ZipRecruiter

Log In

2

Remote Metadata Jobs in Washington, DC (NOW HIRING)

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

United States (Hybrid/Remote as per project requirements) Experience: 10+ Years Employment Type ... Design metadata management and data catalog strategies * Optimize large-scale data warehouse ...

GeoSearch

Lidar Quality Analyst

Fairfax, VA · Remote

$69K - $88K/yr

Report and metadata creation and review * Supporting the creation, modification, and maintenance of ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

previous pagenext page

Showing results 21-40

All JobsMetadata JobsRemote Metadata JobsRemote Metadata Jobs in Washington, DC

Remote Metadata information

See Washington, DC salary details

$40

$76

$96

How much do remote metadata jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote metadata in Washington, DC is $76.57, according to ZipRecruiter salary data. Most workers in this role earn between $67.79 and $86.83 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Metadata jobs in Washington, DC? The most popular types of Metadata jobs in Washington, DC are:
What are popular job titles related to Remote Metadata jobs in Washington, DC? For Remote Metadata jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Metadata jobs in Washington, DC look for? The top searched job categories for Remote Metadata jobs in Washington, DC are:
Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in Washington, DC as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $159,266 per year, or $76.6 per hour.

SAR Data Scientist/Imagery Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 20 days ago

Job description

Overview

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.