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Remote Data Tagging Jobs (NOW HIRING)

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... Develop and enforce data tagging frameworks to classify, label, and annotate datasets with ...

Technomics

Cyber Risk Analyst SME

Arlington, VA · On-site +1

This role involves conducting on-site and remote cyber risk assessments, developing mitigation ... Implement data tagging and structured knowledge capture to enable proactive risk identification ...

Sentara

Data Engineer - Remote

Virginia Beach, VA · Remote

$108.70K - $130.50K/yr

Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho ... Contribute to data governance practices including tagging, metadata, and lineage * Troubleshoot and ...

Experian

Senior Marketing Data Architect - Remote

$100.65K - $174.46K/yr

Provide guidance on best practices for data governance, privacy, and tagging architecture ... Familiarity with AEP and CJA * #LI-Remote Additional Information Benefits/Perks * Great ...

Job Duck LLC

V104- Customer Success Representative

Perform data tagging and maintain organized tracking systems * Enter and update customer records ... Remote • Schedule: Rotating schedule across a 4-week cycle, including weekday and weekend shifts ...

Job Duck LLC

V104- Customer Success Representative II

$16.50 - $22.25/hr

Perform data tagging and maintain organized tracking systems * Support operational teams remotely ... Remote • Schedule: Rotating schedule across a 4-week cycle, including weekday and weekend shifts ...

Experian

$62.25 - $83.25/hr

Provide guidance on best practices for data governance, privacy, and tagging architecture ... Familiarity with AEP and CJA * #LI-Remote Additional Information Benefits/Perks * Great ...

Indivisible Project

Mobilization Data Manager

$67.65K - $92K/yr

Execute routine data hygiene audits (de-duping, standardizing tagging), manage user permissions ... Remote Work: Ability to work effectively in a remote environment. Qualifications: * Background in ...

Data Ideology

AWS Platform Architect

Pittsburgh, PA · Remote

$66.25 - $87/hr

... tagging and architectural efficiency. Work Environment: * Remote work from home. * Hours of work ... Data Ideology is an EEO Employer Powered by JazzHR WEjJ6OYwA8

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All JobsRemote Data Tagging Jobs

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 Jun 1, 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 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.

What jobs make $3,000 a month without a degree?

Remote data tagging jobs can pay around $3,000 per month for individuals who have strong attention to detail and basic computer skills. These roles often require minimal formal education, rely on online platforms, and may involve flexible schedules, making them accessible for those without a degree.

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.

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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • On-site, Remote

$111.30K - $133.70K/yr

Other

Posted 23 days ago

Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.

Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
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About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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