Summary
Modern Intelligence is seeking two Data Labeling Interns to contribute to their machine learning and artificial intelligence projects. As an intern, you will be responsible for data labeling, QA/QC, collaborating with cross-functional teams, and supporting machine learning and software engineering projects during low activity periods. Requirements include a degree in Computer Science or related field, strong attention to detail, basic understanding of data labeling concepts, excellent communication skills, and Python programming experience.
Requirements
- Currently pursuing a B.S./B.A./M.A. degree, or a recent graduate, in Computer Science, Geospatial Science, Geography, or a related field
- Strong attention to detail and the ability to maintain high levels of accuracy
- Basic understanding of data labeling concepts and techniques
- Excellent communication and collaboration skills
- Python programming experience
Responsibilities
- Annotate and label data according to specified guidelines and criteria
- Ensure the accuracy and consistency of labeled data
- Perform QA/QC functions to improve data quality
- Oversee the implementation, maintenance, and optimization of the data labeling SDK
- Collaborate with cross-functional teams to understand project requirements
- Report any issues or inconsistencies encountered during the labeling process
- Work with data labeling tools and platforms to efficiently label data
- Support machine learning and software engineering projects during periods of low data labeling activity
Preferred Qualifications
- Familiarity with machine learning concepts (e.g., object detection, segmentation, classification)
- Geospatial and remote sensing experience (e.g., satellite, aerial, drone)
Benefits
- $17 - $22 an hour
- Hands-on experience in data labeling for machine learning projects
- Exposure to cutting-edge technologies and AI applications
- Opportunity to work in a dynamic and innovative environment
- Mentorship from experienced AI Research Scientists and Machine Learning Engineers
