Annotate image datasets by following established annotation guidelines and labeling standards.
Perform self-review and peer review to ensure annotation accuracy and consistency before submission for model training.
Monitor and report personal annotation metrics, including daily throughput and annotation complexity.
Contribute to the development and improvement of annotation guidelines and labeling schemes.
Help ensure annotation procedures are well understood and consistently implemented.
Utilize annotation platforms and computer tools to complete annotation tasks efficiently.
Requirements
Final-year students (with NO remaining classes) or fresh graduates from Computer Science, Information Systems, Information Technology, Data Science, Statistics, or related majors.
Available to commit to a 2-MONTH internship.
Experience using annotation platforms (e.g., Label Studio, LabelMe, CVAT) is preferred.
Proficient in Microsoft Excel for data processing.
Familiar with data formats such as JSON, CSV, and XML.
Able to understand and follow technical documentation and annotation guidelines.
Detail-oriented with strong consistency and discipline.- Good communication and time management skills.
High integrity and able to maintain data confidentiality.
