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Entry Level Ai Engineer Jobs in Ohio (NOW HIRING)

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Entry Level Controls Engineer

Toledo, OH · On-site

$82K - $106K/yr

*Must be okay with travel Entry Level Position: College Graduate - 2 years experience This is a ... Architect custom solutions using the appropriate technologies from control databases to AI to User ...

SynergisticIT is considering candidates for entry-level Java developer, Python developer, software programmer, data analyst, data engineer, data scientist, and ML/AI programmer paths. This ...

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Entry Level Ai Engineer information

See Ohio salary details

$28.5K

$65.9K

$112.2K

How much do entry level ai engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level ai engineer in Ohio is $65,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $74,600.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

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

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
What are the most commonly searched types of Ai Engineer jobs in Ohio? The most popular types of Ai Engineer jobs in Ohio are:
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What job categories do people searching Entry Level Ai Engineer jobs in Ohio look for? The top searched job categories for Entry Level Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Ai Engineer jobs? Cities in Ohio with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $65,942 per year, or $31.7 per hour.

Entry-Level AI & Preconstruction Technology Coordinator

Butler Recruitment Group

Cleveland, OH

$45K - $60K/yr

Full-time

Posted 3 days ago


Job description

That is a crucial clarification, and it completely changes the strategy. In the $45,000 to $60,000 salary range, you cannot hire a software engineer to code custom machine learning algorithms from scratch-and for most regional construction firms, you don't actually need one. At this price point, we are shifting the target from an AI Software Architect to an Entry-Level AI Implementer & Data Coordinator. You are looking for a tech-savvy recent graduate or junior analyst-a "power user" who will take existing, off-the-shelf AI software (like Togal.AI, Document Crunch, Bluebeam AI, and advanced ChatGPT/Claude prompting) and do the digital legwork to make your estimating operations 5x faster. Here is how the expectations change at this budget, followed by a completely rewritten job description designed to attract hungry, ambitious entry-level tech talent in Cleveland. How the Strategy Changes for $45k-$60k Attribute Previous Strategy ($115k+) New Strategy ($45k-$60k)

Candidate Profile Experienced Data Scientist / ML Engineer Recent College Grad, Junior IT, or Tech-Savvy Career Changer

Technical Focus Coding custom AI models & RAG pipelines from scratch Mastering off-the-shelf AI construction tools & advanced prompting

Data Role Architecting vector databases and cloud pipelines Organizing Excel sheets, cleaning historical bids, & manual data entry/export

Daily Value Building proprietary software Doing digital heavy-lifting so senior estimators can focus on pricing

Job Title: Entry-Level AI & Preconstruction Technology Coordinator Location: Cleveland, OH (100% On-Site) Department: Executive / Preconstruction Reports To: President & Owner Employment Type: Full-Time Compensation: $45,000 - $60,000 (commensurate with skills and aptitude) About the Role We are looking for an ambitious, tech-savvy AI & Preconstruction Technology Coordinator to help us modernize our commercial construction estimating operations. No prior construction experience is required. If you are fascinated by artificial intelligence, data organization, and new software tools, we will teach you the business of commercial construction from the ground up. Working 100% on-site at our Cleveland headquarters, you will report directly to the President & Owner. This is an exceptional launchpad for a junior professional who wants to bypass corporate bureaucracy and work hand-in-hand with executive leadership. You will act as our internal "tech pilot"-learning, testing, and running cutting-edge AI construction software to help our estimating team automate quantity takeoffs, analyze project specifications, and organize decades of historical cost data. What You Will Do 1. Operate AI Estimating Software

  • Automate Takeoffs: Learn and operate industry-leading AI takeoff software (such as Togal.AI, Bluebeam Revu, or Kreo) to rapidly generate initial 2D measurements and square footage counts from architectural blueprints.
  • Specification Analysis: Use large language model (LLM) tools and specialized software (like Document Crunch or ChatGPT Enterprise) to scan massive 500-page project specification books, searching for key terms, risks, insurance requirements, and unusual exclusions.
  • Software Champion: Act as the internal go-to expert for all preconstruction software, troubleshooting day-to-day issues and helping traditional estimators utilize new digital tools. 2. Data Cleanup & Organization
  • Build Cost Spreadsheets: Take historical project bids, subcontractor quotes, and paper notes, and input them into clean, standardized Excel spreadsheets or internal databases.
  • Track Local Pricing: Maintain a running digital ledger of Northeast Ohio regional material costs, labor rates, and subcontractor pricing trends to help the team bid more accurately.
  • File Management: Organize digital blueprint files, addenda, and RFIs (Requests for Information) within our project management software (Procore, Autodesk Construction Cloud, or network drives) so the estimating team has instant access to clean data. 3. Direct Support to the Owner & Estimating Team
  • Shadow Senior Estimators: Sit alongside veteran construction professionals to learn how buildings are priced, assembled, and won in the competitive Cleveland market.
  • Process Improvement: Continuously look for simple ways to save time using technology-whether that means writing an Excel macro, creating a better email template for subcontractor outreach, or automating a reporting workflow. What You Bring to the Team Required Qualifications
  • Education: Associate's or Bachelor's degree in Business Administration, Information Technology, Data Analytics, Construction Management, or general studies (or equivalent self-taught technical aptitude / bootcamp completion).
  • Experience: 0-2 years of professional ex