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Mid Level Flight Simulator Instructor Jobs in Michigan

Bay College

Adjunct Nursing Instructor

Escanaba, MI · On-site

$660/day

Position Details Position Information Position Title Adjunct Nursing Instructor Pay Grade Level F ... Post-secondary teaching experience in didactic, clinical, simulation, lab, and online courses.

Bay College

Adjunct Nursing Instructor

Escanaba, MI · On-site

$660/day

Position Details Position Information Position Title Adjunct Nursing Instructor Pay Grade Level F ... Post-secondary teaching experience in didactic, clinical, simulation, lab, and online courses.

Bay College

Adjunct Nursing Instructor

Escanaba, MI · On-site

$660/day

Position Details Position Information Position Title Adjunct Nursing Instructor Pay Grade Level F ... Post-secondary teaching experience in didactic, clinical, simulation, lab, and online courses.

SAIC

Air Traffic Control Instructor at DTW

Detroit, MI · On-site

... simulation systems and procedures. This position may provide mentoring for students and Remote ... Experience must have been at the same type and same [or greater] level of ATC facility as the ...

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All JobsMid Level Flight Simulator Instructor JobsMid Level Flight Simulator Instructor Jobs in Michigan

Mid Level Flight Simulator Instructor information

What is the difference between Mid Level Flight Simulator Instructor vs Flight Training Specialist?

AspectMid Level Flight Simulator InstructorFlight Training Specialist
Required CertificationsCommercial Pilot License, Flight Instructor Certificate, Simulator Instructor RatingCommercial Pilot License, Flight Instructor Certificate, sometimes Simulator Certification
Work EnvironmentFlight simulators, training centers, aviation academiesTraining centers, airline training departments, aviation schools
Employer & Industry UsageAirlines, flight schools, militaryAirlines, corporate flight departments, aviation training providers

Mid Level Flight Simulator Instructors primarily focus on training pilots using simulators, often within airline or military settings. Flight Training Specialists may have broader roles in aviation training, including classroom instruction and practical flight training. While both roles require similar certifications and work environments, Mid Level Flight Simulator Instructors specialize more in simulator-based instruction, whereas Flight Training Specialists may encompass a wider range of training activities.

What are some common challenges faced by Mid Level Flight Simulator Instructors and how can they be managed?

Mid Level Flight Simulator Instructors often face challenges such as adapting training scenarios to suit pilots with varying experience levels and learning styles. Additionally, staying current with evolving simulator technology and regulatory requirements can be demanding. Effective communication and flexibility are essential for addressing trainee needs, while ongoing professional development helps instructors stay up-to-date. Collaborating closely with other instructors and flight operations teams ensures training remains relevant and effective.

What does a Mid Level Flight Simulator Instructor do?

A Mid Level Flight Simulator Instructor is responsible for training pilots by operating flight simulators and providing instruction on flight procedures, safety protocols, and emergency scenarios. They create realistic training environments, evaluate trainee performance, and offer feedback to improve skills. Instructors may also help develop training materials and ensure that all simulations comply with aviation standards and regulations. Their role is crucial in preparing pilots for real-world flying while minimizing risks.

What are the key skills and qualifications needed to thrive as a Mid Level Flight Simulator Instructor, and why are they important?

To thrive as a Mid Level Flight Simulator Instructor, you need in-depth aviation knowledge, instructional experience, and usually a commercial or military pilot background. Familiarity with advanced flight simulation software, cockpit systems, and training management platforms is typically required, along with relevant certifications such as FAA Certified Flight Instructor (CFI) or equivalent. Strong communication, adaptability, and the ability to give constructive feedback distinguish top instructors in this field. These skills and qualifications are crucial for ensuring realistic, effective pilot training and maintaining high safety standards.
What are the most commonly searched types of Flight Simulator Instructor jobs in Michigan? The most popular types of Flight Simulator Instructor jobs in Michigan are:
What are popular job titles related to Mid Level Flight Simulator Instructor jobs in Michigan? For Mid Level Flight Simulator Instructor jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Mid Level Flight Simulator Instructor jobs in Michigan look for? The top searched job categories for Mid Level Flight Simulator Instructor jobs in Michigan are:
What cities in Michigan are hiring for Mid Level Flight Simulator Instructor jobs? Cities in Michigan with the most Mid Level Flight Simulator Instructor job openings:
Mid Level Flight Simulator Instructor jobs near you
Infographic showing various Mid Level Flight Simulator Instructor job openings in Michigan as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Mid-Level AI Software Test Engineer

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Posted 11 days ago

Job description

Mid-Level AI Software Test Engineer | Ann Arbor, Michigan, United States
Mid-Level AI Software Test Engineer
Position Summary
We are seeking a Mid-Level AI Software Test Engineer to lead the quality assurance, validation, and automation efforts for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering practices with emerging AI testing methodologies to ensure AI systems are accurate, reliable, secure, scalable, and production-ready.
The ideal candidate has a strong foundation in software testing and automation, along with experience or exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP) integrations, and machine learning platforms. This role plays a critical part in establishing AI quality standards, evaluation frameworks, governance controls, and automated testing capabilities across the AI development lifecycle.
Professional Experience:
  • 3-6 years of software quality engineering, QA automation, or software testing experience.
  • 1-3 years of experience or practical exposure to AI, machine learning, or generative AI technologies preferred

Work Style:
This role is expected to operate with moderate independence, owning AI testing initiatives from planning through execution while collaborating closely with engineers, architects, product teams, and stakeholders to deliver high-quality AI solutions.
Mid-Level AI Software Test Engineer
(Also known as: AI Quality Engineer, Generative AI Test Engineer, AI Automation Engineer, AI Validation Engineer, SDET-AI)
Key Responsibilities
AI Quality Engineering
  • Develop and execute comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI-generated outputs for accuracy, consistency, relevance, reliability, and safety.
  • Design and perform functional, integration, end-to-end, regression, and performance testing for AI-powered solutions.
  • Create and maintain test cases for prompt-driven applications, AI agents, RAG systems, and workflow orchestration platforms.
  • Validate AI guardrails, business rules, permissions models, compliance requirements, and governance controls.
  • Conduct adversarial, negative, and edge-case testing to identify hallucinations, unsafe behavior, model drift, and failure scenarios.
  • Establish quality benchmarks and acceptance criteria for AI solutions.

Test Automation & Evaluation
  • Design, build, and maintain automated test frameworks for AI applications and services.
  • Develop automated evaluation pipelines to assess AI responses, workflows, and model behavior.
  • Integrate AI testing processes into CI/CD pipelines.
  • Implement automated quality scoring, benchmarking, and regression detection capabilities.
  • Create reusable test datasets, simulators, mocks, and validation frameworks to support scalable testing.

Platform & Integration Testing
  • Test AI agents, copilots, APIs, workflow engines, MCP integrations, and tool-calling capabilities.
  • Validate integrations with enterprise systems, external APIs, databases, and knowledge repositories.
  • Verify performance, reliability, scalability, resiliency, and availability of AI workloads.
  • Execute load, stress, and performance testing for AI applications and services.
  • Identify, document, and troubleshoot defects across application, infrastructure, model, and integration layers.

Collaboration & Continuous Improvement
  • Partner closely with software engineers, AI engineers, solution architects, product owners, and security teams.
  • Participate in solution design reviews and provide quality-related recommendations early in the development lifecycle.
  • Contribute to testing standards, methodologies, best practices, and AI quality frameworks.
  • Support production readiness reviews, defect triage, root cause analysis, and continuous improvement initiatives.
  • Promote responsible AI practices and help ensure alignment with organizational governance, privacy, risk, and compliance requirements.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, quality assurance, quality engineering, or test automation.
  • Experience developing automated testing solutions using one or more of the following:
    • Python
    • Java
    • JavaScript / TypeScript
    • C#
  • Experience with API testing and automation frameworks.
  • Strong understanding of:
    • Test automation methodologies
    • Software Development Lifecycle (SDLC)
    • Agile development practices
    • CI/CD pipelines and DevOps principles
  • Experience testing distributed systems, web applications, APIs, and enterprise platforms.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Preferred Qualifications
  • Experience testing:
    • Generative AI applications
    • LLM-based systems
    • AI agents and autonomous workflows
    • Retrieval-Augmented Generation (RAG) solutions
    • MCP-based integrations
  • Familiarity with leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing AI evaluation, benchmarking, and validation frameworks.
  • Experience testing cloud-native applications on:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (GCP)
  • Knowledge of:
    • Responsible AI principles
    • AI governance frameworks
    • AI risk management and compliance practices
    • Privacy and security considerations for AI systems

Required Skills : • Experience testing: o Generative AI applications o LLM-based systems o AI agents o RAG applications o MCP-based integrations • Familiarity with: o OpenAI o Claude o Gemini o Azure OpenAI • Experience building evaluation and benchmarking frameworks for AI solutions. • Experience testing cloud-native applications on Azure, AWS, or GCP. • Knowledge of responsible AI, AI governance, and AI risk management practices. AI initiatives are typically expected to align with enterprise governance, risk, privacy, and compliance requirements. Technical Skills
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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