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Remote Data Entry Research Jobs in Wisconsin (NOW HIRING)

CTRL + V) (IOI) Nice to Have: - 55+ WPM - Bank or Teller Experience - Data entry experience - Any ... remote position. Application Deadline This position is anticipated to close on Aug 19, 2026. About ...

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

Remote schedule will be determined at time of hire with the expectation of being in the office as ... basic navigation, data entry, simple functions and formatting) Preferred Qualifications:

Showing results 41-60

Remote Data Entry Research information

What is the difference between Remote Data Entry Research vs Remote Data Entry?

AspectRemote Data Entry ResearchRemote Data Entry
Primary FocusResearching and verifying data sources, gathering informationInputting and updating data into systems
Skills NeededResearch skills, data verification, internet proficiencyTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, online research tasksData input tasks, often repetitive
Common EmployersResearch firms, data companies, online platformsBusinesses, data management companies, online marketplaces

Remote Data Entry Research involves researching and verifying data sources, requiring research skills and internet proficiency. In contrast, Remote Data Entry focuses on inputting and updating data, emphasizing typing speed and accuracy. Both roles are remote, but their core tasks differ significantly, catering to different skill sets and employer needs.

Infographic showing various Remote Data Entry Research job openings in Wisconsin as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 2% In-person, and 98% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Milwaukee, WI • Remote

$90 - $120/hr

Part-time

Posted 17 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.