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Full Time Flight Simulator Instructor Jobs in Boston, MA

Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable ... Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity ...

... hypersonic flight systems, developing and analyzing six degree-of-freedom simulations, and ... other related discipline  * 3+ years of relevant full-time experience 

New

Senior Systems Engineer

Hanscom Air Force Base, MA · On-site

$115K - $157K/yr

This is a full-time position located at Hanscom AFB. This position will specifically support the E7 ... Full Flight Simulators (FFS) under Federal Aviation Administration and European Union Aviation ...

... full-time staff members. Our co-ops work closely with experienced engineers and scientists to ... Develop RF telemetry and communications architectures for high-speed flight vehicles and ground ...

Showing results 21-40

Full Time Flight Simulator Instructor information

See Boston, MA salary details

$27.2K

$102.8K

$158.1K

How much do full time flight simulator instructor jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full time flight simulator instructor in Boston, MA is $102,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $121,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time flight simulator instructor?

To thrive as a Full Time Flight Simulator Instructor, you need in-depth aviation knowledge, instructional experience, and typically a commercial pilot license or equivalent qualification. Familiarity with flight simulator systems, relevant software platforms, and possibly certifications like FAA or EASA instructor ratings are important. Strong communication, patience, and adaptability are crucial soft skills for effectively training and evaluating pilots with varying experience levels. These skills ensure accurate, safe, and engaging training that meets regulatory standards and prepares pilots for real-world operations.

What are some typical challenges faced by full time flight simulator instructors, and how can they be managed?

Full Time Flight Simulator Instructors often encounter challenges such as adapting instructional techniques to different learning styles, keeping pace with rapidly evolving aviation technology, and ensuring strict adherence to training standards. Managing these challenges involves ongoing professional development, clear communication with trainees, and collaboration with other instructors and technical staff. Staying updated on regulatory changes and leveraging simulator features effectively are also key to delivering effective, compliant training sessions.

What does a full time flight simulator instructor do?

A Full Time Flight Simulator Instructor is responsible for training student pilots or licensed pilots using advanced flight simulators. They instruct on aircraft systems, procedures, emergency scenarios, and improve flying skills in a controlled and safe environment. These instructors design lesson plans, evaluate performance, and provide feedback to help trainees meet regulatory and company standards. Their role is crucial for building pilot skills without the risks and costs of actual flight.

What are the most commonly searched types of Flight Simulator Instructor jobs in Boston, MA?

The most popular types of Flight Simulator Instructor jobs in Boston, MA are:

What are popular job titles related to Full Time Flight Simulator Instructor jobs in Boston, MA?

For Full Time Flight Simulator Instructor jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Full Time Flight Simulator Instructor job openings in Boston, MA as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $102,795 per year, or $49.4 per hour.

Staff Engineer, Data Analysis (R5290)

Shield AI

Boston, MA • On-site

$150K - $220K/yr

Full-time

Re-posted 4 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We're looking for a Staff Engineer to lead V-BAT's fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs.  

You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. 

What you'll do:
  • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows 
  • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products 
  • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior 
  • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success 
  • Standardize the team's analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows 
  • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows 
  • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams 
  • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards 
  • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health 
  • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis 
  • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team 
Required qualifications:
  • 5+ years of relevant experience with a Bachelor's degree in Computer Science, Data Science, or a related technical field 
  • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines 
  • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems 
  • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments 
  • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations 
  • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams 
Preferred qualifications:
  • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites 
  • Experience with Matlab, Jupyter, or similar analysis and visualization tools 
  • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems 
  • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging 
  • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems 
$150,000 - $220,000 a year
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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