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Ai Data Labeling Jobs in Decatur, GA (NOW HIRING)

... for agentic AI interactions with enterprise data. The ideal candidate brings strong people ... Own data labeling policy and governance, including label taxonomy, usage standards, enforcement ...

... for agentic AI interactions with enterprise data. The ideal candidate brings strong people ... Own data labeling policy and governance, including label taxonomy, usage standards, enforcement ...

... for agentic AI interactions with enterprise data. The ideal candidate brings strong people ... Own data labeling policy and governance, including label taxonomy, usage standards, enforcement ...

Data Protection Sr. Analyst

Atlanta, GA · Hybrid

$84.80K - $100.70K/yr

Familiarity with Copilot/AI data risk considerations and emerging security controls. * Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Data Protection Manager

Atlanta, GA · On-site +1

$150.40K - $178.60K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117.90K - $155.40K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117.80K - $155.30K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

AI Red Team Lead Engineer

Atlanta, GA · On-site

$98.60K - $129.80K/yr

Data ingestion, labeling, and governance controls * Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt ...

Cyber Data Protection Manager

Atlanta, GA · Remote

$106.70K - $144.20K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Atlanta, GA · Remote

$106.70K - $144.20K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

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Ai Data Labeling information

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.
What are the most commonly searched types of Ai Data Labeling jobs in Decatur, GA? The most popular types of Ai Data Labeling jobs in Decatur, GA are:
What are popular job titles related to Ai Data Labeling jobs in Decatur, GA? For Ai Data Labeling jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Decatur, GA look for? The top searched job categories for Ai Data Labeling jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Ai Data Labeling jobs? Cities near Decatur, GA with the most Ai Data Labeling job openings:
Infographic showing various Ai Data Labeling job openings in Decatur, GA as of May 2026, with employment types broken down into 6% Internship, 67% Full Time, 18% Part Time, 3% Temporary, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution.
Manager, Data Security

Manager, Data Security

Southern Company

Atlanta, GA • Hybrid

Full-time

Medical, Retirement

Posted 12 days ago


Southern Company rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Sr. Manager, Data Security Program  

Schedule: M-F (onsite 4 days/week)

Location: Atlanta or Birmingham 

Position Summary:

Southern Company is seeking an experienced cybersecurity leader to own and drive the enterprise Data Security Program across multiple disciplines and functions. This role is responsible for endtoend leadership, execution, and evolution of data protection capabilities, ensuring sensitive data is identified, classified, governed, monitored, and protected across onpremises, cloud, SaaS, and hybrid environments.

This position directly supports Southern Company's mission to mitigate real and potential cyber risks to its critical electric and gas utility infrastructure, operational technology environments, enterprise IT systems, personnel, customers, and brand. Positioned between executive strategy and technical execution, this role drives largescale, crossfunctional data security initiatives that reduce risk while enabling secure and efficient business operations.

The Senior Manager will lead a multidiscipline team responsible for enterprisewide data security, including encryption strategy (data at rest and in transit, databases, cloud, and onprem), Data Loss Prevention (DLP), Data Security Posture Management (DSPM), data discovery and classification, data labeling governance, and data misuse detection and response. A significant component of this role is forwardlooking cryptographic strategy, including planning, preparing, and executing the company's transition to postquantum cryptography (PQC), defining both pre and postquantum approaches in partnership with enterprise stakeholders.

This leader owns daytoday operational accountability for data security tooling and controls, including policy design, deployment, tuning, alert monitoring and response, and lifecycle management (upgrades, patching, and change management). The role also serves as a trusted advisor to business and technology leaders, shaping data protection strategy, enabling secure innovation, and preparing the enterprise for data management and protection in the age of AI, including policy and guardrails for agentic AI interactions with enterprise data.

The ideal candidate brings strong people leadership, deep data security and cryptography expertise, and the ability to influence across a complex enterprise. This role requires a proven track record of building sustainable, multidiscipline security programs and delivering measurable risk reduction in highly regulated, missioncritical environments.

Job Responsibilities:

  • Provide leadership focused on building, mentoring, and developing a highperforming, multidiscipline data security team spanning governance, engineering, operations, and consulting functions.
  • Own and execute the enterprise Data Security Program strategy and roadmap, aligning outcomes with business priorities, regulatory requirements, and evolving technologies.
  • Translate strategic objectives into actionable operating models, execution plans, and measurable KPIs across multiple functional domains.
  • Lead enterprise efforts to identify, define, and govern sensitive data, including development and adoption of data classification and labeling standards.
  • Own data labeling policy and governance, including label taxonomy, usage standards, enforcement expectations, and adoption improvement.
  • Oversee deployment and ongoing operations of Data Loss Prevention (DLP) capabilities across email, endpoints, SaaS, cloud services, and data repositories.
  • Define and manage DLP policies, detection rules, and enforcement actions (e.g., block, quarantine, encrypt, alert), balancing risk reduction with business usability and driving continuous tuning and improvement.
  • Mature the evolution and operational use of Data Security Posture Management (DSPM) to maintain visibility into sensitive data locations, access pathways, and exposure risks.
  • Monitor, triage, investigate, and respond to DLP and DSPM alerts and findings in partnership with Security Operations, Incident Response, Insider Threat, Identity, and related teams.
  • Drive remediation of data security risks, including overpermissive access, unprotected or misclassified data, and highrisk data movement.
  • Define and execute an enterprise encryption strategy for sensitive data at rest and in transit, including databases, storage platforms, and key management alignment.
  • Own the enterprise cryptographic transition strategy for postquantum readiness, including assessment of cryptographic dependencies, prioritization of critical data and systems, phased adoption planning, and execution of pre and postquantum approaches.
  • Establish policy, governance, and guardrails for protecting enterprise data while enabling AI adoption, including secure patterns for agentic AI access to and interaction with sensitive data.
  • Provide operational ownership of data security tooling, including upgrades, tuning, patching, integrations, and change management.
  • Establish program metrics, dashboards, and executive reporting to track data security posture, operational performance, cryptographic readiness, and program maturity.
  • Serve as a trusted advisor and consultant to business and technology teams on data protection strategy, patterns, and execution.
  • Build and maintain strong partnerships with Technology, Legal, Privacy, Compliance, Security Operations, Insider Threat teams, and enterprise governance bodies including Cloud COE, AI COE, and related groups.
  • Foster a culture of accountability, collaboration, innovation, and continuous improvement across the data security program.

Requirements and qualifications:

Minimum

  • Proven experience leading enterprisescale data security programs across multiple disciplines with measurable risk reduction outcomes.
  • 8+ years of experience in cybersecurity, with 3+ years in a leadership or program management role.
  • Demonstrated experience building or operating data security capabilities including data discovery, classification, labeling, and DLP.
  • Strong understanding of data protection across onprem, cloud, SaaS, and endpoint environments, including data at rest and data in transit.
  • Experience defining and executing encryption strategies, including databases and key management.
  • Experience leading crossfunctional initiatives and influencing without direct authority.
  • Strong communication skills with the ability to translate technical risk into business context.
  • Experience working in regulated or highly controlled environments.
  • Ability to mentor and develop security professionals across multiple functions.
  • Must pass NERC CIP & Insider Threat Protection background checks.

Preferred Qualifications

  • Experience deploying or operating Data Security Posture Management (DSPM) solutions.
  • Handson experience with data security tools such as DLP, data discovery/classification platforms, CASB, or cloud security tools.
  • Familiarity with Zero Trust data security concepts and datacentric risk models.
  • Experience integrating data security signals into SIEM/SOAR platforms.
  • Experience defining data protection policy and guardrails for AI and agentic AI use cases.
  • Exposure to postquantum cryptography (PQC) readiness, cryptographic agility planning, or longterm encryption strategy.
  • Industry certifications such as CISSP, CISM, CCSP, GIAC, or similar.
  • Experience supporting or securing critical infrastructure environments.

This position falls under the company's Insider Threat Program and will have access to, and control over sensitive data, systems or assets. Enhanced personnel screening, which includes a background review, drug screen and psychological assessment, will be required if you are selected for this position 

About Southern Company

Southern Company (NYSE: SO) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com. 


Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf. Additional and specific details about total compensation and benets will also be provided during the hiring process.


Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

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