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Remote Customer Feedback Jobs in Sun Prairie, WI

Managed Services Engineer - Azure

Madison, WI · Remote

$56.25 - $75/hr

US - Remote Full time JR2891 About Us Since 1989, SHI International Corp. has helped organizations ... Customer Service: Can proactively seek out customer feedback, empathize with customers, and tailor ...

Managed Services Engineer - Azure

Madison, WI · Remote

$56.25 - $75/hr

US - Remote Full time JR2891 About Us Since 1989, SHI International Corp. has helped organizations ... Customer Service: Can proactively seek out customer feedback, empathize with customers, and tailor ...

Madison Office Preferable or Remote within USA Company Mission - Our mission is to help secure as ... Capture feedback and partner with Product and Engineering to prioritize fixes and influence the ...

You stay close to customers and build real relationships, not just collect feedback. You invest the ... Remote-First: We offer the freedom to work from home across most of the U.S. You'll enjoy the ...

Our team is based in Milwaukee, but we are open to this position being fully remote. * Drive ... Collect feedback, spotlight success stories, and facilitate case studies to amplify customer voice

... a customer's computational drug discovery project. In this role, you'll apply your expertise to ... feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ... Review, analyze, and provide feedback on Fee Schedule Disclosures and pricing articles, ensuring ...

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Showing results 1-20

Remote Customer Feedback information

See Sun Prairie, WI salary details

$9

$18

$26

How much do remote customer feedback jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote customer feedback in Sun Prairie, WI is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $20.34 per hour, depending on experience, location, and employer.

What is the difference between Remote Customer Feedback vs Remote Customer Service Representative?

AspectRemote Customer FeedbackRemote Customer Service Representative
Primary RoleCollects and analyzes customer feedback to improve products/servicesHandles customer inquiries, resolves issues, and provides support
Required SkillsCommunication, data analysis, feedback collection toolsCommunication, problem-solving, product knowledge
Work EnvironmentRemote, often flexible hours, focused on feedback platformsRemote, customer interaction via chat, email, or phone
Common CertificationsCustomer experience, survey tools, data analysisCustomer service, communication skills

While both roles are remote and involve customer interaction, Remote Customer Feedback focuses on gathering and analyzing customer opinions to inform business decisions. In contrast, Remote Customer Service Representatives directly assist customers with issues, providing support and solutions. Both roles require strong communication skills, but their core responsibilities differ significantly.

What are popular job titles related to Remote Customer Feedback jobs in Sun Prairie, WI?

For Remote Customer Feedback jobs in Sun Prairie, WI, the most frequently searched job titles are:

What cities near Sun Prairie, WI are hiring for Remote Customer Feedback jobs?

Cities near Sun Prairie, WI with the most Remote Customer Feedback job openings:

Infographic showing various Remote Customer Feedback job openings in Sun Prairie, WI as of July 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $38,040 per year, or $18.3 per hour.

Cheminformatics Specialist - Remote

Madison, WI • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 29 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.