy, entity modeling, graphing, and governance.
  • Proven experience partnering with Data Science / AI Engineering teams to integrate knowledge with AI/ML systems (RAG or similar patterns).
  • Excellent executive communication skills-able to drive decisions, align stakeholders, and simplify complex technical tradeoffs.
  • Strong influencing and change leadership skills, with a track record of moving resistant stakeholders toward adoption.

PREFERRED QUALIFICATIONS:
  • Master's degree in information science, library science, UX design, Artificial Intelligence or a related field; or a bachelor's degree with equivalent additional experience.
  • Experience enabling or operating AI-powered knowledge solutions (e.g., LLM grounding, evaluation, content quality scoring, agent tool use).
  • Experience with AI applications in content or taxonomy work, such as AI-assisted classification, metadata enrichment, prompt engineering, or knowledge graph development.
  • A product-oriented mindset and consultative working style - you think about knowledge, information architecture and taxonomy as products with users and adoption strategies, and you drive outcomes through influence rather than authority.
  • Familiarity with search and retrieval concepts (ranking, relevance, semantic search, hybrid search, vector search, metadata filtering).
  • Experience in regulated environments requiring strong governance, auditability, and access controls.
  • Background in content operations at scale (workflow design, editorial governance, QA processes).
  • Familiarity with SQL, Python, JSON, SPARQL, RDF, OWL etc. is a plus.

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:
$89,600 - $134,400
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

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

Social media