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Aviation Project Manager Remote Jobs in Rochester, MN

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... You'll be able to choose which projects you want to work on and when * You work on your own ...

Engineer, E&I

Rochester, MN · On-site +1

$140K - $180K/yr

... of projects and will report to the Engineering Department Manager. This position will play a ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

Construction Administrator

Rochester, MN · On-site +1

$88K - $110K/yr

This position requires consistent ONSITE presence at the project site in Rochester, MN ... HERE'S WHAT YOU'LL DO * Be a daily, on-site liaison between construction managers/general ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Collaborate with project leads to refine evaluation frameworks and document best practices for ...

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Showing results 21-40

Aviation Project Manager Remote information

See Rochester, MN salary details

$60.5K

$123.3K

$184.5K

How much do aviation project manager remote jobs pay per year?

As of Aug 7, 2026, the average yearly pay for aviation project manager remote in Rochester, MN is $123,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $158,100.00 per year, depending on experience, location, and employer.

What is the difference between Aviation Project Manager Remote vs Aviation Operations Coordinator?

AspectAviation Project Manager RemoteAviation Operations Coordinator
CredentialsProject management certification (PMP), aviation knowledgeOperational experience, FAA certifications often preferred
Work EnvironmentRemote, project-based, often involves collaboration with teams and clientsOn-site or hybrid, overseeing daily operations at airports or facilities
Employer & Industry UsageAirlines, aerospace firms, aviation consultantsAirports, airline ground services, maintenance companies

The Aviation Project Manager Remote focuses on managing aviation projects remotely, coordinating teams, and ensuring project goals are met. In contrast, the Aviation Operations Coordinator handles daily operational tasks, often on-site, ensuring smooth airport or airline operations. Both roles require aviation knowledge but differ in work setting and responsibilities.

What are the key skills and qualifications needed to thrive as an aviation project manager remote, and why are they important?

To thrive as an Aviation Project Manager (Remote), you need expertise in project management, aviation industry knowledge, and a relevant degree such as engineering or aviation management. Familiarity with project management software (e.g., MS Project, Primavera), industry regulations, and certifications like PMP are highly valued. Strong communication, leadership, and problem-solving abilities distinguish top candidates in remote settings. These skills and qualifications are crucial for ensuring effective project delivery, regulatory compliance, and seamless coordination across dispersed teams in the aviation sector.

What are some common challenges faced by remote aviation project managers, and how can they be addressed?

Remote Aviation Project Managers often face challenges in coordinating with cross-functional teams located in different time zones and ensuring clear communication among stakeholders. To address these issues, it’s important to leverage project management software, maintain regular virtual meetings, and establish clear communication protocols. Additionally, building strong relationships with on-site personnel and fostering a culture of transparency can help ensure projects stay on track despite the remote nature of the role.

What does an aviation project manager do, especially in a remote role?

An Aviation Project Manager oversees and coordinates projects related to the aviation industry, such as airport construction, aircraft system upgrades, or regulatory compliance initiatives. In a remote role, they use digital tools to manage project timelines, budgets, and teams spread across different locations. They are responsible for ensuring projects meet safety standards, regulatory requirements, and client expectations. Effective communication, organizational skills, and knowledge of aviation regulations are essential for this position.
What are popular job titles related to Aviation Project Manager Remote jobs in Rochester, MN? For Aviation Project Manager Remote jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Aviation Project Manager Remote jobs in Rochester, MN look for? The top searched job categories for Aviation Project Manager Remote jobs in Rochester, MN are:
Infographic showing various Aviation Project Manager Remote job openings in Rochester, MN as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,332 per year, or $59.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • Remote

Full-time

Re-posted 16 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.