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Taxonomy Jobs in Utah (NOW HIRING)

Architect and own the full capture, transcription, structuring, and edge-case taxonomy pipeline for field knowledge systems. * Drive engineering-workflow automation and communications-triage programs ...

Lead Enterprise Process Architect

Layton, UT · On-site

$143.40 - $219.30/hr

Establishes and governs enterprise process architecture standards, including process taxonomy, decomposition methods, workflow design patterns, documentation expectations, and governance practices.

Senior Azure Cloud Engineer (Remote)

Salt Lake City, UT · On-site +1

$54 - $72/hr

Define and enforce cloud governance standards including subscription management, Azure Policy, resource organization, tagging taxonomy, and cost management across all environments * Establish and ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Develop entity extraction, relationship extraction, ontology, taxonomy, and metadata enrichment pipelines to improve knowledge discovery. * Translate business requirements into scalable data models ...

Senior Knowledge Manager

Lehi, UT · On-site

$107 - $230/hr

Establish and execute scalable content governance frameworks, information architectures, and taxonomy standards to optimize knowledge quality, consistency, and search discoverability across global ...

Review and optimize product presentation on site pages including color thumbnails, boost and sort order, cross‑sells, backorder management, and site taxonomy and facets * Use AI tools (ChatGPT ...

Showing results 21-33

Taxonomy information

See Utah salary details

$16

$51

$69

How much do taxonomy jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for taxonomy in Utah is $51.77, according to ZipRecruiter salary data. Most workers in this role earn between $49.90 and $58.41 per hour, depending on experience, location, and employer.

What is a taxonomy?

A Taxonomy job involves organizing, categorizing, and structuring information to improve searchability and data management. Taxonomists create classification systems, metadata schemas, and controlled vocabularies to help users find relevant content efficiently. They often work in fields like e-commerce, libraries, knowledge management, and artificial intelligence. Their role is crucial for enhancing navigation, search functionality, and data consistency across digital platforms.

What does a taxonomy do?

In a taxonomy position, your daily responsibilities may include designing and maintaining classification systems, developing controlled vocabularies, and organizing digital content for optimal search and navigation. You'll collaborate with product managers, UX designers, content creators, and data specialists to ensure taxonomies meet business and user needs. Regular tasks often involve auditing existing taxonomies, mapping new data, and updating documentation to reflect changes. This role requires both independent analysis and cross-functional teamwork, making it dynamic and integral to improving information architecture within the organization.

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

To succeed in a taxonomy role, strong analytical skills, attention to detail, and a background in information science, library science, or related fields are typically required. Familiarity with metadata standards, taxonomy management platforms (such as PoolParty or Synaptica), and experience with classification systems are important assets. Excellent collaboration, communication, and problem-solving abilities help taxonomy professionals work effectively with stakeholders from various departments. These skills are crucial for creating logical, user-friendly organizational structures that improve data discoverability and consistency across digital platforms.

What are the careers in taxonomy?

Careers in taxonomy include roles such as taxonomist, biological scientist, and data curator, focusing on classifying and organizing biological or information systems. These positions often require expertise in biology, ecology, or information management, and may involve fieldwork, research, or data analysis using specialized tools and software.

What are the most commonly searched types of Taxonomy jobs in Utah?

The most popular types of Taxonomy jobs in Utah are:

What are popular job titles related to Taxonomy jobs in Utah?

For Taxonomy jobs in Utah, the most frequently searched job titles are:

Infographic showing various Taxonomy job openings in Utah as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $107,672 per year, or $51.8 per hour.

AI Solutions Engineer III

Autonomous Solutions

Lehi, UT • On-site

Full-time

Re-posted 26 days ago


Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.
As an AI Solutions Engineer III at ASI, you are responsible for leading discovery-to-adoption engagements across multiple departments, architecting knowledge-capture and automation systems, and mentoring junior engineers. You define pilot scope, success metrics, and adoption plans, and serve as a senior technical authority on AI-powered workflow and knowledge systems at ASI.
Responsibilities
  • Lead discovery-to-adoption engagements across multiple departments simultaneously.
  • Define pilot scope, success metrics, and adoption plans for automation and knowledge-capture projects.
  • Architect and own the full capture, transcription, structuring, and edge-case taxonomy pipeline for field knowledge systems.
  • Drive engineering-workflow automation and communications-triage programs from prototype through production handoff.
  • Produce engineering-ready requirements documents and queryable knowledge bases consumed directly by engineering teams.
  • Mentor AI Solutions Engineers I and II on discovery methods, pipeline design, and stakeholder engagement.
  • Present pilot findings and adoption results to department leads and engineering leadership.
  • Evaluate and integrate speech-to-text, large language model (LLM), and data-structuring tooling into production pipelines.
  • Build fully automated AI autonomous systems for all operations.

Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of software development experience with fluency in modern AI development tools.
  • Proven track record delivering automation or knowledge-capture systems from discovery through production.
  • Experience building capture, transcription, and structuring pipelines using speech-to-text, large language models (LLMs), or similar tooling.
  • Ability to lead discovery engagements and adoption planning with engineering and operations stakeholders.
  • Experience producing engineering-ready requirements from unstructured field knowledge.
  • Active mentorship of junior engineers in a professional setting.
  • Experience building AI automation workflows.
  • Experience building vector databases.
  • Experience with Obsidian or similar knowledge-management systems.
  • Experience building AI voice systems is a plus.
  • Experience with OpenClaw is a plus.

Application Requirement
Submit a project you have built that relates to this role as part of your application.
Physical Requirements
  • Ability to remain in a stationary position at a computer workstation constantly throughout the workday.
  • Ability to constantly operate a computer and other office productivity machinery.
  • Ability to effectively complete job responsibilities on computer monitors.
  • Ability to effectively communicate and exchange information in person, via phone, and through other electronic means.
  • Able to traverse an office environment.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.