2

Remote Software Qa Jobs in Madison, AL (NOW HIRING)

... to ensure solution quality, scope alignment, and delivery progress • Support go-live ... experience in software implementation, technical consulting, or application development • ...

Quality Assurance: Ensure all documentation is accurate, comprehensive, and adheres to regulatory ... Strong interpersonal skills and the ability to work proficiently with remote employees * Proficient ...

Secret Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a skilled Principal ... Collaborate with cross-functional teams (Electrical, Software, and Systems Engineers) to ensure the ...

New

Showing results 21-40

Remote Software Qa information

See Madison, AL salary details

$19.3K

$111.2K

$169.3K

How much do remote software qa jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote software qa in Madison, AL is $111,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $123,200.00 per year, depending on experience, location, and employer.

What is a remote software QA?

A Remote Software QA (Quality Assurance) job involves testing software applications to identify and report bugs, ensuring they meet quality standards before release. QA professionals work from a remote location to execute test cases, automate testing processes, and collaborate with developers to resolve issues. They use various testing tools and methodologies to evaluate functionality, performance, security, and usability. Remote QA jobs require strong analytical skills, attention to detail, and effective communication to work with distributed teams.

What are the key skills and qualifications needed to thrive in the remote software QA position, and why are they important?

To thrive as a Remote Software QA, you need a solid grasp of software testing methodologies, attention to detail, and experience with quality assurance processes, often supported by a degree in computer science or a related field. Familiarity with test automation tools (like Selenium or Cypress), bug tracking systems (such as JIRA), and certifications like ISTQB can be highly beneficial. Excellent written communication, self-motivation, and strong collaboration skills are crucial for working effectively in a distributed team environment. These competencies ensure accurate defect identification, efficient workflow, and effective coordination, all of which are vital for delivering high-quality software in a remote setting.

What are some common challenges faced by remote software QA professionals, and how can they overcome them?

Remote Software QA professionals often face challenges such as communicating effectively with geographically dispersed teams and ensuring alignment on testing standards or project requirements. Staying organized and proactive through regular virtual meetings, detailed documentation, and clear status updates can help bridge communication gaps. Additionally, adapting to new tools for remote collaboration and test automation is key. Embracing a self-driven approach and seeking continuous feedback from colleagues can enhance both productivity and integration with development teams.

What are popular job titles related to Remote Software Qa jobs in Madison, AL?

For Remote Software Qa jobs in Madison, AL, the most frequently searched job titles are:

What job categories do people searching Remote Software Qa jobs in Madison, AL look for?

The top searched job categories for Remote Software Qa jobs in Madison, AL are:

What cities near Madison, AL are hiring for Remote Software Qa jobs?

Cities near Madison, AL with the most Remote Software Qa job openings:

Infographic showing various Remote Software Qa job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,212 per year, or $53.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Huntsville, AL • Remote

$80 - $110/hr

Part-time

Posted 18 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.