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Entry Level Ai Project Management Jobs (NOW HIRING)

... AI interaction. We're not just seeking to change how our cars and robots work - we're seeking to ... The Project Management specialist will be responsible for the daily administrative and operational ...

Join Galore Creative as an Entry-Level AI Content Writer and Ignite Your Career in the Exciting ... Ability to thrive in a team environment and adapt to evolving project requirements. * Passion for ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

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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 Jul 20, 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's the easiest AI job to get?

An entry-level AI project management role typically requires basic understanding of AI concepts, strong organizational skills, and familiarity with project management tools. Certifications like PMP or Agile can help, but prior experience in tech or data-related fields can also improve chances of securing such positions.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions usually involve overseeing AI projects, strategic planning, and managing teams, with compensation reflecting the seniority and impact of the role.

Which 3 jobs will survive AI?

Entry Level AI Project Management roles are likely to persist because they require human oversight, strategic decision-making, and communication skills that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and emotional intelligence, such as project managers, data analysts, and AI ethics specialists, are expected to remain in demand despite automation advances.

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.

Will AI take project management jobs?

Entry level AI project management roles involve coordinating AI projects, managing teams, and applying project management skills. While AI tools can automate certain tasks, human oversight, strategic planning, and communication remain essential, so AI is more likely to augment than replace project management jobs.

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.

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:
Infographic showing various Entry Level Ai Project Management job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,065 per year, or $39.5 per hour.
Agentic AI Project Experience Program - Remote

Agentic AI Project Experience Program - Remote

Sapsol Technologies Inc

OR • Remote

Other

Re-posted 27 days ago


Job description

Agentic AI Project Experience Program

Build Autonomous AI Workflows | Real Project | Portfolio-Ready

Location: Remote
Program Type: Project-Based Learning & Experience Program (Not a Job)
Duration: 8 Weeks (Weekend Cohort)

About the Program

We are introducing a next-generation, project-based program focused on Agentic AI and Workflow Automation.

As industries rapidly evolve from AI-assisted tools to Agent-driven systems, this program is designed to help participants build autonomous digital workers using modern (Gemini, etc.).

This is not a theoretical course - participants will work in a structured, simulated project environment, similar to real-world enterprise use cases.

What You Will Learn Phase 1: Foundations (Weeks 1-4)
  • Understanding Agent Architecture (LLMs, Memory, Tool Usage)
  • Building workflows using n8n (low-code AI orchestration)
  • API Integrations (LinkedIn, SerpAPI, Lusha, etc.)
  • Designing resilient workflows with logic, loops, and error handling
  • AI-driven data personalization and insights generation
Phase 2: Trace Secure Innovation Lab (Weeks 5-8)
  • Work on a real-world project challenge
  • Design and build a production-ready AI agent/tool
  • Collaborate in a team-based environment with mentors
  • Selected projects may be reviewed for deployment on internal platforms
Key Outcomes
  • Hands-on experience building Agentic AI workflows
  • Exposure to real-world automation use cases
  • Project-based learning aligned with enterprise needs
  • Opportunity to build a portfolio-ready capstone project
  • Certificate of completion upon successful participation
Who Can Apply
  • Individuals interested in AI, automation, or workflow design
  • Candidates with background in IT, business, analytics, or related fields
  • Beginners with strong interest in AI tools and automation
  • Professionals looking to upskill into AI-driven roles
Why This Program
  • Learn in-demand Agentic AI skills in weeks, not years
  • Focus on practical implementation, not just theory
  • Build real, usable AI solutions
  • Gain experience in a project-based consulting environment
Program Structure
  • Guided project execution with mentorship
  • Access to tools, workflows, and structured tasks
Additional Information

This is a paid, project-based experience program designed to provide hands-on exposure and practical skills. It is not an employment opportunity.( Candidate has to pay the fee to join this program )

How to Apply

If you are interested in building real AI agents and automation workflows, please apply with your updated resume with us at neelam@sapsol.com. Shortlisted candidates will be contacted with further details.