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Ai Contractor Jobs in Ohio (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Dayton, OH · Remote

$70 - $90/hr

Contractor Location: Remote micro1 is engaging Microbiologists to contribute their scientific ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...

micro1 AI

AI Trainer - Microbiology Expert

Toledo, OH · Remote

$70 - $90/hr

Contractor Location: Remote micro1 is engaging Microbiologists to contribute their scientific ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...

micro1 AI

AI Trainer - Microbiology Expert

Akron, OH · Remote

$70 - $90/hr

Contractor Location: Remote micro1 is engaging Microbiologists to contribute their scientific ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...

micro1 AI

Computational Biologist - AI Reviewer

Akron, OH · On-site +1

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Computational Biology Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

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Ai Contractor information

What is an AI contractor?

AI contractors are professionals or companies hired on a contract basis to develop, implement, or maintain artificial intelligence (AI) solutions for organizations. They typically possess expertise in AI technologies such as machine learning, natural language processing, or computer vision. AI contractors may assist with tasks like building custom AI models, integrating AI into existing systems, or providing technical consultation. Their work helps businesses leverage AI capabilities without needing to hire full-time, in-house specialists.

How does an AI contractor typically collaborate with in-house teams during a project?

AI Contractors often work closely with in-house teams such as software developers, data scientists, and project managers to ensure seamless integration of AI solutions. Communication is key, as contractors must align their work with existing workflows and company objectives, often participating in regular meetings and code reviews. They may also provide documentation and training to help internal staff maintain and scale the implemented AI systems after the contract ends. Establishing clear expectations and frequent updates helps promote a productive partnership and project success.

What are the key skills and qualifications needed to thrive as an AI contractor, and why are they important?

To thrive as an AI Contractor, you need expertise in machine learning, data analysis, programming (often Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and certifications in AI or data science are typically expected. Strong problem-solving abilities, project management skills, and effective communication help you excel when collaborating with clients and stakeholders. These skills and qualities are essential for delivering successful AI solutions that meet business objectives and adapt to evolving technologies.

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

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

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

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

What cities in Ohio are hiring for Ai Contractor jobs?

Cities in Ohio with the most Ai Contractor job openings:

Ai Contractor jobs near you
Infographic showing various Ai Contractor job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI Engineer, Agentic Systems - W2 Role

SVATS

Columbus, OH • On-site

$97K - $133K/yr

Other

Posted 10 days ago

Job description

Role: Senior AI Engineer, Agentic Systems – W2 Role

Location: Columbus, OH / Plano, TX (Onsite)

H1B transfers are acceptable

Position Summary

We are seeking a Senior AI Engineer, Agentic Systems to design, build, and operate production-grade agentic AI solutions for enterprise-scale use cases. This role requires hands-on experience shipping AI systems into production, operating them reliably, debugging real-world failure modes, and exposing enterprise capabilities as tools or skills for LLM-powered agents. The ideal candidate combines strong Python engineering, practical agent orchestration experience, and the ability to partner with business stakeholders to own use cases from concept through production delivery.

Required Qualifications
  • 7+ years of software engineering experience, with demonstrated experience building and shipping production systems.
  • Hands-on production experience with agentic AI or GenAI applications, including deployment, monitoring, debugging, and operating agents at scale.
  • Strong Python engineering skills, with the ability to work effectively in production AI and agentic system environments.
  • Java experience or willingness to work daily within a Java service layer, especially where enterprise systems require integration with existing backend services.
  • Experience with agent frameworks and orchestration technologies, including LangChain and/or LangGraph.
  • Familiarity with production infrastructure for AI systems, including Kubernetes-based deployment environments.
  • Ability to explain shipped system architecture and failure modes, including what was deployed, how it was monitored, where it failed, and how issues were resolved.
  • Comfort working in a senior contract delivery model where the expectation is faster delivery and limited ramp-up investment.
Preferred Qualifications
  • Experience with LangGraph as a production orchestration layer.
  • Experience with vLLM or comparable model-serving infrastructure.
  • Experience in regulated-industry or financial-services technology environments, especially where enterprise scale and production-path stakes are important.
  • Experience working with business stakeholders to deliver end-to-end AI use cases, not only platform or prototype work.
  • Ability to operate in an onsite or hybrid delivery model, especially in a market such as NYC where the attachment notes a deeper finance-AI contractor pool.

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