Intern Annotation

About the Internship

The Alliance is currently working on improving the accuracy of large language models to extract relevant information from scientific text. However, the agricultural research domain has a lower amount of annotated textual data, making it a low-resource domain. To ensure the AI models are as accurate as possible and to promote the reproducibility of our research, the Alliance needs to annotate a corpus of textual data for training and testing the models. We are seeking BSc or MSc level Economics students to assist in annotating textual data for a Named Entity Recognition (NER) project focused on economics. The data sources include scientific publications, reports, and news media.

Key Responsibilities

Undergo training on Prodigy, a Python-based annotation tool
Review and annotate assigned textual data in the agricultural research domain, identifying relevant named entities
Apply consistent annotation guidelines across all data sources
Participate in regular quality assurance checks to uphold high standards for data quality and annotation consistency.
Contribute to research and analysis to identify trends and patterns in the annotated data.
Report any issues or ambiguities encountered during the annotation process
Meet weekly annotation targets as set by the project coordinator
Contribute to the refinement of annotation guidelines based on practical experience

Requirements

Current enrollment in or recent graduation from a BSc or MSc program in Economics, Agricultural Economics, Agricultural Sciences, Environmental Science, or related fields
Strong analytical and research skills, with a keen eye for detail.
Understanding of economic and agricultural concepts and terminology.
Fluency in English and excellent communication and interpersonal skills.
Basic computer literacy and ability to learn new software tools
Exposure to academic research methodologies, knowledge of python or other statistical software will be an added advantage

Applications MUST include reference number RFP 103896 –Intern Annotation as the position applied for. Cover letter and CV should be saved as one document using the candidate’s last name, first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.Applications closing date: 2nd August 202

Apply via :

al.zohorecruit.eu