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Remote Semantic Jobs in Clarkston, MI (NOW HIRING)

Centroid Systems, Inc.

OCI Architect

Troy, MI · Remote

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... Cohere and Meta model endpoints, embedding models, semantic search patterns * OCI AI Agents: agent ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... Cohere and Meta model endpoints, embedding models, semantic search patterns * OCI AI Agents: agent ...

All JobsSemantic JobsRemote Semantic JobsRemote Semantic Jobs in Clarkston, MI

Remote Semantic information

See Clarkston, MI salary details

$85.3K

$129.8K

$174.8K

How much do remote semantic jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote semantic in Clarkston, MI is $129,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a remote semantic job?

Remote semantic jobs involve working with the meaning and interpretation of language, often in the context of natural language processing (NLP), artificial intelligence, or data analysis, but performed from a remote location. These roles may include tasks such as semantic annotation, ontology development, or improving search and recommendation systems. Professionals in these jobs typically use linguistic, analytical, and technical skills to help computers better understand human language. Remote semantic jobs are common in tech companies, research institutions, and organizations focused on language technologies.

What are the key skills and qualifications needed to thrive as a remote semantic analyst?

To thrive as a Remote Semantic Analyst, you need a strong background in linguistics, data analysis, and natural language processing, often supported by a relevant degree. Familiarity with semantic annotation tools, machine learning platforms, and programming languages like Python is commonly required. Attention to detail, critical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure accurate analysis and interpretation of language data, supporting the development of advanced AI and search technologies.

What are some common challenges faced by professionals working in remote semantic analysis roles, and how can they be addressed?

Professionals in remote semantic analysis roles often encounter challenges such as limited direct communication with colleagues, managing large and complex datasets, and maintaining alignment on project goals. To address these, it's important to proactively engage in regular virtual meetings, utilize collaborative tools for version control and annotation, and establish clear documentation standards. Building strong communication habits and staying updated on the latest semantic technologies can also help remote teams stay efficient and aligned.

What is the difference between Remote Semantic vs Remote Data Analyst?

AspectRemote SemanticRemote Data Analyst
Required CredentialsBachelor's in Linguistics, Computer Science, or related fields; knowledge of semantic technologiesBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or AI companies, remote or hybridData-focused teams, in tech, finance, or healthcare sectors, remote or hybrid
Employer & Industry UsageTech companies, AI startups, NLP projectsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Semantic professionals focus on understanding and applying semantic technologies, often in NLP and AI projects, requiring linguistics or computer science credentials. Remote Data Analysts analyze data sets to inform business decisions, requiring strong statistical skills. While both roles can be remote and work in tech environments, their core skills and industry applications differ significantly.

What are popular job titles related to Remote Semantic jobs in Clarkston, MI?

For Remote Semantic jobs in Clarkston, MI, the most frequently searched job titles are:

Remote Semantic jobs near you
Infographic showing various Remote Semantic job openings in Clarkston, MI as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,846 per year, or $62.4 per hour.

OCI Architect

Centroid Systems, Inc.

Troy, MI • Remote

Full-time

Re-posted 7 days ago

Job description

Centroid is Oracle Corporation's top Oracle Cloud Infrastructure (OCI) partner in North America, delivering architecture, implementation and modernization initiatives in OCI for our customers.
Our architects work directly alongside Centroid’s and client teams to design, migrate, and modernize mission-critical workloads- Oracle Databases, EBS, PeopleSoft, and next-generation AI/Data, Agentic AI, OCI genAI Platform solutions on OCI.
This is a senior, hands-on technical role. You will serve as the primary OCI architect on client engagements: owning solution design end-to-end, guiding technical decisions, and delivering production-grade implementations. No people management responsibilities.
As OCI Architect you will be engaging with various customers in their cloud enablement initiatives. The candidate will be involved in design and execution of cloud migration strategy, automating existing cloud workloads in cloud, provide services to port existing workloads to leverage cloud benefits.
Requirements:
  • 10+ years of experience in customer-facing infrastructure or cloud architecture roles
  • 5+ years of hands-on OCI design and implementation experience

Location: 100% Remote
Job Type:  Full Time employee, CTH, or Contract 
  • Architect end-to-end OCI solutions for customer engagements spanning landing zone design, network topology, identity, compute, storage, and database tiers
  • Lead Oracle Database workload migrations to OCI, including Exadata Cloud Service, Autonomous Database (ADB), and Base Database Service, with a focus on performance, HA, and DR
  • Design and execute Oracle Applications migrations (EBS, PeopleSoft, JD Edwards) to OCI, including lift-and-shift and modernization patterns
  • Architect and deploy AI/Data Platform (AIDP) workloads leveraging OCI GenAI Service, OCI AI Agents, OCI Data Science, and Oracle Database 23ai Vector Search
  • Develop and present technical architectures, reference designs, and migration runbooks for client pre-sales and delivery engagements
  • Build and maintain OCI landing zones using Terraform and OCI Resource Manager, aligned to Oracle's CIS Foundations Benchmark
  • Collaborate with Oracle technical teams (STCs, Cloud Engineers) on joint client engagements; serve as the technical point of escalation for Centroid
  • Define standards, reusable patterns, and architectural guardrails for Centroid's OCI delivery practice

Skills Preferred:
OCI Core Services
  • Compute: VM/BM shapes, Flex shapes, instances, autoscaling, instance configurations
  • Networking: VCN design, FastConnect, Site-to-Site VPN, DRG v2, Network Firewall, load balancers (L4/L7), DNS, Private DNS Resolver
  • Storage: Block Volume, File Storage (FSS), Object Storage (lifecycle, replication, versioning), Local NVMe
  • IAM: compartment hierarchy, policies, dynamic groups, federated identity (SAML/SCIM), OCI Vault, Bastion Service
  • Kubernetes: OKE cluster provisioning, node pool management, cluster networking (flannel/NPN), OCI Container Registry (OCIR)

Oracle Database & Exadata
  • Autonomous Database (ADB-S, ADB-D), Base Database Service, Exadata Cloud Service, Exadata Cloud@Customer
  • Data Guard (Maximum Availability, Maximum Performance), GoldenGate for live migration and zero-downtime cutovers
  • Oracle Database 23ai: JSON Relational Duality, True Cache, AI Vector Search, Select AI
  • Database migration tools: MV2ADB, Data Pump, ZDLRA, Database Migration Service (DMS)

Oracle Applications (Migrations to OCI)
  • EBS 12.1/12.2 on OCI: architecture patterns, shared file system design, wallet-based DB connectivity or similar Oracle Application experience, like Peoplesoft or JDE.

AI / GenAI / Data Platform
  • OCI Generative AI Service: Cohere and Meta model endpoints, embedding models, semantic search patterns
  • OCI AI Agents: agent frameworks, tool configuration, RAG pipelines, knowledge base integration
  • OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)
  • Oracle Database 23ai Vector Search: VECTOR data type, HNSW/IVF indexes, vector distance functions

Technical Skills — Preferred
  • Multi-cloud connectivity: OCI–Azure Interconnect, OCI–AWS, Oracle Database@Azure, Oracle Database@AWS
  • Oracle WebLogic Server on OCI / WebLogic for OKE
  • ZFS Storage Appliance on OCI, Oracle Linux, RHEL administration at scale
  • Observability: OCI Monitoring, Logging, Application Performance Monitoring (APM), OCI Ops Insights
  • FinOps: cost analysis, committed use discounts, OCI resource scheduling

Preferred Qualifications
  • Oracle Cloud Infrastructure Architect Associate (1Z0-1072) - required within 90 days if not already held
  • Oracle Cloud Infrastructure Architect Professional (1Z0-997) - strongly preferred
  • Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127) - preferred
  • Oracle Exadata Database Machine Implementation Specialist - preferred for Exadata-focused engagements
  • Hands-on experience with Oracle Cloud Lift projects

Education
  • Bachelor’s degree in computer science, Information Systems, Electrical Engineering, or equivalent field - or equivalent professional experience
  • 10+ years total technical experience; 5+ years OCI-specific hands-on delivery

What Sets This Role Apart
You will work on OCI exclusively with ability to learn and engage with emerging technologies like multi-cloud architecture, Agentic AI and Generative AI. Centroid's clients engage us because of deep Oracle expertise, you will architect solutions that Oracle's own SCs reference, participate in Oracle partner programs, and shape how enterprise customers realize value from OCI's most advanced capabilities. If you are an OCI practitioner who wants to do the most technically demanding Oracle Cloud work available, this role is built for you.
 

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