Remote Internship Opportunity:
Acoustic Data Annotation for Marine Bioacoustics and
Artificial Intelligence Research
Mote’s Fisheries Habitat Ecology & Acoustics Program is seeking a detail-oriented intern to assist with the annotation of fish vocalizations from underwater acoustic recordings collected throughout Florida marine environments. This remote internship supports ongoing research in fish behavior, passive acoustic monitoring, and the development of artificial intelligence tools for automated species detection.
The intern will use Raven Pro acoustic analysis software to review recordings, identify and
annotate fish calls, and help create training datasets used to develop machine-learning models.
These models are being designed to automatically detect and classify fish sounds for marine
research, conservation, and ecosystem monitoring.
The project involves reviewing a large archive of underwater recordings containing thousands of
fish vocalizations. While the work can be repetitive and requires patience and attention to detail,
it provides an opportunity to contribute directly to research at the intersection of marine science
and artificial intelligence.
Interns will gain experience in:
- Passive acoustic monitoring and fish bioacoustics
- Underwater soundscape analysis
- Acoustic data management and quality control
- Machine-learning training dataset development
- Applications of artificial intelligence in ecological monitoring
Requirements:
- Access to a personal computer capable of running Raven Pro software
- Reliable internet connection
- Ability to work independently and maintain careful attention to detail
- Interest in marine science, ecology, acoustics, data science, or artificial intelligence
A Raven Pro software license will be provided for the duration of the internship.
Outstanding interns may be recognized or acknowledged in future scientific presentations,
reports, or publications, depending on the nature and extent of their contributions.
Duration: Approximately 4–12 weeks (flexible)
Location: Remote
Supervisor: Dr. James V. Locascio, Senior Scientist, Mote Marine Laboratory
Undergraduate and graduate students are encouraged to apply.
