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Data Annotation Ai Trainer Jobs in Madison, WI (NOW HIRING)

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... Identify training and development opportunities to keep team capabilities current with modern data ...

Husch Blackwell LLP

Data Engineering Manager

Madison, WI · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... Identify training and development opportunities to keep team capabilities current with modern data ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... training. This means designing observation spaces, action spaces, reward signals, and success ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... training. This means designing observation spaces, action spaces, reward signals, and success ...

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment. * Partners with GenAI and MLOps teams to understand and deliver on ...

Abbott

Sr. AI Integration Analyst

Madison, WI

$78K - $156K/yr

Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment. * Partners with GenAI and MLOps teams to understand and deliver on ...

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Builds and maintains data pipelines that expose structured enterprise data for AI model development, training, and deployment. * Partners with GenAI and MLOps teams to understand and deliver on ...

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All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in Madison, WI

Data Annotation Ai Trainer information

See Madison, WI salary details

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How much do data annotation ai trainer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data annotation ai trainer in Madison, WI is $24.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $26.63 per hour, depending on experience, location, and employer.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $51,846 per year, or $24.9 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Madison, WI • Remote

$90 - $120/hr

Part-time

Posted 21 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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