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Training Ai Models Jobs in Iowa (NOW HIRING)

ClifyX

Prinicipal AI Engineer

West Des Moines, IA · On-site

... training, validation, deployment, and monitoring. • Build large-scale, cloud-native AI systems using Azure/AWS/GCP. • Establish standards for model quality, reliability, interpretability, and ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

Ames, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

National Credit Center

AI Software Engineer II

Bettendorf, IA · On-site +1

$87K - $119K/yr

Understanding of databases and data modeling (SQL and/or NoSQL). * Strong analytical and problem ... Professional development opportunities and continuous training * A supportive, dynamic work ...

Hodge

AI Enablement Strategist

Dubuque, IA · On-site

... Training. The position does not build production solutions; it ensures the right problems are ... Model HODGE core values of Family, Integrity, Ambition, Respect, and Balance. Uphold, support, and ...

Hodge

AI Enablement Strategist

Dubuque, IA

... Training. The position does not build production solutions; it ensures the right problems are ... Model HODGE core values of Family, Integrity, Ambition, Respect, and Balance. Uphold, support, and ...

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All JobsTraining Ai Models JobsTraining Ai Models Jobs in Iowa

Training Ai Models information

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

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What cities in Iowa are hiring for Training Ai Models jobs? Cities in Iowa with the most Training Ai Models job openings:
Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Iowa as of August 2026, with employment types broken down into 8% Internship, 61% Full Time, 23% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Cedar Rapids, IA • Remote

$90 - $120/hr

Part-time

Posted 14 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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