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Remote Ai Tagging Jobs (NOW HIRING)

Horizon3.ai

Principal Cloud FinOps Analyst

... tagging to enable reporting. Make Cloud and AI spend billing data available in analytics and ... Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and ...

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Establish and enforce AI development best practices, including MLOps, version control ... Familiarity with cloud resource-tagging strategies and governance policies that support cost ...

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Establish and enforce AI development best practices, including MLOps, version control ... Familiarity with cloud resource-tagging strategies and governance policies that support cost ...

Welo Data

English AI Maps Trainer

Las Vegas, NV · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welocalize

English AI Maps Trainer

Yuma, AZ · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote * Estimated volume: 8 - 10 hours * Start date: The project runs on a weekly basis. Eligible ...

Welo Data

English AI Maps Trainer

Minneapolis, MN · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welo Data

English AI Maps Trainer

Bridgeport, CT · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welo Data

English AI Maps Trainer

Kansas City, MO · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welocalize

English AI Maps Trainer

MO · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote * Estimated volume: 8 - 10 hours * Start date: The project runs on a weekly basis. Eligible ...

Welo Data

English AI Maps Trainer

Chicago, IL · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welo Data

English AI Maps Trainer

Houston, DE · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welo Data

English AI Maps Trainer

Baltimore, MD · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Welo Data

English AI Maps Trainer

Nashville, TN · Remote

$20.30/hr

Follow strict project instructions and complete tasks accurately, including tagging specific issues ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

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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?

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 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.

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.

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 August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Principal Cloud FinOps Analyst

Horizon3.ai

Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 hours ago

Job description

Get to Know Us
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.
We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox" security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.
What You'll Do
We are looking for an experienced Cloud FinOps practitioner to provide visibility, allow H3 leadership to understand costs and margins of providing product features to customer, and make data-driven decisions to optimize cloud spend.
You will:
  • Build spend visibility dashboards broken down by product, product feature, tenant, and team. Partner with Engineering infra and product teams to define tagging taxonomy, identify tagging gaps, and improve tagging to enable reporting. Make Cloud and AI spend billing data available in analytics and reporting tools, and with automated export to Excel / Google Sheets and finance systems.
  • Develop cloud spend forecast models that incorporate sales forecasts and product roadmap initiatives.
  • Define spend alarms based on budgets and forecasts. Drive investigations of spend incidents.
  • Build capabilities to track unit economics of the product portfolio. Partner with product feature teams to drive visibility on metrics such as cost per customer, per operation, per API request, and AI token usage rates. Work with Infra teams on classification of infrastructure and utilization metrics.

What You'll Bring (Qualifications)
  • Significant experience as a FinOps cloud spend analyst on a major cloud provider. Deep familiarity with cost and usage data and SQL based billing analysis, preferably on AWS.
  • Strong exploratory data analysis skills in SQL.
  • Ability to analyze and explore large, complex billing datasets.
  • Experienced in analysis of a cloud vendor's billing data in SQL.
  • Able to independently investigate anomalies, identify cost drivers, and answer questions on spend.
  • Experience in a FinOps role at a B2B SaaS company with a multi-tenant architecture. Familiarity with the challenge of attributing shared infrastructure costs to specific customers or product features.
  • Must have built cost reporting and dashboards for spend visibility. Experience in BI tooling such as AWS QuickSight, GCP Data Studio, Tableau, Looker, or similar.
  • Spreadsheet skills. Ability to build forecasting models in Excel/Google Sheets.
  • Experience working with Engineering on tagging and labelling and driving cost visibility into development processes.
  • Familiarity with AWS/GCP/Azure savings mechanisms - Savings Plans, Committed Use Discounts, Reserved Instances, Spot Instances, etc.
  • Able to independently spend anomaly investigations, document findings, and make well defined clear recommendations.
  • Strong communication skills. Ability to present spend findings to both Engineering and Finance leaders. Ability to translate and map between infrastructure details and business value.

Nice to Haves
  • FinOps Foundation certification (FOCP or practitioner level) or equivalent demonstrated knowledge of FinOps frameworks and lifecycle.

Perks of Horizon3
  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.
  • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.
  • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.
  • Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.
  • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.

Occasional Business Travel Required
This position is remote, but this job may require up to 5% of travel to be successful.
Compensation and Values
At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.
In accordance with various State's transparency regulations, we provide the following salary range information for this position:
  • Base salary range: $240,570 - $297,000 annually. The exact salary will be determined based on the selected candidate's location, qualifications, experience, and relevant skills.
  • Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.

You Belong Here
Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.
Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.
We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.
Application Note
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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