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Entry Level Data Annotation Analyst Jobs in Denver, CO

micro1 AI

AI Trainer - Microbiology Expert

Aurora, CO · Remote

$70 - $90/hr

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

AI Trainer - Microbiology Expert

Arvada, CO · Remote

$70 - $90/hr

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... Document experimental findings and processes with a focus on clarity for AI training data.

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Entry Level Data Annotation Analyst information

See Denver, CO salary details

$13

$33

$63

How much do entry level data annotation analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level data annotation analyst in Denver, CO is $33.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.84 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Annotation Analyst vs Data Labeling Specialist?

AspectEntry Level Data Annotation AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma; familiarity with labeling tools often preferred
Work EnvironmentOffice or remote; collaborative with data teamsRemote or on-site; focused on labeling tasks
Employer & Industry UsageTech companies, AI firms, research institutionsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in data annotationComparing similar data labeling roles

The Entry Level Data Annotation Analyst and Data Labeling Specialist roles are similar in requiring basic technical skills and working within AI or tech industries. The analyst role may involve more data analysis and quality checks, while the specialist focuses on labeling data accurately. Both positions are suitable for those starting in data annotation careers and often share similar work environments and employer types.

What are the most commonly searched types of Data Annotation Analyst jobs in Denver, CO?

The most popular types of Data Annotation Analyst jobs in Denver, CO are:

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For Entry Level Data Annotation Analyst jobs in Denver, CO, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Annotation Analyst jobs in Denver, CO are:

What cities near Denver, CO are hiring for Entry Level Data Annotation Analyst jobs?

Cities near Denver, CO with the most Entry Level Data Annotation Analyst job openings:

Entry Level Data Annotation Analyst jobs near you
Infographic showing various Entry Level Data Annotation Analyst job openings in Denver, CO as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,493 per year, or $33.9 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Centennial, CO • 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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