• Professional working proficiency in both Somali and English, spoken and written, with the ability to explain technical content in both.
• both Somali and English
• A Data Annotation professional with 3+ years of experience in data annotation, data labeling, AI training data, data quality, or a related role.
• Working experience with, and the ability to explain:
• Multimodal data labeling: text, speech and audio, image and video
• Multimodal data labeling:
• Annotation guidelines: interpreting and applying detailed labeling instructions
• Annotation guidelines:
• Dialogue and AI output evaluation: rating and comparing AI responses and writing clear human feedback
• Dialogue and AI output evaluation:
• Quality checks: accuracy and consistency, and spotting and correcting labeling errors
• Quality checks:
• Confidential and secure data handling
• AI fundamentals: how labeled data is used to train AI
• AI fundamentals:
• Hands-on experience with annotation and labeling platforms.
• Strong leadership, communication, collaboration and organizational skills, with close attention to detail.
• Empathy, flexibility, and patience, and a passion for working with learners who are new to technology.
• Experience working in a fully virtual environment, and comfortable with Zoom, Pumble or Slack and online learning platforms.
• Preferred
• Prior teaching, tutoring, or mentoring experience with adult learners.
• AWS Certified AI Practitioner (AIF-C01) or an equivalent AI certification.
• Arabic proficiency and familiarity with Maay as well as standard Somali.
• Familiarity with the Somali context, including how young people in Somalia access education, connectivity, and remote work.
• Where you are
• Where you are
• This role is remote and open to candidates anywhere, provided you can reliably support learners during EAT program hours.