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Internship Remote Qa Automation Engineer Jobs in Rochester, NY

AI Automation Engineer -Remote

Geneseo, NY · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... the quality of our products, decision-making, and internal processes. You'll work closely with ...

AI Automation Engineer -Remote

Rochester, NY · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... the quality of our products, decision-making, and internal processes. You'll work closely with ...

This role sits at the intersection of engineering, quality assurance, and platform operations. This ... Automation & Tooling * Support automation efforts across testing, deployment, and infrastructure.

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Evaluate the quality produced by AI models for correctness and performance Qualifications:

Field Application Engineer

Fairport, NY · On-site +1

$54K - $81K/yr

Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ... A global leader in factory automation and quality assurance solutions * Operating profit of over 40 ...

AI Engineer

Rochester, NY · On-site +1

$101K - $159K/yr

... automation, within the team and across IT. 30% * Designs and builds quality solutions which are ... remote tools.. * Applicant should have experience in infrastructure disciplines of networking ...

Communicates the testing status to project team members and the test manager to ensure timelines and quality are met. * Maintains test environments (multiple application, data/databases, and ...

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Internship Remote Qa Automation Engineer information

See Rochester, NY salary details

$11

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$69

How much do internship remote qa automation engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for internship remote qa automation engineer in Rochester, NY is $50.76, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $58.61 per hour, depending on experience, location, and employer.

What does a remote QA Automation Engineer intern do?

A remote QA Automation Engineer intern is responsible for assisting in the development, execution, and maintenance of automated tests that ensure the quality of software products. They work closely with the development and QA teams to identify test cases that can be automated, write scripts using tools like Selenium or Cypress, and report bugs or issues found during testing. As an intern, they also learn industry best practices, gain experience with automation frameworks, and contribute to improving the overall efficiency of the software testing process, all while working from a remote location.

What are the key skills and qualifications needed to thrive as an Internship Remote QA Automation Engineer, and why are they important?

To thrive as an Internship Remote QA Automation Engineer, you need a solid understanding of software testing principles, programming basics (often in Python, Java, or JavaScript), and familiarity with QA methodologies, typically supported by relevant coursework or a technical degree in progress. Experience with automation tools like Selenium, JUnit, or TestNG, and version control systems such as Git, is commonly required. Strong attention to detail, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and reporting defects. These skills and qualities ensure accurate test coverage, efficient identification of issues, and seamless teamwork in distributed development environments.

What types of projects and tasks can I expect to work on as a Remote QA Automation Engineer Intern?

As a Remote QA Automation Engineer Intern, you’ll typically contribute to developing and maintaining automated test scripts, executing test cases, and documenting results for web or mobile applications. You may assist in designing test plans, identifying bugs, and collaborating with developers to resolve issues. Interns often get exposure to popular automation tools like Selenium or Cypress and may participate in daily stand-ups, code reviews, and sprint planning with the QA and development teams. This hands-on experience helps build foundational skills and provides insight into the full software testing lifecycle in a collaborative, remote work environment.

What is the difference between Internship Remote Qa Automation Engineer vs Remote Qa Automation Engineer?

AspectInternship Remote Qa Automation EngineerRemote Qa Automation Engineer
CredentialsTypically pursuing or recently completed relevant certifications or degreesUsually holds certifications like ISTQB, experience in automation tools
Work EnvironmentInternship, often part-time or temporary, supervised by senior staffFull-time remote position with independent responsibilities
Industry UsageEntry-level, used for training and skill developmentProfessional role, focused on automation testing tasks
Search & Comparison IntentLearning about entry-level opportunities and training rolesLooking for experienced automation testing roles

The main difference is that the Internship Remote Qa Automation Engineer is an entry-level, temporary position aimed at gaining experience, while the Remote Qa Automation Engineer is a full-time professional role requiring more expertise and independence. Internships serve as training opportunities, whereas full-time roles focus on executing automation testing tasks independently.

What are popular job titles related to Internship Remote Qa Automation Engineer jobs in Rochester, NY? For Internship Remote Qa Automation Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Internship Remote Qa Automation Engineer jobs in Rochester, NY look for? The top searched job categories for Internship Remote Qa Automation Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Remote Qa Automation Engineer jobs? Cities near Rochester, NY with the most Internship Remote Qa Automation Engineer job openings:
Infographic showing various Internship Remote Qa Automation Engineer job openings in Rochester, NY as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $105,571 per year, or $50.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, NY • Remote

Other

Posted 28 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.