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Remote Ai Tagging Jobs (NOW HIRING)

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Staff FinOps Engineer

Lehi, UT · On-site +1

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish and maintain cost allocation models, tagging standards, and governance frameworks that ...

MMB Solutions LLC

Systems Engineer

Dayton, OH · On-site +1

This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... into AI-ready wireless datasets. Responsibilities include: * Implementing automated tagging and ...

Real Chemistry

DevOps Engineer -- AWS and GitHub

$54 - $74/hr

... Remote state backends • + Module versioning • + Drift detection • Establish and operate ... • + Tagging strategies • + Cost monitoring (AWS Cost Explorer, Budgets) • Partner with ...

Arctiq

IAM Architect - Remote Contract

$67 - $89/hr

... Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help ... Proficiency in metadata tagging strategies, service access pattern development, and credential ...

National University System

Senior Digital Analyst

$62K - $84K/yr

Maintain tagging standards, data structures, and documentation to support reliable reporting for UX ... Enable and support AI-driven reporting and analytics, integrating behavioral, campaign, and ...

Horizon3.ai

Staff Revenue Operations Manager

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... type tagging, partner attribution, and forecast exclusion flagging for co-sell deals

Cribl

Revenue Enablement Intern

$20 - $22/hr

As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage ... With a global workforce, we're remote-first and grounded in a simple idea: software is a people ...

Betterment

Sr. CX Programs & Automation Manager

New York, NY · On-site +1

$130K - $160K/yr

This is a salaried, exempt role that is remote eligible, except for the New York City metro area ... Drive agent adoption of AI tools (copilot, smart suggestions, AI summaries, auto-tagging) through ...

Noblesoft Technologies

Solution Architect

Lawrenceville, NJ · Remote

$64.50 - $85/hr

Lawrenceville, NJ(Remote) Mandatory Skills: * Cloud expertise (AWS) * Cloud-native architectural ... tagging, personalization, MLR support, and knowledge discovery under Responsible AI governance ...

Owlet

Customer Operations Specialist

$35 - $45/hr

We are seeking a strategic, AI-first specialist who is analytically minded and thrives on turning ... Fully remote opportunity * Flex time scheduling

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All JobsRemote Ai Tagging Jobs

Remote Ai Tagging information

What is remote AI tagging?

Remote AI tagging is the process of labeling or annotating data, such as images, videos, or text, from a remote location to help train artificial intelligence systems. Individuals working in remote AI tagging use specialized software to identify and categorize objects, features, or patterns within data sets. This work is essential for improving the accuracy and performance of machine learning models. It can be done from anywhere with an internet connection, making it a flexible job option.

What are the key skills and qualifications needed to thrive as a Remote AI Tagging Specialist, and why are they important?

To thrive as a Remote AI Tagging Specialist, you need strong attention to detail, data annotation experience, and a basic understanding of machine learning concepts, usually backed by a relevant degree or equivalent experience. Familiarity with annotation platforms, data labeling tools, and quality control systems is typically required. Excellent communication, time management, and the ability to follow precise guidelines are crucial soft skills for excelling in this remote role. These skills ensure accurate data labeling, which is essential for developing effective AI models and maintaining project quality standards.

What is the difference between Remote Ai Tagging vs Data Labeler?

AspectRemote Ai TaggingData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesData management, research, tech companies
Search & Comparison IntentUnderstanding AI-specific tagging rolesGeneral data labeling roles

Remote Ai Tagging and Data Labeler roles both involve labeling data for machine learning, often remotely and with similar skills. However, Remote Ai Tagging typically emphasizes AI-specific tasks like image, video, or text annotation for AI models, while Data Labelers may work on broader data categorization projects. Both roles are essential in AI development, but Remote Ai Tagging often requires familiarity with AI workflows and tools.

What are some typical challenges faced by professionals working in remote AI tagging roles, and how can they be managed?

Remote AI tagging professionals often encounter challenges such as maintaining high accuracy while labeling large volumes of data and managing repetitive tasks that require close attention to detail. Working remotely can also lead to feelings of isolation, so regular communication with team members and participating in virtual meetings can help. Establishing a structured daily routine, using productivity tools, and staying updated on annotation guidelines are effective strategies to ensure consistent quality and meet project deadlines.
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Remote Ai Tagging jobs near you
Sr. Engineer, Cloud - Archimedes

Sr. Engineer, Cloud - Archimedes

Navitus Health Solutions, LLC

Remote

$57 - $76.25/hr

Full-time

Posted 15 days ago

Job description

Company
Archimedes
About Us
Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities.We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.
Pay Range
USD $0.00 - USD $0.00 /Yr.
STAR Bonus % (At Risk Maximum)
0.00 - Ineligible
Work Schedule Description (e.g. M-F 8am to 5pm)
Core Business Hours - Remote or Hybrid 3 Days in Office from our St. Louis, MO or Brentwood, TN offices
Remote Work Notification
ATTENTION: Archimedes is unable to offer remote work to residents of Alaska, Arizona, Arkansas, California, Connecticut, Delaware, Hawaii, Idaho, Louisiana, Maine, Massachusetts, Michigan, Mississippi, Montana, Nebraska, Nevada, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Utah, Vermont, Washington, West Virginia, And Wyoming.
Overview
The Sr. Engineer, Cloud serves as the technical lead for Azure cloud architecture, governance, networking, security, observability, and platform operations. This role is responsible for establishing cloud engineering standards, reusable architecture patterns, landing zone strategies, infrastructure governance controls, and operational best practices supporting enterprise applications, data platforms, analytics, machine learning, and AI initiatives. The Sr. Engineer, Cloud supports enterprise data platform initiatives, including Azure Data Lake Storage Gen2, Azure Databricks, Unity Catalog, and related analytics services. This role is responsible for designing and operating the cloud infrastructure, networking, security, identity, governance, and platform services that enable scalable, secure, and compliant lake house, analytics, and AI workloads.
The Sr. Engineer, Cloud plays a critical role in enabling the organization's AI and advanced analytics strategy by designing and operating the cloud infrastructure, security architecture, networking, governance controls, and platform services required to support machine learning, generative AI, intelligent automation, and data-driven business solutions. This role ensures AI workloads are deployed in secure, scalable, compliant, and cost-effective cloud environments. Operating in an Azure-first environment, the Senior Cloud Engineer provides technical leadership for cloud modernization, platform engineering, infrastructure automation, cloud security, and operational excellence initiatives. The role partners closely with Data Engineering, DevOps, Security, Software Engineering, and Compliance teams to deliver highly available, resilient, secure, and cost-optimized cloud platforms while mentoring engineers and driving adoption of cloud-native best practices.
Responsibilities
How do I make an impact on my team?
  • Serve as the technical lead for Azure cloud architecture, governance, networking, security, observability, and platform operations.
  • Define and maintain cloud engineering standards, landing zone architectures, reusable infrastructure patterns, and governance frameworks supporting enterprise cloud adoption.
  • Lead architecture reviews for cloud infrastructure, networking, security, identity, data platform infrastructure, and modernization initiatives.
  • Provide technical leadership and mentorship to Cloud Engineers, DevOps Engineers, and other engineering teams on Azure architecture, automation, governance, and operational best practices.
  • Partner with Data Engineering and DevOps teams to establish secure, scalable, and automated cloud foundations supporting Azure Databricks, Data Lake Storage, analytics platforms, and AI workloads.
  • Establish cloud governance controls including subscription strategy, management groups, policy-as-code, tagging standards, resource organization, and cost management practices.
  • Act as the highest-level escalation point for complex cloud infrastructure, networking, security, identity, and platform-related issues.Architect and deploy solutions using core Azure services, including Azure App Services, AKS, Azure SQL, Storage Accounts, Application Gateway, Azure Front Door, and Load Balancers.
  • Design and deploy scalable, secure solutions using core Azure services including App Services, AKS, Azure SQL, Storage Accounts, Application Gateway, Azure Front Door, Load Balancers, and related PaaS/IaaS components.
  • Design and support cloud infrastructure architectures that enable machine learning, generative AI, intelligent automation, analytics, and data science workloads.
  • Collaborate with Data Engineering, DevOps, and Software Engineering teams to establish cloud platform capabilities supporting AI model development, training, deployment, monitoring, and governance.
  • Implement cloud security, networking, identity, and governance controls supporting AI and machine learning workloads, ensuring compliance with organizational, regulatory, and cybersecurity requirements.
  • Support Azure services utilized for AI and advanced analytics initiatives, including Azure Databricks, Azure Machine Learning, Azure OpenAI, Cognitive Services, and related cloud-native capabilities.
  • Evaluate emerging cloud-native AI services, automation technologies, and platform capabilities to support enterprise AI adoption and operational efficiency.
  • Partner with architecture, security, and data teams to ensure AI platforms align with enterprise standards for scalability, resilience, privacy, governance, and responsible AI practices.Design, implement, and support cloud infrastructure and networking services that enable Azure Data Lake Storage Gen2, Azure Databricks, analytics platforms, and AI workloads.
  • Collaborate with Data Engineering and DevOps teams to establish secure, scalable, and automated cloud foundations for lake house architectures, data pipelines, and enterprise analytics platforms.
  • Implement private networking, identity management, access controls, encryption, monitoring, and governance controls supporting Azure Databricks, Data Lake Storage, and related analytics services.
  • Support deployment and operation of Azure Databricks workspaces, Unity Catalog integrations, managed identities, private endpoints, and secure service connectivity across cloud environments.
  • Partner with Data Engineering teams to optimize cloud infrastructure supporting data ingestion, transformation, storage, analytics, and machine learning workloads.
  • Automate infrastructure provisioning with reusable, version-controlled modules using Terraform, Bicep, and ARM templates, with standardized reusable modules and GitOps practices using Azure DevOps Pipelines.
  • Design scalable Virtual Network (VNet) architectures, including VNet peering, Private Endpoints, Service Endpoints, User Defined Routes (UDRs), Network Security Groups (NSGs), Azure Firewall, and ExpressRoute/VPN Gateway integrations.
  • Manage hybrid workloads, supporting both Azure-native and lift-and-shift workloads across IaaS and PaaS resources.
  • Develop and maintain infrastructure automation scripts using Azure CLI, PowerShell, and Python.
  • Implement and enforce tagging policies, naming standards, resource locks, and subscription-level policies using Azure Policy and Management Groups.
  • Configure and monitor autoscaling, high availability, zone redundancy, and backup/restore for critical services across production and non-production environments.
  • Develop automation tooling using Azure CLI, PowerShell, and Python to streamline provisioning, governance, and operational workflows.
  • Implement governance frameworks using Azure Policy, Management Groups, resource locks, tagging policies, and naming conventions for enterprise-scale environments.
  • Configure high availability and performance features, including autoscaling, zone redundancy, backup and disaster recovery across all critical environments.
  • Lead cost management efforts through Azure Cost Management, budget tracking, right-sizing recommendations, Reserved Instances, and cost anomaly detection.
  • Serve as Tier 2 escalation for complex infrastructure incidents and requests, working closely with operations and support teams.
  • Adopt ITSM best practices, contributing to incident, problem, and change management workflows using Jira Service Management or equivalent tools.
  • Drive cost optimization using Azure Cost Management, budgets, recommendations, and Reserved Instance planning.
  • Act as a Tier 2 escalation point for cloud infrastructure and platform-related incidents and service requests.
  • Manage cloud identity and access using Microsoft Entra ID (formerly Azure Active Directory), including configuration of user roles, enterprise applications, and secure authentication policies.
  • Implement secure external identity integrations using Entra B2B (guest access) and Entra B2C (customer identity), including custom policies, user flows, and application federation.
  • Administer Microsoft Intune for mobile device management (MDM) and mobile application management (MAM), enforcing compliance policies, conditional access, and device posture assessments.
  • Leverage ITSM best practices to support incident, change, and problem management processes.
  • Collaborate with IT and DevOps teams via Jira Service Management and ticketing systems to track work, escalate issues, and drive resolution.
  • Assist in root cause analysis, change approvals, and cross-functional resolution of infrastructure-related production issues.
  • Maintain knowledge base documentation, FAQs, and standard operating procedures for service desk support alignment.
  • Set up and tune observability tools including Azure Monitor, Log Analytics, Application Insights, Network Watcher, and Connection Monitor.
  • Develop Kusto Query Language (KQL) dashboards for operational visibility and alerting.
  • Support incident response and RCA using Activity Logs, Diagnostics Settings, and Change Analysis.
  • Implement secure identity and access management using Azure Active Directory, RBAC, Privileged Identity Management (PIM), Conditional Access, and Managed Identities.
  • Secure secrets and certificates using Azure Key Vault with access policies and key rotation.
  • Support SSO and OAuth2/OpenID Connect configurations for internal and external applications registered in Entra ID, managing permissions, scopes, and consent frameworks.
  • Configure Microsoft Defender for Cloud, Azure Security Center, Just-in-Time VM Access, and Sentinel integrations for threat detection and response.
  • Apply best practices aligned to the Azure Security Benchmark and Well-Architected Framework.
  • Ensure infrastructure compliance for regulatory standards such as HIPAA, SOC 2, and ISO 27001, and maintain an audit-readiness posture.
  • Participate in, adhere to, and support compliance, people and culture, and learning programs.
  • Perform other duties as assigned.

Qualifications
What our team expects from you?
  • Education: Bachelor's degree or equivalent work experience required.
  • Certification/Licenses: Microsoft certifications such as Azure Solutions Architect Expert, Azure Administrator Associate, or Azure Security Engineer Associate preferred.
  • Experience:
    • 8+ years of experience in cloud infrastructure, cloud engineering, platform engineering, systems engineering, or Site Reliability Engineering (SRE) roles, including at least 5 years of hands-on Azure architecture and engineering experience required.
    • Demonstrated experience leading cloud modernization, platform engineering, infrastructure automation, governance, and operational excellence initiatives required.
    • Deep experience with Azure resource design, automation, Infrastructure-as-Code, and deployment strategies utilizing Terraform, Bicep, and ARM templates required.
    • Experience designing Azure landing zones, governance frameworks, enterprise networking architectures, private connectivity, and cloud operating models required.
    • Experience supporting cloud infrastructure for machine learning, artificial intelligence, advanced analytics, or data science workloads preferred.
    • Familiarity with Azure Machine Learning, Azure OpenAI, Cognitive Services, Databricks ML, MLflow, vector databases, and AI platform architectures preferred.
    • Understanding of cloud security, governance, privacy, and operational considerations supporting AI and machine learning environments preferred.
    • Strong understanding of Azure networking, firewalls, DNS, load balancing, hybrid connectivity, ExpressRoute, VPN, and Zero Trust security architectures required.
    • Experience supporting Azure Data Lake Storage Gen2, Azure Databricks, Unity Catalog, Delta Lake, lake house architectures, analytics platforms, and AI-related workloads preferred.
    • Familiarity with data platform security, data governance controls, private connectivity patterns, and cloud-native analytics architectures preferred.
    • Experience mentoring engineers, conducting architecture reviews, and providing technical leadership across cloud infrastructure and platform initiatives preferred.
    • Experience working within regulated environments supporting HIPAA, HITRUST, SOC 2, ISO 27001, NIST, or similar compliance frameworks preferred.
    • K

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