Data Annotator Intern

Sinar Mas Agribusiness and Food; Jakarta Utara; On-site; Full time

Job description

• 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.
• 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.