About the Role
The intern will assist in building and evaluating AI systems, working alongside engineers and data scientists to improve model accuracy and functionality through real-world data tasks.
Responsibilities
- Assist in training and testing machine learning models
- Support data collection and preprocessing workflows
- Contribute to documentation for AI pipelines
- Help evaluate model performance using defined metrics
- Participate in team meetings and technical discussions
- Perform data quality checks and error analysis
- Collaborate on improving labeling accuracy for training sets
- Support integration of AI models into testing environments
- Track progress on assigned tasks using project tools
- Follow best practices for data handling and version control
- Assist in identifying edge cases in model behavior
- Work with structured and unstructured data formats
- Support automation of repetitive model evaluation steps
- Contribute to internal knowledge-sharing sessions
- Maintain organized records of experiments and results
- Assist in preparing datasets for model retraining
- Follow security protocols for sensitive data access
- Use debugging tools to identify data pipeline issues
- Communicate findings to team members clearly
- Adapt to feedback during project iterations
- Engage in continuous learning of AI techniques
- Support version tracking for model outputs
- Assist in summarizing model behavior trends
- Work under supervision of senior team members
- Meet deadlines for assigned development cycles
Compensation
Competitive hourly rate
Work Arrangement
Hybrid
Team
Collaborative team environment with cross-functional projects
What You’ll Learn
- Gain practical experience in AI model development cycles
- Learn how real-world data impacts machine learning systems
- Understand the role of data quality in AI performance
- Observe collaboration between engineering and research teams
- Develop skills in analyzing model behavior and outputs
Our Commitment to Inclusion
- We value diverse perspectives in building AI solutions
- Team practices include inclusive meeting norms
- All voices are encouraged during brainstorming sessions
- We support equitable access to learning opportunities
- Workplace policies promote respectful collaboration
Not available
