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Manual Software Testing Remote Jobs in Tennessee

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Scheduling Coordinator

Memphis, TN · Remote

$17.25 - $21.75/hr

This is a remote position but candidate must reside in one these states: GA, IL, TN, AZ, NH, MA, CT ... Educates patients regarding the type of sleep testing ordered, the registration and study process ...

We strive to provide our customers with software solutions that meet their needs by continually ... We do not offer full-time remote positions, candidates must be able to commute to the office or be ...

Showing results 41-60

Manual Software Testing Remote information

See Tennessee salary details

$9

$38

$55

How much do manual software testing remote jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for manual software testing remote in Tennessee is $38.04, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $44.28 per hour, depending on experience, location, and employer.

What is manual software testing in a remote job?

Manual software testing in a remote job involves evaluating software applications for defects or issues without using automated tools, all while working from a location outside of a traditional office. Testers follow test cases, report bugs, and collaborate with development teams using online communication and project management tools. Remote manual testers need strong attention to detail, clear documentation skills, and the ability to work independently. This role is crucial for identifying user experience issues and ensuring software quality before release.

What are the key skills and qualifications needed to thrive as a manual software tester working remotely?

To thrive as a Manual Software Tester in a remote setting, you need a solid understanding of software development life cycles, test case design, and defect tracking, typically supported by a degree in computer science or a related field. Familiarity with bug tracking tools like Jira, test management systems such as TestRail, and basic knowledge of SQL are commonly required. Strong attention to detail, effective written communication, and self-motivation are crucial soft skills for remote collaboration and problem-solving. These skills ensure accurate testing, clear reporting, and efficient teamwork, leading to higher software quality in distributed environments.

How does a remote manual software tester typically collaborate with development teams to resolve bugs and improve product quality?

Remote manual software testers regularly communicate with developers and product managers using tools like JIRA, Slack, or Microsoft Teams. They document defects clearly, provide detailed reproduction steps, and may participate in virtual stand-up meetings or sprint reviews. Strong written communication and proactive status updates are key to ensuring issues are understood and resolved efficiently. Building positive, solution-oriented relationships with team members helps testers advocate for quality while working remotely.

What is the difference between Manual Software Testing Remote vs Manual QA Tester?

AspectManual Software Testing RemoteManual QA Tester
CredentialsTypically requires a QA or testing certification, basic technical skillsOften requires similar certifications, testing experience, and understanding of QA processes
Work EnvironmentRemote, often freelance or contract-basedCan be remote or on-site, depending on employer
Industry UsageCommon in software development, tech companiesUsed across various industries including tech, finance, healthcare
Search & Comparison IntentOften searched by those looking for remote testing rolesCompared for similar testing roles, often in job searches

Manual Software Testing Remote and Manual QA Tester roles share similar skills and certifications, but differ mainly in work environment and job search intent. Manual Software Testing Remote emphasizes remote work, while Manual QA Tester may be on-site or remote. Both roles are vital in ensuring software quality across industries.

Are manual software testing remote testers still in demand?

Manual software testing remote testers continue to be in demand as many companies seek to ensure software quality through human-led testing, especially for usability and exploratory testing. Skills in test case creation, defect reporting, and familiarity with testing tools remain valuable, though automation skills are increasingly preferred for efficiency. The demand varies by industry and project complexity but generally remains steady in the remote testing market.

Is manual software testing in demand?

Manual software testing remains in demand as many companies require human oversight to identify user experience issues and complex bugs. While automation testing is growing, manual testing skills are essential for certain projects, especially in environments with limited automation coverage or during initial testing phases.

What are the most commonly searched types of Manual Software Testing jobs in Tennessee?

The most popular types of Manual Software Testing jobs in Tennessee are:

What are popular job titles related to Manual Software Testing Remote jobs in Tennessee?

For Manual Software Testing Remote jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Manual Software Testing Remote jobs?

Cities in Tennessee with the most Manual Software Testing Remote job openings:

Infographic showing various Manual Software Testing Remote job openings in Tennessee as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $79,120 per year, or $38 per hour.

Bioinformatics Software Engineer

micro1 AI

Clarksville, TN • Remote

$80 - $110/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.