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Ai Annotation Jobs in Minnesota (NOW HIRING)

Thomson Reuters

AI Reliability Manager

Eagan, MN · On-site

Own and extend the gold datasets, annotation guidelines, and scoring rubrics used to evaluate agentic AI output for accuracy, completeness, and appropriate sourcing. * Execute evaluation cycles ...

THOMSON REUTERS

AI Reliability Manager

Eagan, MN · Hybrid

Own and extend the gold datasets, annotation guidelines, and scoring rubrics used to evaluate agentic AI output for accuracy, completeness, and appropriate sourcing. * Execute evaluation cycles ...

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Ai Annotation information

See Minnesota salary details

$11.1K

$46.9K

How much do ai annotation jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ai annotation in Minnesota is $45,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $45,400.00 per year, depending on experience, location, and employer.

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the AI annotation position?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in Minnesota?

The most popular types of Ai Annotation jobs in Minnesota are:

What are popular job titles related to Ai Annotation jobs in Minnesota?

For Ai Annotation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai Annotation jobs in Minnesota look for?

The top searched job categories for Ai Annotation jobs in Minnesota are:

What cities in Minnesota are hiring for Ai Annotation jobs?

Cities in Minnesota with the most Ai Annotation job openings:

Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $45,257 per year, or $21.8 per hour.

AI Trainer - Microbiology Expert

Minneapolis, MN • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$70 - $90/hr

Part-time

Re-posted 18 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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