Data Labeler
Modern Intelligence
π΅ $35k-$45k
πUnited States
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Job highlights
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
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