Intern Annotation
2 months ago
ABOUT THE COMPANY
Climate change, biodiversity loss, environmental degradation, and malnutrition.
These four interconnected global crises have put at stake the wellbeing of our planet for years. Fueled by COVID-19, their impact on agriculture, landscapes, biodiversity, and humans is now stronger than ever.
Reversing this negative trend is a challenge, but also an opportunity for bold choices and integrated solutions.
Established in 2019, the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) was created to address these four crises, maximizing impact for change at key points in the food system.
JOB SUMMARY
About the InternshipThe 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.RequirementsCurrent enrollment in or recent graduation from a BSc or MSc program in Economics, Agricultural Economics, Agricultural Sciences, Environmental Science, or related fieldsStrong 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 toolsExposure to academic research methodologies, knowledge of python or other statistical software will be an added advantageApplications MUST include reference number RFP –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
RESPONSIBILITIES
Undergo training on Prodigy, a Python-based annotation toolReview and annotate assigned textual data in the agricultural research domain, identifying relevant named entitiesApply consistent annotation guidelines across all data sourcesParticipate 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 processMeet weekly annotation targets as set by the project coordinatorContribute to the refinement of annotation guidelines based on practical experience
REQUIRED SKILLS
Python, Data collection, Communication, Research planning
REQUIRED EDUCATION
Bachelor's degree
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