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Metadata Internship Remote information

What are the key skills and qualifications needed to thrive as a Metadata Internship Remote, and why are they important?

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 does a typical day look like for a remote metadata intern, and how do they collaborate with team members?

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 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 is the difference between Metadata Internship Remote vs Data Analyst Intern Remote?

AspectMetadata Internship RemoteData Analyst Intern Remote
Required CredentialsBasic knowledge of metadata, digital asset management, or library sciences; often pursuing related degreesBasic understanding of data analysis, statistics, and tools like Excel or SQL; often pursuing related degrees
Work EnvironmentRemote, often in tech, media, or library sectorsRemote, in various industries including finance, marketing, or tech
Employer & Industry UsageUsed by digital libraries, media companies, and tech firms for managing digital assetsUsed 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.

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Metadata Internship Remote jobs near you
Infographic showing various Metadata Internship Remote job openings in Washington as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Fraud Analyst

Fraud Analyst

Recorded Future

Washington, DC • Remote

$78.50K - $117.50K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. We are looking for a Fraud Analyst to join our Threat Intelligence team! 

What You'll Do:
  • Conduct research on emerging cyber threats, adversary activity, and global threat trends
  • Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
  • Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
  • Monitor and assess Chinese-language sources to identify relevant threat activity and insights
  • Contribute to the production of high-quality intelligence reporting for internal and external stakeholders
  • Assist in identifying and developing indicators and detection opportunities
  • Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
  • Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft
What You'll Bring:
  • BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security Studies, or a related field
  • 1-2 years of experience in Threat Intelligence, Cybersecurity, or a related discipline (including internships or academic research)
  • Foundational understanding of cyber threat analysis and intelligence methodologies
  • Basic knowledge of networking concepts, including TCP/IP, DNS, and internet infrastructure
  • Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata
  • Familiarity with OSINT collection and analysis techniques
  • Exposure to common CTI tools and workflows (e.g., Jupyter Notebook, Maltego, Elastic Stack, or similar platforms)
  • Understanding of structured analytic techniques and frameworks such as MITRE ATT&CK, the Cyber Kill Chain, or the Diamond Model
  • Strong analytical, problem-solving, and critical thinking skills
  • Effective written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
  • Ability to work collaboratively in a fast-paced, globally distributed team environment

Required:

  • Professional working proficiency in Chinese, with the ability to read, analyze, and synthesize native-language sources
Preferred Qualifications:
  • Experience analyzing financially motivated cyber activity, including phishing, scams, or account compromise
  • Basic scripting or programming experience (Python preferred) for data analysis or task automation
  • Familiarity with underground ecosystems such as forums, marketplaces, or messaging platforms (e.g., Telegram)
  • Understanding of payment systems, cryptocurrency usage, or fraud-related typologies
  • Experience working with threat intelligence datasets or large-scale data analysis
  • Exposure to detection development or identifying indicators of malicious or suspicious activity
  • Working knowledge of Russian is a plus

The base salary range for this full-time position is $78,500-$117,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

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