Student Job for Data Labeling - 10 hoursweek

We are Imagetwin a young passionate and diverse team working on an innovative AIbased solution to detect image fabrication plagiarism and manipulation in scientific publications. Join us on our mission and be part of an inclusive team dedicated to driving positive change in the scientific community.

Tasks

You will go through scientific articles containing imagerelated problems. Your task is to manually extract the problematic images from the PDFs and label issues. Your labels make the data machinereadable and we can use it as input for our machinelearning algorithms to automate the task.

Requirements

• Attention to detail
• Patience and reliability
• Proper time management
• Good communication in English

Benefits

• Hybrid officeremote work experience.
• Flexible working time with no core hours.
• Gross monthly salary of 700 (10 hours/week).
• A harmonic collaborative and inclusive startup environment.
• Your work is a critical contribution to improving the quality and trust in science.
• A central office with many perks including cake days gym access free tea/coffee and yoga lessons.
• You can come to the office outside work e.g. to study.

Plagiarism manipulation and AIgenerated images are severe threats to science. One out of five scientific publications contains problematic images. Imagetwin is available to universities publishers and journals to scan publications for imagerelated problems. Identified issues are flagged and displayed in our web application. Are you interested in working on this problem and helping us acquire data for our machinelearning algorithms We are happy to hear from you.