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Remote Weekend Data Analyst Jobs in Tulsa, OK (NOW HIRING)

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

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

Tulsa, OK · 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 ...

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

FP&A Manager - AI Trainer

Tulsa, OK · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Showing results 41-60

Remote Weekend Data Analyst information

See Tulsa, OK salary details

$31.1K

$75.5K

$124.2K

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

As of Aug 15, 2026, the average yearly pay for remote weekend data analyst in Tulsa, OK is $75,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 per year, depending on experience, location, and employer.
Infographic showing various Remote Weekend Data Analyst job openings in Tulsa, OK as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,481 per year, or $36.3 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Broken Arrow, OK • Remote

$70 - $90/hr

Part-time

Posted 18 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.