Air Traffic Control Intern at Dynamic Service Solutions

Oxon Hill, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

2000.0

Posted On

05 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Aviation safety, Air traffic control, AI research, Data labeling, Technical writing, Problem solving, Analytical thinking, Human factors, Systems engineering, Aeronautical science, Simulation tools, FAA procedures, Airspace structures, Collaboration, Research methods

Industry

Information Technology & Services

Description

AI-Enabled Air Traffic Control Research Intern Position type: Internship Location: Remote / Hybrid Duration: 5 weeks / starting on March 20, 2026 Compensation: Paid Internship About the Project The DSS Air Traffic Control Modernization Initiative is a multi‑university research project focused on designing AI‑assisted decision‑support tools for Air Traffic Controllers (ATCs). Our team works closely with industry experts—including airline pilots, safety investigators, and ATC professionals—to understand the complexities of airspace, aviation safety, and high‑reliability operations. We are seeking motivated students who are passionate about aviation, AI, safety systems, or human‑systems integration to help analyze real ATC scenarios, identify user needs, and evaluate early prototypes. This is an exceptional opportunity to contribute to the future of safe AI adoption in aviation. Role: AI‑Enabled ATC Research Intern As an intern, you will help our team explore how AI can support human operators in dynamic, high‑stakes air traffic environments. You do not need to be a certified controller — but you should have interest or coursework in aviation, aerospace, human factors, data science, or related fields. Responsibilities * Conduct research on airspace structures (A–G), IFR/VFR rules, and ATC operating procedures * Analyze real‑world ATC scenarios including terminal operations, sequencing, runway changes, and flow constraints * Review and label aviation/ATC data to support AI model training and validation * Participate in meetings with other interns from other educational backgrounds. * Assist in building problem definitions for AI/ML systems (e.g., conflict detection, traffic interpretation) * Document operational edge cases (weather impacts, VFR intrusions, equipment limitations, radio gaps) * Support prototype evaluations and provide structured feedback * Contribute to a final report summarizing insights and design recommendations. * Understand Blue Sky, Blue Sky Gym, and/or Open Scope Preferred Majors Students studying in the following areas are encouraged to apply: * Aviation / Aeronautical Science * Aerospace Engineering * Computer Science / AI / Data Science * Human Factors / Human‑Computer Interaction * Air Traffic Management * Safety Science / Systems Engineering * Applied Mathematics or related STEM fields Minimum Qualifications * Strong interest in aviation safety, ATC environments, and knowledge of AI‑driven systems * Understand aviation rules and procedures (FAR/AIM) * Strong analytical, problem‑solving, and communication skills * Ability to work independently and collaboratively in a research environment Bonus Qualifications * Experience with simulations or flight‑training tools * Familiarity with FAA procedures, ATC phraseology, or aviation coursework * Awareness of AI/ML fundamentals (no coding required) * Experience in research methods, technical writing, or system design What You’ll Gain * Direct exposure to aviation operations and ATC workflow challenges * Hands‑on involvement in the earliest stages of an aviation‑AI innovation * Skills in human‑in‑the‑loop AI, safety‑critical design, and applied research Equal Opportunity Statement We value diversity, curiosity, and interdisciplinary thinking. Students from all backgrounds—including first‑generation, community college, military, and non‑traditional students—are encouraged to apply/ Remote work requirements Remote employees must be based within the US. Time requirements: Part-Time 20 hours per week Employment duration Temporary Estimated start date - end date 3/20/2026 - 4/27/2026 Estimated end date 4/27/2026 Compensation 1,000–2,000 USD per month Job role groups Air Traffic Controllers and Airfield Operations Specialists, Rotational Internship Programs CANDIDATE QUALIFICATIONS Edit SkillsAI/ML Problem‑Definition SkillsAnalytical ThinkingATC proceduresAviation & Airspace KnowledgeCross‑Disciplinary CollaborationData Labeling & Annotation PrecisionTechnical Writing School year JuniorSenior Major groups AviationComputer ScienceAviationAviation Maintenance TechnologCybersecurity DefenseCollision Engineering TechAirport and Air Mobility ManagementAviation and Aerospace SafetyAeronautics, Aircraft/Aviation Maintenance

Responsibilities

The intern will conduct research on airspace structures and ATC procedures while analyzing real-world scenarios to support AI model training. They will also assist in defining problems for AI/ML systems and contribute to a final report summarizing design recommendations.