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Remote Reviewer Jobs in Virginia (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Hampton, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Roanoke, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Suffolk, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

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How much do remote reviewer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote reviewer in Virginia is $29.63, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $36.20 per hour, depending on experience, location, and employer.

What are common challenges faced by remote reviewers and how can they be managed?

Remote Reviewers often face challenges such as managing time effectively, minimizing distractions at home, and keeping up with changing review guidelines or standards. To address these, it’s important to set a dedicated workspace, establish a consistent daily routine, and stay proactive about reviewing updates from your team or employer. Regular communication through email or collaboration tools helps maintain alignment with colleagues and ensures questions are quickly resolved. Many companies also offer onboarding or ongoing training to help remote team members stay current and productive. Adapting to feedback and staying organized are key to success in this flexible yet self-driven role.

What is a remote reviewer?

A Remote Reviewer evaluates content, products, or services from a remote location, providing feedback based on specific guidelines. This role may involve reviewing articles, books, videos, software, or other materials for accuracy, quality, and adherence to standards. Depending on the industry, reviewers may work as freelancers, part-time employees, or full-time staff. Strong attention to detail, analytical skills, and subject matter expertise are often required.

What skills and qualifications are needed to thrive as a remote reviewer?

To thrive as a Remote Reviewer, you need excellent analytical skills, attention to detail, and expertise in the subject matter being reviewed, often supported by relevant education or experience. Familiarity with collaborative online platforms, document review systems, or specialized review software is frequently required. Strong written communication, time management, and self-motivation are essential soft skills in this predominantly independent role. These competencies ensure accurate, timely, and high-quality reviews while maintaining productivity in a remote work environment.

What are the most commonly searched types of Reviewer jobs in Virginia?

The most popular types of Reviewer jobs in Virginia are:

What are popular job titles related to Remote Reviewer jobs in Virginia?

For Remote Reviewer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Reviewer jobs in Virginia look for?

The top searched job categories for Remote Reviewer jobs in Virginia are:

What cities in Virginia are hiring for Remote Reviewer jobs?

Cities in Virginia with the most Remote Reviewer job openings:

Remote Reviewer jobs near you
Infographic showing various Remote Reviewer job openings in Virginia as of August 2026, with employment types broken down into 6% Internship, 58% Full Time, 16% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $61,626 per year, or $29.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Newport News, VA • Remote

$80 - $110/hr

Part-time

Posted 11 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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