Freelance Data Labeler/Annotator

This role is ideal for someone looking to gain experience in data labeling and annotation, specifically focused on creating test datasets for a personal project. The position is remote and designed as a short-term, micro project, making it suitable for those seeking flexible, entry-level freelance work. The main objective is to accurately label and annotate data according to provided guidelines, ensuring the creation of high-quality test sets that will be used for further analysis or model training. Responsibilities Review and understand project guidelines for labeling and annotation tasks Accurately label and annotate data samples as per instructions Create and organize test datasets for evaluation purposes Ensure consistency and quality across all labeled data Communicate progress and flag any ambiguities or issues encountered during the process Complete the assigned tasks within the agreed timeframe Skills And Requirements Strong attention to detail and ability to follow precise instructions Basic understanding of data labeling and annotation concepts (training or guidance will be provided if needed) Reliable internet connection and ability to work remotely Good organizational skills and ability to manage small-scale projects independently Effective written communication skills for reporting progress or clarifying requirements Availability to complete the project within a few hours About Twine Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally. Our Mission Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.