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Remote Google Android Developer Jobs in Naperville, IL

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with CI/CD ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

... Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

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Remote Google Android Developer information

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$61

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How much do remote google android developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote google android developer in Naperville, IL is $61.04, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $70.34 per hour, depending on experience, location, and employer.

What does a remote Google Android developer do?

A Remote Google Android Developer designs, builds, tests, and maintains applications for devices running the Android operating system. They primarily use programming languages such as Java or Kotlin, and collaborate with teams to develop user-friendly, high-performance mobile apps. Working remotely, they communicate via digital tools and manage their tasks independently while adhering to project requirements and deadlines. Their responsibilities also include debugging, optimizing app performance, and ensuring security and compatibility across a range of Android devices.

What are the key skills and qualifications needed to thrive as a remote Google Android developer?

To thrive as a Remote Google Android Developer, you need strong proficiency in Java or Kotlin, a solid understanding of Android SDK, and experience with mobile app architecture, typically backed by a relevant degree or portfolio. Familiarity with development tools such as Android Studio, Git, Firebase, and knowledge of publishing on Google Play is essential. Effective communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These skills ensure high-quality, robust Android applications and successful teamwork in a remote environment.

How does a remote Google Android developer typically collaborate with team members across different time zones?

As a Remote Google Android Developer, you will often work with cross-functional teams distributed across various locations. Collaboration is facilitated through regular video meetings, project management tools, and asynchronous communication platforms like Slack or Jira. It's important to proactively communicate progress, ask clarifying questions, and document your work clearly to ensure everyone stays aligned. Flexibility with meeting times and strong self-management skills are key to thriving in this environment.

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Generative AI Automation Engineer - Remote Job

Joliet, IL • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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