Project Epsilon - Somali Data Trainer

Accountabilities: The Somali Data Trainer will support AI data training initiatives by reviewing image-based tasks, providing accurate annotations, and maintaining high-quality standards throughout project assignments. Review pre-assigned questions alongside corresponding images and determine accurate answers based solely on the visual information provided. Analyze image content carefully to identify relevant details required to produce reliable “golden” answers. Create clear, consistent, and accurate responses following project-specific instructions and evaluation guidelines. Identify and report unclear, corrupted, or incomplete images that prevent accurate task completion. Maintain quality and consistency across assigned batches of data annotation tasks. Follow detailed project guidelines, rubrics, and workflows to ensure reliable data output. Complete assigned tasks independently while meeting quality and productivity expectations. Contribute to the improvement of AI systems by providing high-quality language and visual data expertise. Requirements: The ideal candidate will have strong Somali language proficiency, excellent attention to detail, and the ability to follow structured instructions in a remote working environment. Native or strong professional proficiency in Somali. Fluent English proficiency, particularly in reading and writing. Bachelor’s degree required. Strong attention to detail with a commitment to accuracy and consistency. Ability to interpret visual information and provide precise written responses. Ability to follow detailed instructions and apply guidelines consistently. Reliable access to a computer and stable internet connection. Previous experience in data annotation, data labeling, quality review, AI training, or similar fields is an advantage. Ability to work independently and manage assigned tasks effectively. Benefits: Remote freelance opportunity with flexible scheduling. Approximately 10 hours per week with the possibility of long-term project engagement. Competitive compensation of $24/hour . Ability to choose when and how much you contribute based on project availability. Opportunity to gain experience working on AI training and data quality projects. Access to optional AI and Large Language Model workshops designed for professionals, with no coding experience required. Support from a global contributor community. Opportunity to apply your language expertise to help shape future AI technologies.