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Evening Remote Data Annotation Jobs in Missouri (NOW HIRING)

GeoYeti

Senior SAR Imagery Scientist

Saint Louis, MO · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Support annotation workflows by identifying and flagging imagery containing objects of interest

All JobsEvening Data Annotation JobsEvening Remote Data Annotation JobsEvening Remote Data Annotation Jobs in Missouri

Evening Remote Data Annotation information

What is the difference between Evening Remote Data Annotation vs Night Remote Data Annotation?

AspectEvening Remote Data AnnotationNight Remote Data Annotation
Work HoursTypically evening hours, e.g., 4 PM - 10 PMUsually late-night hours, e.g., 10 PM - 4 AM
CredentialsBasic data annotation skills, sometimes requiring familiarity with annotation toolsSimilar credentials, often requiring experience with annotation platforms
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible, suited for night owls or those with daytime commitments
Industry UsageCommon in AI training data projects across tech and healthcareSimilar industry usage, focusing on continuous data labeling needs

Both roles involve remote data annotation tasks with similar credentials and industry applications. The main difference lies in the work hours, with Evening Remote Data Annotation scheduled during evening hours and Night Remote Data Annotation during late-night shifts. Your choice depends on your preferred working hours and personal schedule.

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Evening Remote Data Annotation jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Columbia, MO • Remote

$70 - $90/hr

Part-time

Posted 10 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.

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