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Ai Coding Jobs in Ohio (NOW HIRING)

BeyondTrust

Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows Nice To Have * Background in cybersecurity, identity security, or ...

Intermountain Health

PB Coding Supervisor

Columbus, OH · On-site

$34.26 - $53.96/hr

Primary oversight of daily coding functions including monitoring of Epic Coding WQs, in-basket ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Accenture

Applied AI Engineer, Founding Team

Cincinnati, OH · On-site

$73K - $218K/yr

Serve as an Anthropic / AI coding agent SMEacross internal teams and client-facing engagements * Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle ...

Accenture

Applied AI Engineer, Founding Team

Columbus, OH · On-site

$73K - $218K/yr

Serve as an Anthropic / AI coding agent SMEacross internal teams and client-facing engagements * Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle ...

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Ai Coding information

See Ohio salary details

$12

$31

$51

How much do ai coding jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai coding in Ohio is $31.39, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $37.93 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 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 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 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.

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.
What are the most commonly searched types of Ai Coding jobs in Ohio? The most popular types of Ai Coding jobs in Ohio are:
What are popular job titles related to Ai Coding jobs in Ohio? For Ai Coding jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Ohio look for? The top searched job categories for Ai Coding jobs in Ohio are:
Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Ohio as of August 2026, with employment types broken down into 56% Full Time, 27% Part Time, 6% Temporary, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $65,297 per year, or $31.4 per hour.

Staff AI Data Scientist

BeyondTrust

On-site, Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

We\'re looking for a Staff AI Data Scientist to design, build, and deploy machine learning models and AI-driven solutions that solve complex business problems. You\'ll work at the intersection of applied research, software engineering, and product — turning raw data into actionable insights and intelligent systems that ship to production.

What You’ll Do

  • Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases
  • Design experiments, define success metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, causal analyses)
  • Fine-tune, prompt-engineer, and evaluate large language models for domain-specific tasks
  • Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference
  • Collaborate with engineering, product, and business teams to translate ambiguous problems into well-scoped modeling solutions
  • Build monitoring and evaluation frameworks to track model performance, drift, and fairness over time
  • Communicate findings and recommendations to both technical and non-technical stakeholders through clear visualizations and written reports
  • Mentor other data scientists and help raise the bar for modeling rigor across the team

What You’ll Bring

  • Master\'s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
  • 3+ years of hands-on experience building and deploying ML models in production environments
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
  • Deep understanding of statistical modeling, experimental design, and evaluation methodology
  • Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models
  • Familiarity with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) and serving infrastructure
  • Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows

Nice To Have

  • Background in cybersecurity, identity security, or anomaly detection
  • Familiarity with adversarial ML or AI safety research
  • Contributions to open-source projects or published research

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

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