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Remote Qa Automation Test Engineer Jobs in Springfield, MO

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.

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Remote Qa Automation Test Engineer information

See Springfield, MO salary details

$10

$46

$63

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

As of Aug 16, 2026, the average hourly pay for remote qa automation test engineer in Springfield, MO is $46.79, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $53.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote QA automation test engineer?

To thrive as a Remote QA Automation Test Engineer, you need a solid background in software testing, programming (often with languages like Java, Python, or JavaScript), and automation frameworks, usually supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, Cucumber, Jenkins, Git, and experience with CI/CD pipelines or certifications like ISTQB are highly beneficial. Strong analytical thinking, attention to detail, self-motivation, and effective remote communication skills are essential for success in distributed teams. These skills are crucial to ensure the delivery of high-quality, bug-free software products in a collaborative, fast-paced, and remote work environment.

What does a remote QA automation test engineer do?

As a Remote QA Automation Test Engineer, your daily tasks generally include designing, developing, and maintaining automated test scripts, executing test cases, reporting defects, and collaborating with developers and product managers to ensure software quality. You will often participate in virtual meetings, sprint planning sessions, and code reviews to stay aligned with your team. The role also involves analyzing test results, identifying root causes of issues, and contributing to continuous integration/continuous deployment (CI/CD) processes. Being proactive in communication and documentation is especially important when working remotely to keep projects on track and ensure seamless collaboration.

What is a remote QA automation test engineer?

A Remote QA Automation Test Engineer is responsible for designing, developing, and executing automated test scripts to ensure software quality. They work remotely to identify bugs, improve test coverage, and collaborate with developers and product teams. This role requires proficiency in automation tools like Selenium, Appium, or Cypress, as well as programming languages such as Python, Java, or JavaScript. The goal is to enhance software reliability and efficiency while reducing manual testing efforts.

What are the most commonly searched types of Qa Automation Test Engineer jobs in Springfield, MO?

The most popular types of Qa Automation Test Engineer jobs in Springfield, MO are:

What job categories do people searching Remote Qa Automation Test Engineer jobs in Springfield, MO look for?

The top searched job categories for Remote Qa Automation Test Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Qa Automation Test Engineer jobs?

Cities near Springfield, MO with the most Remote Qa Automation Test Engineer job openings:

Infographic showing various Remote Qa Automation Test Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,328 per year, or $46.8 per hour.

Director of Biostatistics

micro1 AI

Springfield, MO • Remote

$60 - $100/hr

Part-time

Posted 9 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. 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. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.