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Remote Medical Data Encoder Jobs in Tucson, AZ (NOW HIRING)

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.

In this fully remote position, you will be the spearhead for our Fixed Plant, Mill Liners, and Wear ... Proficiency in Salesforce (CRM) and data-driven decision-making (Preferred but not mandatory)

Work from home / work remote 100%, if desired! * Medical, dental and vision coverage! * Short term ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Quality Assurance Partner

Oro Valley, AZ ยท Remote

$50 - $60/hr

Remote Hours : M-F EST Business Hours (Must have ability to work non-traditional work hours to ... Bachelors or Master degree in Life Science, Data Science or related subject, or equivalent ...

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Remote Medical Data Encoder information

See Tucson, AZ salary details

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

As of Aug 4, 2026, the average hourly pay for remote medical data encoder in Tucson, AZ is $55.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $64.57 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 Tucson, AZ? For Remote Medical Data Encoder jobs in Tucson, AZ, the most frequently searched job titles are:
What cities near Tucson, AZ are hiring for Remote Medical Data Encoder jobs? Cities near Tucson, AZ with the most Remote Medical Data Encoder job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Tucson, AZ โ€ข Remote

$70 - $90/hr

Part-time

Posted 6 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 โ€” 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. Bachelorโ€™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 (Masterโ€™s or PhD) in a relevant field.