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Part Time Remote Qa Automation Engineer Jobs in Rochester, NY

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Senior Accountant

Rochester, NY · Remote

$68K - $85K/yr

Senior Accountant *Part-Time or Full-Time, Remote, On-Site, and Hybrid Opportunities Available ... Implement process enhancements, automation initiatives, and best practices to streamline workflows ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Part Time Remote Qa Automation Engineer information

See Rochester, NY salary details

$11

$50

$69

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

As of Aug 19, 2026, the average hourly pay for part time 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 part time remote QA automation engineer do?

A Part Time Remote QA Automation Engineer is responsible for designing, developing, and executing automated test scripts to ensure the quality of software products, all while working from a remote location and on a part-time schedule. They identify bugs, report issues, and collaborate with developers and other stakeholders to improve product reliability. Their work helps streamline testing processes, increase test coverage, and reduce manual testing effort, all while offering flexibility in work hours and location.

What are the key skills and qualifications needed to thrive as a part time remote QA automation engineer, and why are they important?

To excel as a Part Time Remote QA Automation Engineer, you need a strong understanding of software testing principles, experience in writing and executing automated test scripts, and proficiency in programming languages such as Java, Python, or JavaScript. Familiarity with popular testing frameworks like Selenium, Cypress, or TestNG, as well as version control systems such as Git, is typically required. Outstanding attention to detail, effective communication, and self-motivation are crucial soft skills for success in a remote and collaborative environment. These skills and qualities ensure efficient, high-quality software delivery and seamless teamwork despite working from a distance.

What are some common challenges faced by part time remote QA automation engineers and how can they be addressed?

Part-time remote QA Automation Engineers often face challenges such as coordinating with full-time team members across different time zones, staying updated on project changes, and ensuring test coverage aligns with evolving requirements. Overcoming these challenges typically involves proactive communication, using collaboration tools like Slack or Jira, and setting clear expectations about availability. Regularly syncing with developers and participating in virtual stand-ups can help maintain alignment and foster a sense of teamwork even when working remotely and part-time.

What job categories do people searching Part Time Remote Qa Automation Engineer jobs in Rochester, NY look for?

The top searched job categories for Part Time Remote Qa Automation Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Part Time Remote Qa Automation Engineer jobs?

Cities near Rochester, NY with the most Part Time Remote Qa Automation Engineer job openings:

Infographic showing various Part Time Remote Qa Automation Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $105,571 per year, or $50.8 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, NY • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.