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Remote No Experience Image Annotation Jobs in Meriden, CT

We are currently hiring for a remote sales position with a structured training program . This role ... Flexible scheduling * Performance-based income No experience required - we will teach you ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Showing results 21-40

Remote No Experience Image Annotation information

What is the difference between Remote No Experience Image Annotation vs Remote No Experience Data Labeling?

AspectRemote No Experience Image AnnotationRemote No Experience Data Labeling
CredentialsNo certifications requiredNo certifications required
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Search IntentJobs involving image annotation tasksJobs involving data labeling tasks

Remote No Experience Image Annotation involves labeling images for AI training, while Remote No Experience Data Labeling covers a broader range of data types. Both roles are entry-level, remote, and do not require prior experience, making them accessible options for beginners interested in AI and data processing fields.

What job categories do people searching Remote No Experience Image Annotation jobs in Meriden, CT look for?

The top searched job categories for Remote No Experience Image Annotation jobs in Meriden, CT are:

What cities near Meriden, CT are hiring for Remote No Experience Image Annotation jobs?

Cities near Meriden, CT with the most Remote No Experience Image Annotation job openings:

Infographic showing various Remote No Experience Image Annotation job openings in Meriden, CT as of July 2026, with employment types broken down into 15% Locum Tenens, 20% Full Time, 10% Part Time, 2% Contract, 51% Nights, and 2% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

New Haven, CT • Remote

$70 - $90/hr

Part-time

Posted 22 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.