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Remote Ai Data Rater Jobs in Center Line, MI (NOW HIRING)

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

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

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Remote Ai Data Rater information

See Center Line, MI salary details

$9

$55

$78

How much do remote ai data rater jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote ai data rater in Center Line, MI is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $64.13 per hour, depending on experience, location, and employer.

What is a remote AI data rater?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.

What skills and qualifications are needed to be a remote AI data rater?

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What challenges do remote AI data raters face and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

What job categories do people searching Remote Ai Data Rater jobs in Center Line, MI look for?

The top searched job categories for Remote Ai Data Rater jobs in Center Line, MI are:

What cities near Center Line, MI are hiring for Remote Ai Data Rater jobs?

Cities near Center Line, MI with the most Remote Ai Data Rater job openings:

Remote Ai Data Rater jobs near you
Infographic showing various Remote Ai Data Rater job openings in Center Line, MI as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $114,702 per year, or $55.1 per hour.

OCI Architect

Troy, MI • On-site, Remote

Centroid Systems, Inc.
IT Services • 51 - 200 employees
Learn more about Centroid Systems, Inc.external

Full-time

Re-posted 12 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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