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Research & Development Intern
Remote / Hybrid
Volunteer
Research & Development
About the Role
Support the development and training of AI models across NLP and Vision. Gain real-world experience working alongside senior Research & Development Scientists on impactful projects. This internship provides an excellent opportunity to learn from experienced researchers while contributing to meaningful AI research initiatives.
Responsibilities
- Assist in developing and implementing AI models
- Participate in data collection and preprocessing
- Contribute to model training and evaluation
- Document research findings and methodologies
- Collaborate with team members on research projects
- Attend research meetings and presentations
- Learn and apply best practices in AI research
Requirements
- Foundational knowledge in machine learning and deep learning
- Experience with Python and ML libraries
- Eagerness to learn and contribute to ongoing research
- Strong work ethic and teamwork skills
- Currently pursuing or recently completed a degree in Computer Science or related field
- Basic understanding of data structures and algorithms
- Ability to work independently and meet deadlines
Preferred Qualifications
- Experience with deep learning frameworks
- Knowledge of computer vision or NLP concepts
- Experience with version control systems
- Strong mathematical background
- Previous research experience
- Experience with cloud computing platforms
Benefits
- Hands-on experience with cutting-edge AI research
- Mentorship from experienced researchers
- Opportunity to contribute to real-world projects
- Networking with AI professionals
- Flexible work schedule
- Professional development opportunities
- Potential for future full-time opportunities
Job Details
Information about this position
Department
Research & Development
Location
Remote / Hybrid
Employment Type
Volunteer
Salary Range
Volunteer Position
Posted Date
April 20, 2025
Application Deadline
June 20, 2025
Our Hiring Process
1
Application Review
We review your CV, publications, and cover letter
2
Initial Interview
Virtual interview with the hiring manager
3
Technical Assessment
Research presentation or technical challenge
4
Final Interviews
Meet with team members and leadership