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Remote Metadata Jobs in Houston, TX (NOW HIRING)

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

New

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

New

BA

Houston, TX · Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Develop and maintain data documentation including data dictionaries, metadata, data lineage, and ...

AWS and Gen AI Engineer

Houston, TX · Remote

$109K - $131K/yr

AWS Generative AI Engineer Location: 100% Remote Role: AWS GenAI Engineer - Intelligent Document ... Develop automated processes to extract tables, fields, entities, formulas, metadata, and business ...

New

Establish data validation workflows, metadata standards, and documentation practices * Perform data integrity audits and cross-validation between field observations, groundwater data, remote sensing ...

Establish data validation workflows, metadata standards, and documentation practices * Perform data integrity audits and cross-validation between field observations, groundwater data, remote sensing ...

Remote Metadata information

See Houston, TX salary details

$34

$64

$81

How much do remote metadata jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote metadata in Houston, TX is $64.56, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $73.22 per hour, depending on experience, location, and employer.

What is a remote metadata?

A Remote Metadata job involves managing, organizing, and ensuring the accuracy of metadata for digital content, databases, or other assets from a remote location. Responsibilities may include tagging, categorizing, and maintaining metadata standards to improve searchability and data integrity. These roles are common in industries like media, publishing, e-commerce, and information management. Strong attention to detail, familiarity with metadata standards, and proficiency in data management tools are often required.

What does a remote metadata do?

As a Remote Metadata Specialist, your day typically involves reviewing digital assets, assigning or updating metadata following industry standards, and collaborating with team members via virtual platforms. You may be responsible for quality-checking metadata for consistency and accuracy, troubleshooting data discrepancies, or developing new metadata taxonomies to improve searchability. Regular meetings with content creators, data managers, or IT professionals are common to align metadata practices with organizational goals. The role is often both independent and collaborative, offering a balance between focused tasks and teamwork, all within a flexible remote work environment.

What are the key skills and qualifications needed to thrive in the remote metadata position?

To excel as a Remote Metadata Specialist, you need a deep understanding of information management, data organization, and metadata standards, often backed by a degree in library science, information systems, or a related field. Familiarity with metadata management tools (e.g., DAM systems, XML, Dublin Core), database systems, and sometimes certifications such as Certified Records Manager (CRM) are highly valued. Strong attention to detail, analytical thinking, and effective virtual communication are standout soft skills for this role. These competencies are essential to ensure data is accurately structured, easily retrievable, and supports organizational objectives in a distributed work environment.

What are the most commonly searched types of Metadata jobs in Houston, TX?

The most popular types of Metadata jobs in Houston, TX are:

What job categories do people searching Remote Metadata jobs in Houston, TX look for?

The top searched job categories for Remote Metadata jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Metadata jobs?

Cities near Houston, TX with the most Remote Metadata job openings:

Infographic showing various Remote Metadata job openings in Houston, TX as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $134,289 per year, or $64.6 per hour.

Mental Health Expert - Remote

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 2 days ago

New


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.