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Remote Easiest Computer Science Jobs in Chattanooga, TN

Chattanooga, TN (onsite) or Remote Direct Reports : No Purpose Statement The Systems and Automation ... Required: * Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a ...

Lead Power Systems Engineer 2

Chattanooga, TN ยท On-site +1

$134.55K - $205.56K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

Lead Power Systems Engineer 2

Chattanooga, TN ยท On-site +1

$134.55K - $205.56K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

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Remote Easiest Computer Science information

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How much do remote easiest computer science jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote easiest computer science in Chattanooga, TN is $14.48, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $14.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Professional, and why are they important?

To thrive as a Remote Computer Science Professional, you need a solid understanding of programming languages, algorithms, and computer systems, often supported by a relevant degree or certifications. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for excelling in a remote environment. These skills and qualities ensure productivity, technical proficiency, and seamless teamwork despite physical distance.

What are some common challenges faced when working remotely in entry-level computer science roles, and how can they be managed?

Remote entry-level computer science roles often require strong self-discipline and time management, as it can be easy to get distracted without in-person supervision. Clear communication is also essential, since collaborating with team members and managers happens mainly through digital channels. To manage these challenges, it helps to establish a structured daily routine, proactively seek feedback, and use collaboration tools like Slack or Jira to stay connected with your team. Participating in regular check-ins and asking questions can also support your growth and ensure you remain aligned with project goals.

What are remote easiest computer science jobs?

Remote easiest computer science jobs are positions in the tech field that can be performed from anywhere and typically require less experience or specialized knowledge compared to more advanced roles. Examples include data entry, website testing, technical support, QA testing, or junior web development. These roles often involve basic programming, troubleshooting, or administrative IT tasks, making them accessible to beginners or those looking to enter the tech industry. Flexibility and the ability to work from home make these jobs appealing for many seeking work-life balance.

What is the difference between Remote Easiest Computer Science vs Remote Web Developer?

AspectRemote Easiest Computer ScienceRemote Web Developer
Required CredentialsBasic programming knowledge, certifications optionalHTML, CSS, JavaScript skills, often certifications or courses
Work EnvironmentRemote, flexible hours, individual tasksRemote, collaborative, project-based
Industry UsageBroad tech industry, entry-level rolesWeb development agencies, startups, tech companies
Search & Comparison IntentLooking for easy entry-level tech jobsSeeking web development roles with manageable complexity

Remote Easiest Computer Science typically involves entry-level programming tasks with minimal certifications, suitable for beginners. Remote Web Developer roles focus on building websites using HTML, CSS, and JavaScript, often requiring specific skills but still accessible for newcomers. Both roles are remote and entry-level, but Web Developer positions are more specialized in web technologies, while Computer Science roles may cover broader programming tasks.

What are popular job titles related to Remote Easiest Computer Science jobs in Chattanooga, TN? For Remote Easiest Computer Science jobs in Chattanooga, TN, the most frequently searched job titles are:
What job categories do people searching Remote Easiest Computer Science jobs in Chattanooga, TN look for? The top searched job categories for Remote Easiest Computer Science jobs in Chattanooga, TN are:
What cities near Chattanooga, TN are hiring for Remote Easiest Computer Science jobs? Cities near Chattanooga, TN with the most Remote Easiest Computer Science job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chattanooga, TN โ€ข Remote

Other

Posted 5 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.