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Entry Level Ai Project Management Jobs (NOW HIRING)

University of Minnesota

AI Project Manager

Minneapolis, MN · Hybrid

$36.06 - $40.39/hr

... Mgmt-Non IT) Employee Group: Civil Service Full/Part Time (FTE): Full time (1 FTE) About the Job: The Project Manager provides support and expertise to the universitys AI Hub, serving as the primary ...

ASI

Project Manager Signage

Atlanta, GA · On-site

$52K - $65K/yr

Create message schedules and location plans for Sales or Project Management teams using SignAgent, Excel, Adobe InDesign & AI. * Project manage multiple job assignments at the same time. Remuneration ...

ASI

Project Manager Signage

Atlanta, GA · On-site

$52K - $65K/yr

Create message schedules and location plans for Sales or Project Management teams using SignAgent, Excel, Adobe InDesign & AI. * Project manage multiple job assignments at the same time. Remuneration ...

Expedient

Project Coordinator

Cleveland, OH · On-site

$60K - $75K/yr

Manage client communication and expectations regarding new AI-powered solutions, including machine learning models, data analytics, and automation technologies * Schedule and facilitate project ...

DAP

Project Management Intern

Baltimore, MD · On-site

$17/hr

Developing a new project management schedule that compares waterfall and agile approaches ... Basic understanding of AI tools (e.g., Jasper, Copilot) and prompt design. * Communication ...

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All JobsEntry Level Ai Project Management Jobs

Entry Level Ai Project Management information

See salary details

$33K

$82.1K

$150.5K

How much do entry level ai project management jobs pay per year?

As of Jun 6, 2026, the average yearly pay for entry level ai project management in the United States is $82,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is an Entry Level AI Project Manager?

An Entry Level AI Project Manager is a professional who oversees and coordinates artificial intelligence projects, often assisting more senior project managers. Their responsibilities include organizing project tasks, communicating with team members, tracking timelines, and ensuring project goals are met. While they may not make strategic decisions, they play a vital role in supporting the project lifecycle, learning about AI technologies, and gaining experience in project management processes. Entry level roles typically require strong organizational skills, basic knowledge of AI concepts, and a willingness to learn on the job.

What are some common challenges faced by entry-level AI project managers, and how can they be addressed?

Entry-level AI project managers often encounter challenges such as aligning diverse technical teams, managing evolving project scopes, and communicating complex AI concepts to non-technical stakeholders. To address these, it's important to establish clear communication channels, utilize agile project management practices, and stay proactive in learning about AI technologies. Building strong relationships with data scientists, engineers, and business leaders will help bridge knowledge gaps and ensure project objectives remain on track.

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

To thrive as an Entry Level AI Project Manager, you generally need a background in project management principles, basic understanding of AI concepts, and at least a bachelor's degree in a relevant field such as computer science, business, or engineering. Familiarity with project management tools like Jira or Trello, as well as knowledge of collaboration platforms and, optionally, certifications like CAPM or Agile methodologies, is valuable. Strong organizational skills, clear communication, and the ability to coordinate diverse teams help you stand out in this role. These skills ensure projects are delivered on time, stakeholders are aligned, and AI initiatives are executed efficiently in a fast-evolving environment.

What is the difference between Entry Level Ai Project Management vs Data Analyst?

AspectEntry Level Ai Project ManagementData Analyst
Required CredentialsBachelor's in Computer Science, Business, or related field; basic understanding of AI conceptsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams managing AI projects, coordinating between technical and non-technical stakeholdersAnalyzing data sets, creating reports, supporting decision-making processes
Employer & Industry UsageTech companies, startups, AI-focused organizationsFinance, healthcare, marketing, and various industries relying on data insights

While both roles require analytical skills and familiarity with data, Entry Level Ai Project Management focuses on coordinating AI projects and managing teams, whereas Data Analysts primarily analyze data to generate insights. The project management role emphasizes communication and organization, while data analysis emphasizes technical data skills.

More about Entry Level Ai Project Management jobs
What cities are hiring for Entry Level Ai Project Management jobs? Cities with the most Entry Level Ai Project Management job openings:
What are the most commonly searched types of Ai Project Management jobs? The most popular types of Ai Project Management jobs are:
What states have the most Entry Level Ai Project Management jobs? States with the most job openings for Entry Level Ai Project Management jobs include:
What job categories do people searching Entry Level Ai Project Management jobs look for? The top searched job categories for Entry Level Ai Project Management jobs are:
Entry Level Ai Project Management jobs near you
Infographic showing various Entry Level Ai Project Management job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $82,065 per year, or $39.5 per hour.
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

Full-time

Posted 9 days ago

Job description

Salary: $20-$23/hour

AI Engineer (Entry-Level) Agents & Experimentation


For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.


We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.

You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.



What Youll Do

  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation



What Were Looking For

  • Bachelors degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset



Nice to Have

  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects


Note: AI Projects Portfolio Request

Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.


uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.