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Ai Coding Jobs in Michigan (NOW HIRING)

Datavant

Profee Coding Consultant - PRN

Lansing, MI · On-site

$20 - $28/hr

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

Datavant

Profee Coding Consultant - Full Time

Lansing, MI · On-site

$20 - $28/hr

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

Varsity Tutors

Coding Tutor

Detroit, MI · Remote

$18 - $40/hr

... online Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Coding Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... online Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Coding Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... online Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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All JobsAi Coding JobsAi Coding Jobs in Michigan

Ai Coding information

See Michigan salary details

$11

$28

$47

How much do ai coding jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coding in Michigan is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $34.76 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How difficult is AI coding?

AI coding as a job involves understanding programming languages like Python, machine learning frameworks, and data handling, which can be challenging for beginners. It requires strong problem-solving skills, knowledge of algorithms, and often a background in mathematics or computer science. Continuous learning and practical experience are essential to become proficient in this field.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

What are the most commonly searched types of Ai Coding jobs in Michigan?

The most popular types of Ai Coding jobs in Michigan are:

What are popular job titles related to Ai Coding jobs in Michigan?

For Ai Coding jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Coding jobs in Michigan look for?

The top searched job categories for Ai Coding jobs in Michigan are:

What cities in Michigan are hiring for Ai Coding jobs?

Cities in Michigan with the most Ai Coding job openings:

Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $59,864 per year, or $28.8 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Grand Rapids, MI • Remote

$80 - $110/hr

Part-time

Posted 14 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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