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Data Mining Intern
External job listingat The GAO Group
About the role The GAO Group, USA & Canada, is headquartered in New York City, USA, and Toronto, Canada. Its member companies are leading suppliers of advanced electronics and network pro...
External source - not verified10 days agoOpen until: Jan 10, 2027
Salary
Not provided
Location
United States, United States
Employment type
Internship
Workplace
Not provided
Data Mining Intern
United States, United States
Job description
About the role
The GAO Group, USA & Canada, is headquartered in New York City, USA, and Toronto, Canada. Its member companies are leading suppliers of advanced electronics and network products for engineers worldwide.
Join us as a Data Mining Intern and gain practical exposure to AI research, workflow testing, and data-related tasks.
Tasks
- Assist with AI research and development activities.
- Support AI workflow testing and automation projects.
- Research emerging AI tools and technologies.
- Help organize, analyze, and manage data-related tasks.
- Collaborate with team members on innovation-driven projects.
- Participate in brainstorming sessions and technical discussions.
Requirements
- Currently pursuing or recently completed studies in Computer Science, Artificial Intelligence, Data Science, IT, or a related field.
- A basic understanding of AI or Machine Learning concepts.
- Strong problem-solving and analytical skills, good communication, and teamwork abilities.
- Familiarity with Python, AI tools, ChatGPT, automation tools, or prompt engineering is an advantage.
- Students or recent graduates interested in AI, data, and technology research.
- Candidates with analytical and problem-solving skills and a basic understanding of AI or Machine Learning.
- Proactive team players who are eager to learn and adapt in a startup environment.
- Candidates familiar with Python, AI platforms, ChatGPT, automation, or prompt engineering are encouraged to apply.
Schedule
- Duration: 3–6 Months
Benefits
- Hands-on experience in AI-focused projects.
- A flexible remote work environment.
- Mentorship and learning opportunities.
- Exposure to a startup environment and collaborative culture.
Location
- Remote