AI Capability Hub Intern

General Motors

. Identify and document business use cases for AI and automation .

Posted 10/28/2026full-timeTaguig City • PhilippinesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in AI and automation use cases, data analysis, and Google Workspace applications. Capable of building prototypes, collaborating with teams, and presenting findings effectively.

Highest-signal resume keywords

Google WorkspaceData AnalysisAI TechnologiesPrototypingCollaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData OrganizationAnalyticsAutomationPrototypingAI ToolsPythonPower BIKNIMEGenerative AI

Soft Skills

Problem-SolvingAnalytical AbilitiesWritten CommunicationPresentation SkillsTeamwork

Tools & Technologies

Google WorkspacePower BIPythonKNIMEGenerative AI Tools

Industry Keywords

AIAutomationData ScienceInformation SystemsEngineering

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Identify and document business use cases for AI and automation
Build and test prototypes, proofs of concept, and demos using approved GM AI tools
Use Google Workspace to document work, track projects, and collaborate
Build simple automations and workflows using Google Workspace tools and AI-assisted features
Gather, clean, and organize data for analytics and AI-enabled solutions
Contribute to dashboards and reports tracking AI initiative adoption and value
Research emerging AI technologies and summarize findings and best practices
Create documentation, user guides, and training materials
Support intake and tracking of AI project requests and status reporting
Learn data flows from source systems to reporting and analytics solutions
Collaborate with team members, business partners, and IT under mentor guidance
Present a project or findings to the team at the end of the term
Participate in team engagement initiatives

Requirements

What you’ll need

Currently pursuing a Bachelor's or Master's degree in information systems, data science, computer science, business, engineering, or a related field
No prior professional experience required; internships, coursework, or personal projects in analytics or AI are a plus
Working knowledge of Google Workspace and its applications
Exposure to Power BI, Python, KNIME, Copilot/generative AI tools, or automation platforms is a plus
Curiosity and passion for AI, innovation, and automation
Basic understanding of data analysis concepts
Strong computer skills and eagerness to learn new technologies
Willingness to take on new tasks, attend training, and learn from feedback
Good problem-solving and analytical abilities
Basic written communication and presentation skills
Ability to work both independently and in a team
Ability to work mid shift (3pm to 12am)
Must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Hybrid work arrangement
Training and learning opportunities
Mentorship and guidance from team members
Team engagement initiatives
Reasonable accommodations for applicants with disabilities