2

Remote Data Analyst Apprenticeship Jobs in Reno, NV

... progress, analyze spatial data, and proactively mitigate schedule risks. What We're Looking For ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Pharmacovigilance Expert

Reno, NV · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Showing results 21-40

Remote Data Analyst Apprenticeship information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do remote data analyst apprenticeship jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data analyst apprenticeship in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Analyst Apprenticeship vs Remote Data Analyst?

AspectRemote Data Analyst ApprenticeshipRemote Data Analyst
CredentialsEntry-level, often no prior experience required, may include training certificationsTypically requires a degree in data analysis, statistics, or related field
Work EnvironmentStructured training program, mentorship, often part-time or internship-basedFull-time remote role, independent work with team collaboration
Employer UsageUsed by companies to train and develop new talentHired as a full employee or contractor for data analysis tasks

The Remote Data Analyst Apprenticeship is an entry-level training program designed to develop skills with mentorship, while a Remote Data Analyst is a full-time role requiring more experience and specific credentials. The apprenticeship offers a pathway into the industry, whereas the analyst position involves performing data analysis independently.

What are the most commonly searched types of Data Analyst Apprenticeship jobs in Reno, NV?

The most popular types of Data Analyst Apprenticeship jobs in Reno, NV are:

What are popular job titles related to Remote Data Analyst Apprenticeship jobs in Reno, NV?

For Remote Data Analyst Apprenticeship jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Apprenticeship jobs in Reno, NV look for?

The top searched job categories for Remote Data Analyst Apprenticeship jobs in Reno, NV are:

What cities near Reno, NV are hiring for Remote Data Analyst Apprenticeship jobs?

Cities near Reno, NV with the most Remote Data Analyst Apprenticeship job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Reno, NV • Remote

$70 - $90/hr

Part-time

Re-posted 12 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.