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Entry Level Ai Manager Jobs (NOW HIRING)

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... A track record of organizing people or projects: leading a group, running an event, managing a team ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... A track record of organizing people or projects: leading a group, running an event, managing a team ...

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... A track record of organizing people or projects: leading a group, running an event, managing a team ...

AI Developer (Entry Level) City: Charlotte, Dallas, Jersey City, Pennington, St Louis State ... Conferring with project managers to obtain information on software capabilities 2. Perform coding ...

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Entry Level Ai Manager information

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$25K

$47.8K

$68.5K

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

As of Aug 13, 2026, the average yearly pay for entry level ai manager in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

How does an entry level AI manager typically collaborate with data scientists and engineers on a project?

As an Entry Level AI Manager, you will often act as a bridge between technical teams such as data scientists and engineers, and non-technical stakeholders. Your role involves organizing project tasks, facilitating communication, and ensuring that everyone is aligned on objectives and deadlines. You'll participate in regular meetings, help clarify project requirements, and support team members in overcoming roadblocks. This collaborative environment is a great opportunity to learn from experienced professionals while developing your own leadership and project management skills.

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

To thrive as an Entry Level AI Manager, you need a solid understanding of artificial intelligence principles, data analysis, and project management, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python), AI frameworks (like TensorFlow or PyTorch), and basic cloud platforms is commonly expected. Strong communication, problem-solving, and adaptability are essential soft skills for collaborating with technical teams and stakeholders. These skills and qualities are crucial for effectively guiding AI projects, ensuring technical accuracy, and aligning outcomes with organizational goals.

How to get into entry-level AI manager?

To enter an entry-level AI manager role, candidates typically need a bachelor's degree in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and experience with AI tools and frameworks. Gaining relevant internships or project experience can also improve prospects. Developing leadership and project management skills is beneficial for advancement in this role.

What is an entry level AI manager?

Entry level AI managers are professionals who oversee projects and teams involved in artificial intelligence (AI) initiatives, typically at the beginning stages of their management careers. They help plan, coordinate, and monitor AI-related tasks, working closely with data scientists, engineers, and other stakeholders to ensure projects meet objectives and deadlines. While they may not have extensive management experience, they often have a background in AI, data science, or computer science, and are developing their leadership and project management skills. Entry level AI managers play a key role in bridging technical teams and business goals, ensuring the successful implementation of AI solutions.

What is the most entry-level AI manager job?

An entry-level AI manager role typically involves overseeing small AI projects, coordinating data science teams, and supporting AI development efforts. Candidates often need foundational knowledge of machine learning, programming skills in Python or similar languages, and familiarity with AI tools and frameworks. Such positions may require a bachelor's degree in a related field and are suitable for those starting their careers in AI management.
More about Entry Level Ai Manager jobs
What are the most commonly searched types of Ai Manager jobs? The most popular types of Ai Manager jobs are:
What states have the most Entry Level Ai Manager jobs? States with the most job openings for Entry Level Ai Manager jobs include:
What job categories do people searching Entry Level Ai Manager jobs look for? The top searched job categories for Entry Level Ai Manager jobs are:
Infographic showing various Entry Level Ai Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Entry-Level AI & Preconstruction Technology Coordinator

Butler Recruitment Group

Cleveland, OH

$45K - $60K/yr

Full-time

Posted 20 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