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Remote Machine Learning Ops Engineer Jobs in Syracuse, NY

micro1 AI

AI Trainer - Microbiology Expert

Syracuse, NY · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Baker Hughes

Tool Designer

Skaneateles, NY · On-site +1

$65K - $121K/yr

... Engineering, Automation, Tool Makers, CNC Machinists, and Production teams to support new product ... Candidates for this role (office-based/ hybrid/ remote) must be located in or near the locations ...

Baker Hughes

Tool Designer

Skaneateles, NY · On-site +1

$65K - $121K/yr

... Engineering, Automation, Tool Makers, CNC Machinists, and Production teams to support new product ... Candidates for this role (office-based/ hybrid/ remote) must be located in or near the locations ...

Actalent

Training Specialist

East Syracuse, NY · On-site +1

... fully remote with occasional onsite visits.) This role focuses on designing, developing, and ... Partner with subject-matter experts and stakeholders to assess training needs, define learning ...

All JobsMachine Learning Ops Engineer JobsRemote Machine Learning Ops Engineer JobsRemote Machine Learning Ops Engineer Jobs in Syracuse, NY

Remote Machine Learning Ops Engineer information

See Syracuse, NY salary details

$31.1K

$127.2K

$191.2K

How much do remote machine learning ops engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning ops engineer in Syracuse, NY is $127,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,100.00 per year, depending on experience, location, and employer.

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Medical Microbiology Consultant - Remote

micro1 AI

Syracuse, NY • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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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