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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 ...

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 ...

SmartRecruiters

Company Description SmartRecruiters is the Recruiting AI Company that transforms hiring for the ... Our remote-friendly culture, competitive salaries, and strong internal mobility ensure that high ...

NinjaTrader

Sr. Software Test Engineer, Mobile

Chicago, IL · On-site +1

$100K - $150K/yr

Apply AI-assisted development tools - code generation, test generation, failure analysis - to ... We are not open to remote candidates for this role. Hybrid: For Chicago-based employees, we follow ...

PTC

Senior Customer Experience Analyst

Boston, MA · Remote

$100K - $120K/yr

Remote About PTC PTC is transforming how the physical and digital worlds connect. Our software ... Use AI responsibly to accelerate theme detection, sentiment classification, tagging, and synthesis ...

Tinuiti

Specialist, Paid Search

OR · Remote

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Decrease nonconverting queries; improve feed/tagging fidelity. * Product/AI usage: Adopt relevant ...

Tinuiti

Specialist, Paid Search

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Decrease non-converting queries; improve feed/tagging fidelity. * Product/AI usage: Adopt relevant ...

PTC

Senior Customer Experience Analyst

$100K - $120K/yr

Remote About PTC PTC is transforming how the physical and digital worlds connect. Our software ... Use AI responsibly to accelerate theme detection, sentiment classification, tagging, and synthesis ...

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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.
More about Remote Ai Tagging jobs
What cities are hiring for Remote Ai Tagging jobs? Cities with the most Remote Ai Tagging job openings:
What are the most commonly searched types of Ai Tagging jobs? The most popular types of Ai Tagging jobs are:
What states have the most Remote Ai Tagging jobs? States with the most job openings for Remote Ai Tagging jobs include:
What job categories do people searching Remote Ai Tagging jobs look for? The top searched job categories for Remote Ai Tagging jobs are:
Remote Ai Tagging jobs near you
Infographic showing various Remote Ai Tagging job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Ontology Systems Engineer

Ontology Systems Engineer

General Dynamics Mission Systems, Inc

Remote

$157K - $174K/yr

Full-time

Posted 5 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

75th of 186 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
  • Enterprise knowledge architecture. Define and maintain the overarching structure that connects domain-specific ontologies across pods. Manage the relationships between business vocabularies, taxonomies, and data models at the enterprise level.
  • Cross-domain consistency. Ensure that business concepts defined in one pod are compatible with concepts in other pods. Resolve naming conflicts, semantic overlaps, and definitional inconsistencies before they become integration problems.
  • Metadata and tagging standards. Establish enterprise-wide standards for metadata, tagging, classification, and search structures. Build the knowledge infrastructure that makes enterprise data findable, reusable, and machine-readable.
  • Business glossary governance. Own the enterprise business glossary - the authoritative source for what terms mean across the organization. Work with data owners and business stewards to maintain accuracy.
  • Knowledge repository architecture. Design the structures that store and expose enterprise knowledge - knowledge graphs, semantic catalogs, taxonomy services. Ensure AI agents can discover and traverse enterprise knowledge programmatically.
What You Won't Own
  • Pod-specific data modeling - that's the Data/Ontology Engineer's role within each pod
  • AI application development or engineering
  • Enterprise system administration or data engineering pipelines
What Makes This Role Different
  • You are building the connective tissue between multiple AI modernization efforts. Without your work, each pod builds an island. With it, they build a continent.
  • Your knowledge architecture directly enables cross-domain AI reasoning. An agent that can connect HR data to manufacturing data to supply chain data - that capability starts with your architecture.
  • This role requires both systems thinking and business fluency. You need to understand how manufacturing processes, HR workflows, and CRM systems relate at a business level, not just a data level.
Required Qualifications
  • Bachelor's degree in Systems Engineering, Computer Science, Information Science, or a related field, plus 8 years of experience; or Master's degree plus 6 years of experience
  • Experience designing enterprise-level data architectures, knowledge models, or information taxonomies that span multiple business domains
  • Strong understanding of ontology and semantic modeling concepts - you can work fluently with knowledge graph engineers and data modelers
  • Systems engineering mindset - you think about interfaces, dependencies, integration points, and emergent behavior across interconnected systems
  • Experience working across organizational boundaries - you have built consensus on shared standards across teams that had their own ways of doing things
  • Strong communication skills - you can explain data relationships to business stakeholders and architectural constraints to engineers
  • U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.
Preferred Qualifications
  • Experience with knowledge graphs, semantic web technologies, or enterprise taxonomy management
  • Experience with enterprise data platforms (Palantir Foundry, Snowflake, or similar) and their ontology or semantic layer capabilities
  • Background in manufacturing, defense, or complex enterprise environments with multiple interacting business systems
  • Experience defining metadata standards, business glossaries, or data governance frameworks at an enterprise level
  • Familiarity with how AI/LLM systems consume structured knowledge - RAG architectures, knowledge-grounded reasoning, semantic search
What Sets You Apart
  • You see the enterprise as a system of systems. You instinctively look for the connections between domains, not just the domains themselves.
  • You have resolved vocabulary conflicts across organizations and made the shared definition stick.
  • You can hold the big picture and the details at the same time - enterprise architecture in the morning, specific field mappings in the afternoon.
  • You build for reuse. Your architectures are designed to accommodate domains that don't exist yet, not just the ones in front of you today.
  • You are known as the person who can explain how everything connects. People come to you when they need to understand the whole.
Details
  • Remote - 100% telework
  • 9/80 schedule
  • Defense industry experience is not required

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $157,487.00 - USD $174,713.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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