Strong background in data science WITH experience in at least one of the following: remote sensing ... Identify potential differences in metadata, data format, and data structure characteristics ...
Quick apply
Strong background in data science WITH experience in at least one of the following: remote sensing ... Identify potential differences in metadata, data format, and data structure characteristics ...
Fraud Analyst
Washington, DC · Remote
$78K - $117K/yr
... internships or academic research) * Foundational understanding of cyber threat analysis and ... Remote
Fraud Analyst
Washington, DC · Remote
$78K - $117K/yr
... internships or academic research) * Foundational understanding of cyber threat analysis and ... Remote
Metadata Internship Remote information
See Gaithersburg, MD salary details
$9.35 - $10.65
2% of jobs
$10.65 - $11.95
4% of jobs
$11.95 - $13.25
14% of jobs
$13.75 is the 25th percentile. Wages below this are outliers.
$13.25 - $14.54
12% of jobs
$14.54 - $15.84
15% of jobs
The median wage is $16.03 / hr.
$15.84 - $17.14
18% of jobs
$18.40 is the 75th percentile. Wages above this are outliers.
$17.14 - $18.44
10% of jobs
$18.44 - $19.74
6% of jobs
$19.74 - $21.04
8% of jobs
$21.04 - $22.34
5% of jobs
$22.34 - $23.63
5% of jobs
$9
$16
$23
How much do metadata internship remote jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for metadata internship remote in Gaithersburg, MD is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.94 per hour, depending on experience, location, and employer.
What is the difference between Metadata Internship Remote vs Data Analyst Intern Remote?
| Aspect | Metadata Internship Remote | Data Analyst Intern Remote |
|---|---|---|
| Required Credentials | Basic knowledge of metadata, digital asset management, or library sciences; often pursuing related degrees | Basic understanding of data analysis, statistics, and tools like Excel or SQL; often pursuing related degrees |
| Work Environment | Remote, often in tech, media, or library sectors | Remote, in various industries including finance, marketing, or tech |
| Employer & Industry Usage | Used by digital libraries, media companies, and tech firms for managing digital assets | Used by companies needing data insights, including tech, finance, and marketing firms |
While both roles are remote internships in the digital and data fields, Metadata Internship Remote focuses on managing digital assets and metadata standards, whereas Data Analyst Intern Remote emphasizes analyzing data to generate insights. The skills and industry applications differ, but both roles serve as entry points into tech and data-driven careers.
What skills and qualifications are needed for a metadata internship remote?
To thrive as a Metadata Intern in a remote setting, you typically need a background in information science, library science, or a related field, with attention to detail and data management skills. Familiarity with metadata standards (such as Dublin Core or MARC), content management systems, and spreadsheet tools like Excel is often required. Strong communication, time management, and self-motivation are crucial soft skills for effective collaboration and productivity in a remote environment. These skills and qualifications ensure accurate organization, efficient information retrieval, and seamless teamwork despite the challenges of working remotely.
What is a metadata internship remote?
A Metadata Internship Remote is an internship position that focuses on the organization, categorization, and management of metadata for digital assets, and is completed remotely rather than in an office. Interns in this role typically work with metadata standards, assist with data entry, support digital asset management systems, and ensure that content is accurately described and easy to find. This experience helps students or recent graduates gain practical skills in data management, information science, and digital archiving, all while working from home. Remote metadata internships are common in industries such as media, libraries, archives, and technology companies.
What does a metadata intern do?
As a remote metadata intern, your day often involves reviewing and organizing data sets, tagging digital assets, and ensuring metadata accuracy across platforms. While much of the work is independent, you’ll regularly communicate with team members through virtual meetings, email, and project management tools to align on priorities and resolve any issues. Collaboration with content managers, IT specialists, and other interns is common to maintain consistency and adhere to industry standards. You'll also participate in training sessions and may have opportunities to contribute to process improvements, making this role both detail-oriented and collaborative.
What job categories do people searching Metadata Internship Remote jobs in Gaithersburg, MD look for?
The top searched job categories for Metadata Internship Remote jobs in Gaithersburg, MD are:
What cities near Gaithersburg, MD are hiring for Metadata Internship Remote jobs?
Cities near Gaithersburg, MD with the most Metadata Internship Remote job openings:
Tango Sierra-Bravo - Electro‑Optical (EO) Imagery Data Scientist
Arlington, VA • On-site, Remote
Full-time
Posted 4 days ago
Job description
Join a R&D program that is focused on using Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, particularly Computer Vision, applied to Intelligence, Surveillance, and Reconnaissance (ISR) sensors and platforms for object detection, object tracking, object classification, and pattern detection. The program is involved in developing, testing, fielding, and integrating Computer Vision models for geospatial data. Your job will be to process and condition the geospatial data, and to format it to specific standards so that it can be used for AI solution development. The background that we are looking for is twofold - Data Science experience and deep experience with EO imagery (electro-optical). You will get to join a highly functioning team to develop cutting edge solutions for complex problems.
Requirements:- Strong background in data science WITH experience in at least one of the following: remote sensing, image processing, or image science
- At least 4 years of experience with EO imagery…an understanding of collection, phenomenology, image formation process, and exploitation products
- Background with electromagnetic spectrum (e.g., electro-optical) exploitation to detect occurrence and location of objects
- Ability to develop, test, and evaluate new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis.
- Communication skills that allow you to engage with a variety of technical and non-technical audiences on availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
- Strong understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
- TS/SCI with CI Poly (we can pipeline your poly if you don’t already have it, but you must be willing to take the exam)
- 13 years of relevant experience and a Master’s degree
- (substitutions are allowed for different types of degrees, and many things can be applied towards experience – e.g., internships, certifications, professional publications, etc. )
- Obtain new data and identify potential latency associated with acquisition, data formats, and security domains
- Pre-process and standardize data to match existing data standards or transform into a usable state for labeling and model testing purposes
- Interact with SAR Imagery Scientists to provide coincident EO imagery
- Identify potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
- Identify potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL-related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
- Determine if there are gaps in the newly obtained GEOINT or sensor data that may need to be supplemented by other sources
- Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems
- Occasional travel may be required outside of the DC area to support events or exercises
- Local travel may be required to attend meetings at government facilities
- Surge support may be needed at times to support crisis situations
- Work is located at CTR facility
- Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from 0900-1500 EST and team members should do their best to be reachable during those core hours