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Remote Data Tagging Jobs in Georgia (NOW HIRING)

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Define and govern data classification, tagging, and lineage-aware security policies across ...

... data masking, rowlevel security, object tagging, audit logging, and policyascode * Embed ... Advanced Terraform expertise, including reusable module design, remote state management, provider ...

Lead Snowflake Platform Engineer

Atlanta, GA · Remote

$98K - $129K/yr

... data masking, rowlevel security, object tagging, audit logging, and policyascode * Embed ... Advanced Terraform expertise, including reusable module design, remote state management, provider ...

Senior Manager, Content Strategy

Atlanta, GA · On-site +1

$152K - $191K/yr

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... Familiarity with digital asset management systems and metadata/tagging for AI agent enablement

Remote Data Tagging information

How to make $1000 a week remote?

Remote data tagging jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the platform used. To make $1000 a week, you need to complete a high volume of accurate tags consistently, often requiring strong attention to detail and familiarity with data annotation tools. Building a steady workflow and working full-time hours can help achieve this income level.

How to make 2000 a week working from home?

Remote data tagging jobs can offer part-time or full-time opportunities that, with consistent effort and high productivity, can contribute toward earning $2000 weekly. Achieving this income typically requires working multiple hours daily, developing strong attention to detail, and using data annotation tools efficiently. Building experience and increasing your workload can help reach higher earnings in this field.

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 job makes $10,000 a month without a degree?

Remote data tagging jobs can pay up to $10,000 per month for experienced workers, especially those working full-time or handling large volumes of data. These roles typically require strong attention to detail, familiarity with data annotation tools, and consistent productivity, but they often do not require formal degrees.

What is the salary of data tagging?

The salary for remote data tagging positions typically ranges from $10 to $20 per hour, depending on experience, the company, and the complexity of the tasks. Many roles are paid on an hourly basis, and some may offer project-based or part-time compensation. Skills in data annotation tools and attention to detail can influence pay rates.

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.
What cities in Georgia are hiring for Remote Data Tagging jobs? Cities in Georgia with the most Remote Data Tagging job openings:
Senior Data Security Architect

Senior Data Security Architect

MCKESSON

Atlanta, GA • On-site, Remote

Full-time

Posted 3 days ago


McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

41st of 71 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

CoverMyMeds Technology is seeking a Senior Data Security Architect to join our Data & Analytics organization. This is a highly specialized role responsible for defining, implementing, and governing enterprise-wide data security architecture across cloud and hybrid data platforms. You will serve as the security authority across the data lifecycle — ensuring that sensitive healthcare data is protected, compliant, and audit-ready while enabling scalable analytics and external data sharing. This role directly supports mission-critical healthcare operations where security, privacy, and trust are foundational.

* Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.

What You'll Do:

  • Own and evolve enterprise data security architecture across Databricks, Azure Data Lake, and enterprise reporting platforms

  • Design and enforce fine-grained data access controls (RBAC, ABAC, row/column-level security) using Unity Catalog and governed tagging frameworks

  • Architect identity and access management (IAM) patterns integrating Okta, Microsoft Entra ID, SailPoint, and privileged access platforms

  • Define and implement PHI/PII protection strategies, including tokenization, encryption, de-identification, and masking across environments

  • Establish secure data sharing and multi-tenant access models for external customers, partners, and embedded analytics

  • Lead architecture for data rights, entitlements, and consent-based access controls, ensuring compliance with contractual and regulatory requirements

  • Build and operationalize security controls aligned to SOX ITGC, including logical access controls, change management, and audit evidence frameworks 

  • Design audit-ready security architectures supporting HIPAA, SOC 2 Type II, and FedRAMP compliance requirements 

  • Partner with engineering, SRE, and platform teams to embed security into CI/CD pipelines, platform onboarding, and development standards

  • Define and govern data classification, tagging, and lineage-aware security policies across medallion architectures

  • Evaluate and recommend enterprise security tooling and governance platforms

  • Produce architecture artifacts (decision records, control matrices, audit evidence) consumable by internal and external auditors

Basic Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience, and typically requires 7+ years of relevant experience in data security, cybersecurity, or data architecturewith significant focus in cloud-based environments

  • Proven experience implementing data security and governance controls in regulated environments (HIPAA, healthcare strongly preferred)

  • Strong expertise in SOX IT General Controls (ITGC) domains, including logical access, change management, and audit controls

  • Hands-on experience with Databricks Unity Catalog security models, including RBAC, ABAC, and data masking

  • Deep knowledge of Azure cloud security architecture, including networking, identity, and secrets management

  • Experience designing identity and access management solutions (Okta, Entra ID, SailPoint, privileged access tools)

  • Demonstrated experience implementing encryption, tokenization, and de-identification strategies for sensitive data

  • Experience designing secure data architectures for external/customer-facing analytics products

  • Ability to translate regulatory requirements into implemented technical controls and audit artifacts

  • Strong communication skills with ability to present architecture concepts to technical, business, and audit stakeholders

Preferred Skills / Experience:

  • Experience supporting SOC 2 Type II and/or FedRAMP compliance programs

  • Knowledge of healthcare data sharing frameworks and consent models

  • Experience designing data entitlement models and purpose-based access controls at scale

  • Familiarity with FHIR-based data platforms and interoperability security

  • Experience with DSPM/CSPM tools for cloud data security

  • Experience implementing non-production data masking and synthetic data solutions

  • Exposure to CI/CD security architecture and service principal hardening

  • Experience operating in large, matrixed enterprise governance environments

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$124,100 - $206,900

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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