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Metadata Jobs in Sandy Springs, GA (NOW HIRING)

YO AI Labs

Mental Health Expert - Remote

Atlanta, GA · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

UCB

Principal Data Governance Architect

Atlanta, GA · Hybrid

Architect and steer the US Data Governance Roadmap for metadata management UCB's data strategy by proactively identifying critical data gaps, evaluating potential solutions, and aligning cross ...

UCB

Principal Data Governance Architect

Atlanta, GA · On-site

Architect and steer the US Data Governance Roadmap for metadata management UCB's data strategy by proactively identifying critical data gaps, evaluating potential solutions, and aligning cross ...

AEG

Senior Manager, Creative Systems

Atlanta, GA · On-site

Define and enforce metadata standards, taxonomy frameworks, and naming conventions, utilizing Generative AI for automated metadata tagging and search optimization. * Manage the full asset lifecycle ...

Federal Reserve Bank of Richmond

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Develop metadata schemas supporting dataset discoverability, lineage, and governance. * Standardize dataset structures and metadata across multiple platforms. * Implement scalable data processing ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Kion Group AG

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

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Showing results 21-40

All JobsMetadata JobsMetadata Jobs in Sandy Springs, GA

Metadata information

See Sandy Springs, GA salary details

$8

$15

$28

How much do metadata jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for metadata in Sandy Springs, GA is $15.62, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $17.40 per hour, depending on experience, location, and employer.

What is a metadata specialist?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are the key skills and qualifications needed to thrive as a metadata specialist?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What does a metadata assistant do?

A metadata assistant supports the management and organization of digital information by creating, editing, and maintaining metadata records. They often use tools like content management systems and follow standards such as Dublin Core or MARC to ensure data is accurately described and easily retrievable. Attention to detail and familiarity with data standards are important for this role.

What is a metadata job?

A metadata job involves managing, organizing, and maintaining metadata, which is data that describes other data, to improve data accessibility and usability. Roles often require knowledge of data management tools, standards, and sometimes programming skills to ensure accurate data classification and retrieval.

What cities near Sandy Springs, GA are hiring for Metadata jobs?

Cities near Sandy Springs, GA with the most Metadata job openings:

Metadata jobs near you
Infographic showing various Metadata job openings in Sandy Springs, GA as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $32,496 per year, or $15.6 per hour.

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Atlanta, GA • Remote

$200 - $350/hr

Full-time

Posted 10 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.