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Semantic Jobs in Michigan (NOW HIRING)

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

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 ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

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 ...

ConfigUSA

Netvibes Developer

Dearborn, MI · On-site

NETVIBES Expertise: 5+ years of hands-on experience configuring NETVIBES| 3DSpace indexers| Cloud/On-Premises Data Lakes| and semantic data models. Skills: EIS : 3DEXPERIENCE Design and Engineering ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$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 ...

Torc Robotics

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 ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

Build VLM-assisted auto-labeling - develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Build VLM-assisted auto-labeling - develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes ...

System One

Palantir Foundry Data Engineer

Detroit, MI · On-site

... 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 ...

Premier Truck Rental

Senior Analytics Engineer

Detroit, MI

$103K - $142K/yr

Core Modeling & Semantic Layer : Design and build the core dbt models and Sigma datasets/semantic models the business relies on, applying dimensional modeling standards and software engineering best ...

New

May Mobility

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 ...

May Mobility

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 ...

Varsity Tutors

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.

Varsity Tutors

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.

Varsity Tutors

HTML Tutor

Detroit, 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.

Cygnus Professionals, Inc.

Front-End Dev expert

Lansing, MI · On-site

$105K - $122K/yr

Position will lead the effort in bringing both high fidelity/low fidelity mockups to production through standards compliant/semantic code. We are looking for a Front-End Dev expert. As such, expert ...

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All JobsSemantic JobsSemantic Jobs in Michigan

Semantic information

See Michigan salary details

$48.4K

$103.4K

$151.2K

How much do semantic jobs pay per year?

As of Jul 25, 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:
What job categories do people searching Semantic jobs in Michigan look for? The top searched job categories for Semantic jobs in Michigan are:
Semantic jobs near you
Infographic showing various Semantic job openings in Michigan as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $103,436 per year, or $49.7 per hour.

Senior AI Context Engineer

Kiongroup

Grand Rapids, MI • Hybrid

$134K - $179K/yr

Other

Posted 5 days ago

Job description

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 semantic layers, certified KPI frameworks, metadata systems, and AI-ready data abstractions that enable trusted analytics and reliable AI consumption.
This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines strong technical execution skills with architectural thinking and cross-functional collaboration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications:

This is What You Will do in This Role:

  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Build AI-safe data abstraction layers that prevent metric recomputation and ensure consistency across analytics and AI use cases.
  • Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains.
  • Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred).
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.
  • Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks.
  • Apply DataOps principles including CI/CD, automated testing, and deployment automation for data products.
  • Support domain-oriented and microservices-based data architecture patterns.
  • Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform design.

What We are Looking For:

  • 10-15+ years of experience in enterprise-scale cloud data engineering and distributed systems.
  • Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run).
  • Deep expertise in SQL, Python, and data modeling (dimensional modeling, lakehouse architectures).
  • Experience with open-source tech stack such as Iceberg, Trino, Kubernetes, Docker etc.
  • Hands-on experience with metadata management, lineage tracking, observability, and data quality frameworks.
  • Experience building both batch and real-time streaming data systems.
  • Strong understanding of semantic modeling, business metric governance, and AI consumption patterns.

What Will Set You Apart:

  • Experience with Data Mesh or domain-driven data architecture.
  • Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG).
  • Supply chain background

Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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