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Remote Quality Engineer Jobs in Mississippi (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Jackson, MS · Remote

$80 - $110/hr

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.

Experian

Senior Product Manager (Remote)

Madison, MS · On-site +1

$208K/yr

You will collaborate with data science teams on R&D initiatives, partner with engineering teams to ... Experience with 1st party/CRM data, data quality principles, identity linkage, and customer data ...

Experian

Senior Product Manager (Remote)

Madison, MS · On-site +1

$208K/yr

You will collaborate with data science teams on R&D initiatives, partner with engineering teams to ... Experience with 1st party/CRM data, data quality principles, identity linkage, and customer data ...

Hitachi

Project Manager

Crystal Springs, MS · Remote

Project/Program Management Job Schedule: Full time Remote: No Join Hitachi Energy in Crystal ... This role offers a unique chance to work closely with customers, engineering, quality, production ...

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All JobsQuality Engineer JobsRemote Quality Engineer JobsRemote Quality Engineer Jobs in Mississippi

Remote Quality Engineer information

See Mississippi salary details

$42.6K

$79.6K

$112.7K

How much do remote quality engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote quality engineer in Mississippi is $79,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $88,100.00 per year, depending on experience, location, and employer.

What is a remote quality engineer?

A Remote Quality Engineer is responsible for ensuring the quality and reliability of products or services while working remotely. They develop and execute test plans, identify defects, and collaborate with development teams to improve processes. Their role may involve automation testing, performance testing, or software validation, depending on the industry. Strong analytical skills, attention to detail, and knowledge of quality assurance methodologies are essential.

What does a remote quality engineer do?

A typical day for a Remote Quality Engineer involves reviewing requirements, designing and executing test cases, logging defects, and collaborating with developers and product managers via virtual meetings and online tools. You may also spend time analyzing test results, automating repetitive tests, and verifying bug fixes in different environments. Communication is key, so regular updates and status reports are often shared through team platforms like Slack or Jira. This role is dynamic and may require adapting to evolving project priorities while maintaining high-quality deliverables.

What are the key skills and qualifications needed to thrive as a remote quality engineer?

To thrive as a Remote Quality Engineer, you need a solid background in quality assurance principles, software testing methodologies, and a relevant engineering or computer science degree. Familiarity with automated testing frameworks (like Selenium or JUnit), defect tracking systems, and certifications such as ISTQB or Six Sigma are often expected. Exceptional problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top candidates apart. These capabilities are vital for maintaining product quality, collaborating across distributed teams, and ensuring continual process improvement from a distance.

Can remote quality engineers work from home?

Remote quality engineers can work from home, as many companies allow this role to be performed virtually. They typically use tools like test management software, collaboration platforms, and require strong communication skills to coordinate with teams remotely.

Is a remote quality engineer still in demand?

Remote quality engineers are in high demand as companies prioritize software quality and remote work flexibility. Skills in automation tools, testing frameworks, and continuous integration are especially valuable in this role, which often requires collaboration across distributed teams.

Is there a demand for a remote quality engineer?

There is strong demand for remote quality engineers across various industries, as companies seek professionals skilled in testing, automation tools, and quality assurance processes. The role often requires knowledge of programming, testing frameworks, and certifications like ISTQB, with many organizations offering flexible remote work arrangements.

What are the most commonly searched types of Quality Engineer jobs in Mississippi?

The most popular types of Quality Engineer jobs in Mississippi are:

What are popular job titles related to Remote Quality Engineer jobs in Mississippi?

For Remote Quality Engineer jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Remote Quality Engineer jobs in Mississippi look for?

The top searched job categories for Remote Quality Engineer jobs in Mississippi are:

What cities in Mississippi are hiring for Remote Quality Engineer jobs?

Cities in Mississippi with the most Remote Quality Engineer job openings:

Remote Quality Engineer jobs near you
Infographic showing various Remote Quality Engineer job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,591 per year, or $38.3 per hour.

Bioinformatics Software Engineer

micro1 AI

Jackson, MS • Remote

$80 - $110/hr

Part-time

Posted 15 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.

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