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Remote Data Tagging Jobs (NOW HIRING)

Autodesk

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Drive adoption of automated classification, sensitivity tagging, and policy enforcement to reduce ...

New

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 ...

Tinuiti

Data Web Analytics Lead

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Tagging & QA: Assist and support both internal and external needs investigating issues, executing ...

Trulieve

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Object Tagging, and Data Classification. * Establish and maintain data governance frameworks ...

Constant Contact

Principal Data Engineer - MarTech

$143K - $178K/yr

... side tagging). * Integration & API Mastery: Strong backend integration skills with extensive ... Our hybrid work model combines the convenience of remote work with access to our great office ...

JLL

Data Collection Specialist II

Pittsburgh, PA · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

JLL

Data Collection Specialist II

Richmond, VA · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

JLL

Data Collection Specialist II

Cleveland, OH · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

JLL

Data Collection Specialist II

New Orleans, LA · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

JLL

Data Collection Specialist II

Jersey City, NJ · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ...

JLL

Data Collection Specialist II

Tampa, FL · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Remote Data Tagging information

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$55K

$99.2K

$135.5K

How much do remote data tagging jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote data tagging in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
More about Remote Data Tagging jobs
What cities are hiring for Remote Data Tagging jobs? Cities with the most Remote Data Tagging job openings:
What are the most commonly searched types of Data Tagging jobs? The most popular types of Data Tagging jobs are:
What states have the most Remote Data Tagging jobs? States with the most job openings for Remote Data Tagging jobs include:
What job categories do people searching Remote Data Tagging jobs look for? The top searched job categories for Remote Data Tagging jobs are:
Remote Data Tagging jobs near you
Infographic showing various Remote Data Tagging job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Director, Enterprise Data Management & Governance

Director, Enterprise Data Management & Governance

Pluralsight LLC

Remote

Full-time

Medical, PTO

Posted 12 days ago

Job description

Job Description:
The Director, Data Management and Governance owns the company-wide standards, controls, and accountability that make Pluralsight's data trustworthy. This leader sets and enforces data governance policy across the data org (Data Engineering and Analytics Engineering), the upstream teams that produce data, and the external SaaS vendor data owners (e.g., Salesforce) the company depends on - including data contracts enforced as a gate before data is ingested. This is a hands-on, player-coach role: the right leader sets policy and grows the team, but also profiles data, writes the queries, and drafts the contracts themselves. They are also a fluent, productive user of AI in their own day-to-day work, both to accelerate the governance practice and to model the AI-augmented way of working they are asking the team to adopt.
What you'll do:
  • Set, own, and enforce company-wide data governance policy and standards spanning the data org (Data Engineering and Analytics Engineering), upstream data producers, and external SaaS vendor data owners (e.g., Salesforce) - the standards, controls, and accountability that keep data consistent and trustworthy at the source.
  • Establish and enforce data contracts as a gate before ingestion - defining producer obligations for schema, semantics, quality, and change notification.
  • Own the schema-registration and versioned change-control process.
  • Drive the principle of centralizing data transformation logic in the data org's data model layer.
  • Lead PII governance end to end - identifying, classifying, tagging, and masking sensitive data, and setting the role-based access controls (RBAC).
  • Establish data-quality standards, measurement, and monitoring - defining the metrics, making data health visible.
  • Own master data management for core enterprise entities - accounts, contacts and de-duplication, and similar - as the authoritative, reconciled source of truth.
  • Lead, develop, and grow the data governance and data quality team, setting priorities and standards while sustaining day-to-day data-quality operations without interruption.
  • Stay hands-on in the work: profile and investigate data directly, write the queries, draft and review the data contracts and policy, and take direct ownership of the hardest data-quality and data-ownership problems.
  • Use AI productively in day-to-day governance work - accelerating data-quality investigation, policy and contract drafting and review, and data profiling - and set the example for AI-augmented working across the team.

Experience you'll bring:
  • Familiarity with the modern data stack this function governs (e.g., Snowflake, dbt) and with major SaaS sources such as Salesforce, Zuora, and Workday.
  • Experience standing up PII/RBAC controls as a prerequisite for enterprise AI enablement.
  • Experience governing data across a SaaS-heavy enterprise landscape with multiple external data owners.

Requirements:
  • Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.
  • Expertise in data management and governance - data contracts, metadata management, master data management, data quality, and policy - with the ability to tie standards and controls to business value and to customer trust.
  • Demonstrated ability to set and enforce company-wide standards and negotiate data ownership across internal engineering teams, upstream data producers, and external SaaS vendor owners.
  • Experience implementing data contracts and a schema/version registry as an enforced, pre-ingestion control.
  • Current, hands-on technical depth - able to profile data, write and review SQL personally, and author and assess data contracts and schemas.
  • Demonstrated, productive use of AI in day-to-day data work - using AI tools fluently to accelerate investigation, documentation, and analysis, with the judgment to do so safely on governed data.
  • Strong grasp of PII classification, masking, and role-based access control, particularly as prerequisites for safe AI access to data.
  • Experience leading data management and governance programs in the context of larger business and digital transformations.
  • Ability to communicate standards, metrics, and trade-offs clearly to senior leaders and to technical and business teams alike.
  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:
  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.
  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.
  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.
  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.
  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:
Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.
Physical Requirements:
This role is primarily performed in an office or home office setting and involves standard computer-based work.
EEOC & Accommodations Statement:
Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.
If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.
Pay Transparency:
The annual US base salary range for this role is $167,200- $220,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.
Applications must be submitted within 90 days after the initial posting date to be considered.
Recruiting Scam Notice:
Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.
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