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
How To Apply
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 2024
