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Position: Multimedia Intelligence Analyst

Job in Champaign, Champaign County, Illinois, 61820, USA
Listing for: Ludus Tactical International
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Benefits
  • Competitive salary
  • Performance-based incentives
  • Professional development and certification opportunities
  • Career advancement opportunities
  • Supportive, mission-focused work environment
Job Overview

Weareseekingahighlyskilled Multimedia Intelligence Analyst  who specializes in Document and Media Exploitation (DOMEX).This analyst will analyze, interpret, and extract actionable intelligence from diverse media sources, including video, audio, and image data. This role supports mission-critical decision-making by transforming multimedia information into structured, actionable insights. The ideal candidate combines technical expertise, analytical acumen, and a rigorous approach to data assessment.

Responsibilities
  • Multimedia Analysis: Review,process,andanalyzevideofootage,audiorecordings, and imagesfromdiversesourcesforintelligencecollection.
  • Data Interpretation: Identify people,objects,locations,events,andpatternsofinterestthroughadvancedanalyticaltechniques.
  • Reporting&Documentation: Compilefindingsintoclear,actionable intelligence reports,visualsummaries,and briefings.
  • Tool Utilization: Leverage AI assisted image and video recognition tools, audio analysis software, geospatial intelligence platforms, and other specialized analytical applications.
  • Collaboration: Workcloselywithintelligenceteams,fieldoperators,andsubjectmatterexpertstoprovidetimelyinsights.
  • Trend Tracking: Monitor,detect,andinterpretemergingthreatsoranomalieswithin multimedia datasets.
  • Compliance&Security: Ensurethatallanalysisadherestorelevantlegalframeworks, privacy policies,andcybersecurityprotocols.
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Multimedia Forensics, Electrical Engineering, or related field. Advanced degrees preferred.
  • Required Experience:

    Minimum 8 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
  • Proven experience in DOMEX to include video, audio, and image analysis in an operational or research environment.
  • Strongfamiliaritywithmultimediaprocessingtechniques,includingmachinelearning-basedrecognition,signal processing,anddigitalforensics.
  • AbilitytooperateintelligencesoftwaretoolsandGISplatforms.
  • Excellentwrittenandverbalcommunicationskillsforconciseandaccuratereporting.
  • Strongattentiontodetail,critical thinking,and problem-solving capability.
  • Applicant must have and maintain a Top Secret (TS)/Sensitive Compartmented Information (SCI) with Counterintelligence (CI) Polygraph clearance.
Preferred Qualifications
  • Certification through the International Society of Forensic Computer Examiners (ISFCE) or the International Association of Computer Investigative Specialists (IACIS) is preferred.
  • Desired

    Experience:

    12+ years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
  • Desired

    Education:

    Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education;
  • -or- have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.
  • Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques.
  • ExperiencewithAIorcomputervisionframeworkse.g.,OpenCV,Tensor Flow,Py Torch
  • Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques.
  • Familiarity with geospatial intelligence (GEOINT) or open-source intelligence (OSINT) methodologies.
  • Prior military,Government,orIntelligence

    Community (IC) experienceisaplus.
Background

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