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Remote Customer Feedback Jobs in Springdale, AR (NOW HIRING)

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Biostatistician

Fayetteville, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Provide structured, well-reasoned written feedback grounded in applicable regulatory guidelines ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections ...

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Provide structured, well-reasoned written feedback grounded in applicable regulatory guidelines ...

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Remote Customer Feedback information

See Springdale, AR salary details

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How much do remote customer feedback jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote customer feedback in Springdale, AR is $16.62, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $18.51 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 Springdale, AR?

For Remote Customer Feedback jobs in Springdale, AR, the most frequently searched job titles are:

What job categories do people searching Remote Customer Feedback jobs in Springdale, AR look for?

The top searched job categories for Remote Customer Feedback jobs in Springdale, AR are:

What cities near Springdale, AR are hiring for Remote Customer Feedback jobs?

Cities near Springdale, AR with the most Remote Customer Feedback job openings:

Infographic showing various Remote Customer Feedback job openings in Springdale, AR as of July 2026, with employment types broken down into 74% Full Time, 14% Part Time, and 12% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $34,576 per year, or $16.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Fayetteville, AR • Remote

$80 - $110/hr

Part-time

Posted 16 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.