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Ai Model Training Jobs in Ohio (NOW HIRING)

US Bank

Senior AI/ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

Establish and execute AI model lifecycle management practices including model training, evaluation, validation, monitoring, retraining, versioning, and performance optimization. * Design and ...

Data Direct Networks

$120 - $190/hr

What You'll Do Partner with customers to understand their critical data challenges--high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion Translate ...

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop. * Evaluate Large Language Models and ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop. * Evaluate Large Language Models and ...

The Hartford

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

Develop and operate batch and near-real-time data/AI pipelines for model training, feature generation, inference, post-processing, business rules integration, and downstream consumption. Deploy and ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... model training, validation, and inference Collaborate with ML engineers and data scientists to ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

... model training, validation, and inference Collaborate with ML engineers and data scientists to ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

NEURA Robotics

$70 - $90/hr

... efficient model training. You play a critical role in enabling high-quality AI systems by ... transforming raw data into structured, reliable training datasets. * Design, build, and maintain ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... model training, validation, and inference · Collaborate with ML engineers and data scientists to ... AI projects · Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop) · ...

Visa Hunt

$165 - $234/hr

Work independently and asynchronously to meet deadlines while improving AI model performance ... Prior experience with AI training, evaluation, or human‑data projects. #J-18808-Ljbffr

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Ai Model Training information

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 the most commonly searched types of Ai Model Training jobs in Ohio?

The most popular types of Ai Model Training jobs in Ohio are:

What are popular job titles related to Ai Model Training jobs in Ohio?

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

What job categories do people searching Ai Model Training jobs in Ohio look for?

The top searched job categories for Ai Model Training jobs in Ohio are:

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Cities in Ohio with the most Ai Model Training job openings:

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Senior AI/ML Software Engineer

Cincinnati, OH • On-site

US Bank
Banking and Credit Intermediation • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 362 frontline employees who took The Breakroom Quiz

52nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students

Learn more about US Bankexternal

$117K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description
This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.
Essential Responsibilities:
  • Design, develop, train, fine-tune, deploy, and maintain Machine Learning models, Generative AI solutions, and Large Language Models (LLMs) to support enterprise business use cases.
  • Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, Azure AI Search, and enterprise knowledge repositories.
  • Develop and manage Agentic AI systems utilizing workflow orchestration, tool invocation, multi-agent collaboration, guardrails, and frameworks such as LangChain and LangGraph.
  • Establish and execute AI model lifecycle management practices including model training, evaluation, validation, monitoring, retraining, versioning, and performance optimization.
  • Design and implement cloud-native AI platforms and services using Python, Java, Docker, Kubernetes, and Azure AI services to support scalable and resilient production workloads.
  • Build and maintain AI-powered APIs, microservices, integrations, and data pipelines that enable seamless consumption of AI capabilities across applications and business processes.
  • Ensure compliance with Responsible AI, Model Risk Management, security, privacy, governance, and regulatory requirements while operating within a highly regulated financial services environment.
  • Partner with product, engineering, data science, business, and governance teams to define AI solutions, communicate technical decisions, and drive innovation through prototypes and production-ready architectures.
Basic Qualifications
  • Bachelor's degree, or equivalent work experience
  • Five to six years of relevant experience
Preferred Skills/Experience
  • Strong software engineering expertise in Python, Java, and object-oriented application development, with the ability to design, build, test, deploy, and maintain scalable software solutions.
  • Hands-on experience building Generative AI solutions, Machine Learning Models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI evaluation techniques, Model Risk Management, and production-grade AI applications.
  • Experience developing Agentic AI systems leveraging multi-step reasoning, workflow orchestration, tool invocation, guardrails, and modern frameworks such as LangChain and LangGraph.
  • Proficiency with Vector Databases and semantic search technologies including Azure AI Search, enabling AI-powered retrieval and knowledge solutions.
  • Experience designing and implementing cloud-native, containerized applications using Docker, Kubernetes, and modern cloud platforms and AI services.
  • Strong understanding of software architecture, algorithms, data structures, design patterns, scalability, reliability, performance optimization, and software reliability engineering (SRE) practices.
  • Knowledge of responsible AI, data privacy, security, compliance, and governance principles, with the ability to implement AI solutions in regulated environments.
  • Experience building data-driven APIs, services, and integrations, with exposure to Knowledge Graphs, graph databases, and modern user interfaces such as React.
  • Proven ability to collaborate effectively across engineering, product, data, business, and stakeholder teams, translating requirements into well-designed technical solutions and communicating design decisions, risks, and outcomes.
  • Demonstrated passion for technology innovation, continuous learning, and experimentation with emerging AI technologies, contributing prototypes, proofs of concept, and improvements that enhance customer and employee experiences.

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

U.S. Bank logo

About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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