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Remote Digital Image Processing Jobs in Buffalo, NY

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Alteryx Digital Representative

Alabama, NY · On-site +1

$120K - $150K/yr

Gain a deep understanding of the customer's processes and problems. Ensure the right questions are ... A monthly Connectivity Plus stipend of $150 to support remote work-related expenses * An annual ...

Senior Underwriting Consultant

Alabama, NY · On-site +1

$88K - $105K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... image and serve as an example to junior staff. * Manage all aspects of underwriting process for ...

... digital campaigns, leads, product sampling, and support calls based on the identification of ... Convey a positive and professional phone image. Additional Duties: * Support the Team Supervisor on ...

... digital campaigns, leads, product sampling, and support calls based on the identification of ... Convey a positive and professional phone image. Additional Duties: * Support the Team Supervisor on ...

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Batch processing * API-based integration * Event-driven architectures * Real-time streaming ...

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Remote Digital Image Processing information

See Buffalo, NY salary details

$44.1K

$52.4K

$57.2K

How much do remote digital image processing jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote digital image processing in Buffalo, NY is $52,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $57,200.00 per year, depending on experience, location, and employer.

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Cities near Buffalo, NY with the most Remote Digital Image Processing job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Buffalo, NY • Remote

$70 - $90/hr

Part-time

Posted 19 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.