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Ai Model Training Jobs in Rochester, MN (NOW HIRING)

micro1 AI

Transactional Counsel

Rochester, MN · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Technology Transactions Counsel

Rochester, MN · On-site +1

$350K - $410K/hr

The ideal candidate has exceptional academic credentials, strong foundational legal training, and a ... Develop a deep understanding of the company's products, business model, technical environment, and ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

... large language models, etc., to lead the design, development, and deployment of end-to-end AI ... training and education to healthcare staff on AI tools and technologies. • Contributing to ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

... large language models, etc., to lead the design, development, and deployment of end-to-end AI ... Providing training and education to healthcare staff on AI tools and technologies. Contributing to ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

... large language models, etc., to lead the design, development, and deployment of end-to-end AI ... Providing training and education to healthcare staff on AI tools and technologies. Contributing to ...

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All JobsAi Model Training JobsAi Model Training Jobs in Rochester, MN

Ai Model Training information

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How much do ai model training jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai model training in Rochester, MN is $31.89, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $39.81 per hour, depending on experience, location, and employer.

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

What are popular job titles related to Ai Model Training jobs in Rochester, MN?

For Ai Model Training jobs in Rochester, MN, the most frequently searched job titles are:

What cities near Rochester, MN are hiring for Ai Model Training jobs?

Cities near Rochester, MN with the most Ai Model Training job openings:

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Rochester, MN as of August 2026, with employment types broken down into 51% Full Time, 35% Part Time, and 14% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $66,322 per year, or $31.9 per hour.

Transactional Counsel

micro1 AI

Rochester, MN • Remote

$90 - $130/hr

Part-time

Posted 17 days ago

Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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