Albers Aerospace is seeking to solve the problem of aggregating and generating training datasets for their AI team
Requirements
- Familiarity with Python, Excel, or data annotation tools
- Experience with large datasets or any coursework in data science
Responsibilities
- Assist in sourcing, labeling, and organizing data for AI training
- Collaborate with engineers and data scientists to prepare datasets
- Follow established data quality protocols and contribute to process improvements
- Perform routine validation and cleanup of data pipelines
- Participate in team meetings and discussions
Other
- A current undergraduate student in engineering, computer science, statistics, or a related STEM field
- Organized, dependable, and able to follow detailed instructions
- A U.S. Citizen (required due to data handling regulations)
- Must be able to pass a background security check
- Able to commit 20–30 hours per week with a flexible schedule that works around your classes
