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Remote Medical Data Encoder Jobs in Suffolk, VA (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Norfolk, VA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

AI Trainer - Microbiology Expert

Suffolk, VA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Sentara Healthcare

Cost of Care Analyst

Norfolk, VA · On-site +1

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Uses data from internal and external sources to provide insights to decision makers to solve ...

Registrar Corp

Director, Growth Marketing

Hampton, VA · On-site +1

$140K - $160K/yr

Measure & Optimize * Use data to guide strategy and investment decisions. * Manage marketing ... Remote work flexibility within select U.S. states * Comprehensive benefits, including medical ...

Registrar Corp

Director, Growth Marketing

Hampton, VA · Remote

$140K - $160K/yr

Measure & Optimize * Use data to guide strategy and investment decisions. * Manage marketing ... Remote work flexibility within select U.S. states * Comprehensive benefits, including medical ...

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All JobsMedical Data Encoder JobsRemote Medical Data Encoder JobsRemote Medical Data Encoder Jobs in Suffolk, VA

Remote Medical Data Encoder information

See Suffolk, VA salary details

$9

$55

$79

How much do remote medical data encoder jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote medical data encoder in Suffolk, VA is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $64.95 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Data Encoder vs Remote Medical Coder?

AspectRemote Medical Data EncoderRemote Medical Coder
CertificationsTypically AHIMA or AAPC certification, coding credentialsSame certifications, often AHIMA or AAPC
Work EnvironmentRemote, healthcare facilities, insurance companiesRemote, hospitals, clinics, insurance companies
Job FocusConverting medical records into coded data for databasesAssigning codes to diagnoses and procedures for billing
Industry UsageHealthcare, insurance, data managementHealthcare, billing, insurance claims

Both roles require similar certifications and work remotely within healthcare settings. The main difference is that Remote Medical Data Encoders focus on converting medical records into coded data for databases, while Remote Medical Coders assign codes directly for billing and insurance purposes. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

What are popular job titles related to Remote Medical Data Encoder jobs in Suffolk, VA? For Remote Medical Data Encoder jobs in Suffolk, VA, the most frequently searched job titles are:
What job categories do people searching Remote Medical Data Encoder jobs in Suffolk, VA look for? The top searched job categories for Remote Medical Data Encoder jobs in Suffolk, VA are:
What cities near Suffolk, VA are hiring for Remote Medical Data Encoder jobs? Cities near Suffolk, VA with the most Remote Medical Data Encoder job openings:
Remote Medical Data Encoder jobs near you
Infographic showing various Remote Medical Data Encoder job openings in Suffolk, VA as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 14% Full Time, 57% Part Time, 13% Temporary, and 13% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $116,176 per year, or $55.9 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Chesapeake, VA • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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