1

Semantic Jobs in Michigan (NOW HIRING)

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental ...

... in semantic object linking and leveraging Foundry''s semantic model for data transformation and enrichment. • Knowledge of data quality processes and the ability to implement testing and ...

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

HTML Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of HTML5 semantic elements, document structure, forms and input types, tables, lists, multimedia embedding, accessibility attributes, meta tags, and integration with CSS and JavaScript.

HTML Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of HTML5 semantic elements, document structure, forms and input types, tables, lists, multimedia embedding, accessibility attributes, meta tags, and integration with CSS and JavaScript.

next page

Showing results 1-20

Semantic information

See Michigan salary details

$48.4K

$103.4K

$151.2K

How much do semantic jobs pay per year?

As of Jul 5, 2026, the average yearly pay for semantic in Michigan is $103,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $116,400.00 per year, depending on experience, location, and employer.

What are semantic jobs?

Semantic jobs typically refer to roles that involve working with the meaning, structure, and interpretation of language or data. These positions are common in fields like linguistics, natural language processing (NLP), artificial intelligence, and information retrieval. Semantic professionals may develop algorithms to understand human language, create ontologies, or improve search engine relevance. Their work helps computers better interpret and process information as humans do, making technologies smarter and more intuitive.

What is a Semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are less likely to be fully replaced by AI. These roles often involve emotional intelligence, hands-on skills, and adaptability that AI cannot replicate easily.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What jobs pay 4000 a week without a degree?

Roles such as sales managers, real estate brokers, commercial pilots, and certain skilled trades like electricians or plumbers can pay around $4,000 weekly without requiring a college degree. These jobs often rely on experience, certifications, or licenses, and may involve commission, tips, or project-based pay structures.

What are the key challenges faced by Semantic Engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

What kind of jobs in media bring in 150,000 a year?

High-paying media jobs that can earn $150,000 or more annually include senior roles such as media directors, executive producers, and digital strategists, often requiring extensive experience, leadership skills, and advanced knowledge of industry tools. These positions typically involve managing large teams, overseeing major projects, or developing strategic content, and may require advanced degrees or certifications in media, communications, or related fields.

What are the key skills and qualifications needed to thrive as a Semantic Analyst, and why are they important?

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

Is ML a high paying job?

Machine learning (ML) roles are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML positions offer competitive compensation compared to other tech roles.
What are the most commonly searched types of Semantic jobs in Michigan? The most popular types of Semantic jobs in Michigan are:
What are popular job titles related to Semantic jobs in Michigan? For Semantic jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Semantic job openings in Michigan as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $103,436 per year, or $49.7 per hour.
Lead Data Architect (Semantic Layer)

Lead Data Architect (Semantic Layer)

Domino's Pizza

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,891 frontline employees who took The Breakroom Quiz

19th of 22 rated food delivery companies


Job description

Company Description

Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!

Job Description

Role Overview

We are seeking a Senior Semantic Layer Data Architect to lead the design, implementation, and evolution of a centralized semantic layer on Databricks. This role enables governed, scalable, and reusable data products across the enterprise while ensuring metric consistency, trust, and business alignment.

This position sits at the intersection of data architecture, analytics engineering, and governance, partnering closely with stakeholders across the enterprise.

General Responsibilities

  • Own and evolve the enterprise semantic layer strategy, including modeling standards, metric design, and governance patterns.
  • Define and maintain conformed dimensions, canonical entities, standardized KPIs, and curated analytic views.
  • Design and operate a trusted enterprise metrics layer to eliminate metric drift across Power BI dashboards and teams.
  • Partner with Marketing, Supply Chain, Operations, and Finance stakeholders to define KPI logic, grains, hierarchies, and calculation rules.
  • Establish governance processes for metric versioning, change management, and impact analysis.
  • Leverage Databricks Unity Catalog to enforce access controls, classification, lineage, and auditability for semantic assets.
  • Enable consistent analytics consumption through star schemas, aggregated views, and certified datasets.
  • Provide semantic leadership for enterprise domains, applying CPG/QSR/Retail industry context.
  • Create enterprise semantic modeling standards, templates, playbooks, and enablement materials.
  • Guide and review domain semantic implementations to ensure alignment with central standards and best practices.
Qualifications
  • 10+ years of experience in data architecture, analytics engineering, BI architecture, or related roles.
  • Proven experience designing and operating an enterprise semantic layer or governed metrics framework.
  • Strong handson experience with Databricks (Delta Lake, Databricks SQL).
  • Deep expertise in dimensional modeling, including fact/dimension design, conformed dimensions, and grain management.
  • Advanced SQL skills and strong understanding of analytical query patterns.
  • Experience enabling enterprise analytics through Power BI.
  • Excellent written and verbal communication skills with technical and business audiences.

Preferred Qualifications

  • Experience with Databricks Unity Catalog for governance and semantic asset management.
  • Background in CPG, QSR, or Retail domains, particularly Finance, Marketing or Supply Chain analytics.
  • Experience operating within a centralized data platform or semantic layer center of excellence.
  • Familiarity with data product operating models, data quality frameworks, and observability.
Additional Information

Benefits:
    Paid Holidays and Vacation 
    Medical, Dental & Vision benefits that start on the first day of employment
    No-cost mental health support for employee and dependents
    Childcare tuition discounts
    No-cost fitness, nutrition, and wellness programs 
    Fertility benefits
    Adoption assistance
    401k matching contributions 
    15% off the purchase price of stock 
    Company bonus 
 


 


What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US