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Remote Cognitive Science Intern Jobs in Virginia

Berkley

Semester Underwriting Intern

Glen Allen, VA · On-site +1

Hybrid or remote (depending on business needs) * Fast-paced, innovation-focused team Education ... Computer Science, Data Science, Engineering, Information Systems, or related field Technical Skills

Berkley

Semester Underwriting Intern

Glen Allen, VA · On-site +1

Hybrid or remote (depending on business needs) * Fast-paced, innovation-focused team Qualifications ... Computer Science, Data Science, Engineering, Information Systems, or related field Technical Skills

Deltek, Inc.

Intern - Undergraduate

Herndon, VA · Remote

$16 - $17/hr

01-May-2026 QA Automation Intern US (Remote) 10936BR Company Summary As the recognized global ... Pursuing Bachelor's degree in Computer Science, IT, or related fields. * Skilled in automation ...

ATPCO

Cloud Engineer Intern

Herndon, VA · Remote

$17.25 - $22.25/hr

Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ... Currently pursuing a degree in Computer Science, IT, Data Science, or a related field * Familiarity ...

Deltek, Inc.

Intern - Undergraduate

Herndon, VA · Remote

$16 - $17/hr

01-May-2026 SRE & Supportability Operations Analyst - Intern US (Remote) 10945BR Company Summary As ... Currently pursuing or recently completed a degree in Computer Science, Information Technology ...

ATPCO

Platform Engineer Intern - Hybrid

Herndon, VA · On-site +1

... Remote-First Culture - Flexibility to work from home in your country of hire​ ✅ Inclusive ... The Ideal Candidate: * Currently pursuing a Bachelor's / Master's degree in Computer Science ...

ATPCO

Platform Engineer Intern - Hybrid

Herndon, VA · On-site +1

Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ... The Ideal Candidate: * Currently pursuing a Bachelor's / Master's degree in Computer Science ...

Sentara Healthcare

Care Coordinator

Norfolk, VA · On-site +1

$18.75 - $25.25/hr

This position is remote work from home with travel to Nursing facilities required. Hours of ... Cognitive Sciences -Community Mental Health Counseling (MH, Vocational, Pastoral, etc.) -Counselor ...

Draper Labs

Market Intelligence Intern

Reston, VA · On-site +1

$20 - $45/hr

Our multidisciplinary teams of engineers and scientists work in a collaborative environment that ... This position can be partially hybrid remote, however being in the office, when appropriate, is an ...

New

Draper

Market Intelligence Intern

Reston, VA · On-site +1

$20 - $45/hr

Our multidisciplinary teams of engineers and scientists work in a collaborative environment that ... This position can be partially hybrid remote, however being in the office, when appropriate, is an ...

Sentara Healthcare

Care Coordinator

Williamsburg, VA · On-site +1

$18.50 - $25/hr

... remote telephonic assessments for members with Serious Mental Illnesses, Serious Emotional ... Cognitive Sciences -Community Mental Health Counseling (MH, Vocational, Pastoral, etc.) -Counselor ...

Sentara Healthcare

Care Coordinator

Alexandria, VA · On-site +1

$20.50 - $27.75/hr

... remote telephonic assessments for members with Serious Mental Illnesses, Serious Emotional ... Cognitive Sciences -Community Mental Health Counseling (MH, Vocational, Pastoral, etc.) -Counselor ...

Sentara Healthcare

Care Coordinator

Virginia Beach, VA · On-site +1

$18.25 - $24.75/hr

... Cognitive Sciences -Community Mental Health Counseling (MH, Vocational, Pastoral, etc.) -Counselor ... For positions that are available as remote work, Sentara Health employs associates in the following ...

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Remote Cognitive Science Intern information

What are the key skills and qualifications needed to thrive as a Remote Cognitive Science Intern, and why are they important?

To thrive as a Remote Cognitive Science Intern, you typically need a foundational understanding of cognitive science principles, strong research skills, and enrollment in or completion of a relevant academic program. Familiarity with data analysis software (such as Python, R, or SPSS), literature review tools, and remote collaboration platforms is often required. Strong written communication, self-motivation, and adaptability are critical soft skills for excelling in a virtual research environment. These skills ensure interns can contribute effectively to research projects, communicate findings clearly, and remain productive while working independently.

What are some common challenges faced by remote cognitive science interns and how can they be overcome?

Remote cognitive science interns often encounter challenges such as coordinating with team members across different time zones, staying motivated without in-person supervision, and accessing proprietary research tools or datasets remotely. To address these, successful interns proactively schedule regular check-ins with mentors, utilize project management tools for collaboration, and make use of secure remote access solutions provided by their organization. Building a structured daily routine and actively participating in virtual meetings can also help foster engagement and professional growth.

What is a Remote Cognitive Science Intern?

A Remote Cognitive Science Intern is a student or recent graduate who works virtually with a research team or company to assist in projects related to cognitive science. This interdisciplinary field studies how people think, learn, remember, and perceive, often combining psychology, neuroscience, computer science, and linguistics. As a remote intern, you may analyze data, review research literature, assist in experiments, or even help develop software tools, all from a remote location. This opportunity allows you to gain valuable experience and skills in cognitive science without needing to be physically present at an office or lab.

What is the difference between Remote Cognitive Science Intern vs Data Analyst Intern?

AspectRemote Cognitive Science InternData Analyst Intern
Required CredentialsRelevant coursework in cognitive science, psychology, or neuroscience; basic programming skillsStatistics, data analysis, or related coursework; proficiency in Excel, SQL, or Python
Work EnvironmentRemote, research-focused projects, interdisciplinary teamsRemote or in-office, data-driven projects, collaboration with data teams
Industry UsageResearch institutions, tech companies, healthcareTech firms, finance, marketing, healthcare
Common Search/ComparisonYesNo

The Remote Cognitive Science Intern typically focuses on research and understanding human cognition, often requiring knowledge of psychology and neuroscience. In contrast, a Data Analyst Intern concentrates on analyzing data sets to derive insights, requiring skills in statistics and data tools. While both roles may be remote and involve collaboration, their core responsibilities and required skills differ significantly.

What are popular job titles related to Remote Cognitive Science Intern jobs in Virginia? For Remote Cognitive Science Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Cognitive Science Intern jobs in Virginia look for? The top searched job categories for Remote Cognitive Science Intern jobs in Virginia are:
What cities in Virginia are hiring for Remote Cognitive Science Intern jobs? Cities in Virginia with the most Remote Cognitive Science Intern job openings:
Remote Cognitive Science Intern jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 14 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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