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Remote Ea Customer Support Jobs in Rochester, MN

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See Rochester, MN salary details

$5

$39

$63

How much do remote ea customer support jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote ea customer support in Rochester, MN is $39.44, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $53.99 per hour, depending on experience, location, and employer.

What is the difference between Remote Ea Customer Support vs Remote Executive Assistant?

AspectRemote Ea Customer SupportRemote Executive Assistant
Required CredentialsCustomer service experience, communication skillsAdministrative skills, organizational experience
Work EnvironmentCustomer support platforms, communication toolsScheduling, email management, calendar tools
Employer & Industry UsageCustomer service departments, support centersExecutives, entrepreneurs, corporate offices
Common Search & Comparison IntentCustomer support roles, remote support jobsAdministrative support, executive assistance roles

Remote Ea Customer Support focuses on assisting customers via communication channels, requiring strong communication skills and customer service experience. Remote Executive Assistants handle administrative tasks for executives, emphasizing organizational and scheduling skills. While both roles are remote and require excellent communication, their core responsibilities differ significantly, catering to different employer needs and industry functions.

What are popular job titles related to Remote Ea Customer Support jobs in Rochester, MN? For Remote Ea Customer Support jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Ea Customer Support jobs in Rochester, MN look for? The top searched job categories for Remote Ea Customer Support jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Remote Ea Customer Support jobs? Cities near Rochester, MN with the most Remote Ea Customer Support job openings:
Remote Ea Customer Support jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Rochester, MN • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply