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Remote Computer Science Teaching Jobs in Melbourne, FL

US Department of Commerce

Meteorologist

Melbourne, FL · On-site +1

$40.74K/yr

Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ... computer science. * There is a prerequisite or corequisite of calculus for course work in ...

Actionable Outcomes

IT Business Analyst

Melbourne, FL · On-site +1

$130K - $175K/yr

IT Business Analyst Remote, USA $130,000 - $175,000 annually + Benefits Must be a US citizen, No ... Bachelor's degree in Information Technology, Business Administration, Computer Science, or ...

Above Group

Remote Structural Engineer

Melbourne, FL · On-site +1

Indicators: continuous teaching and learning, effective knowledge and skills development ... Able to use computer software including Staad, Tedds, Excel, and other applicable tools. * Ability ...

Above Group

Remote Structural Engineer

Melbourne, FL · Remote

Indicators: continuous teaching and learning, effective knowledge and skills development ... Able to use computer software including Staad, Tedds, Excel, and other applicable tools. * Ability ...

Above Group

Remote Electrical Designer

Melbourne, FL · Remote

Indicators: continuous teaching and learning, effective knowledge and skills development ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

Above Group

Remote Electrical Designer

Melbourne, FL · On-site +1

Indicators: continuous teaching and learning, effective knowledge and skills development ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

Above Group

Remote Structural Engineer

Melbourne, FL · On-site +1

Indicators: continuous teaching and learning, effective knowledge and skills development ... Able to use computer software including Staad, Tedds, Excel, and other applicable tools. * Ability ...

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Remote Computer Science Teaching information

See Melbourne, FL salary details

$33.8K

$60.7K

$112.6K

How much do remote computer science teaching jobs pay per year?

As of May 29, 2026, the average yearly pay for remote computer science teaching in Melbourne, FL is $60,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,800.00 and $64,400.00 per year, depending on experience, location, and employer.

What is a Remote Computer Science Teaching job?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Teaching position, and why are they important?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.
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What cities near Melbourne, FL are hiring for Remote Computer Science Teaching jobs? Cities near Melbourne, FL with the most Remote Computer Science Teaching job openings:
Remote Computer Science Teaching jobs near you
Infographic showing various Remote Computer Science Teaching job openings in Melbourne, FL as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $60,686 per year, or $29.2 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Melbourne, FL • Remote

Other

Posted 7 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.

Apply