
Lead Instructor, Data Annotation – Somali Speaking
Posted 20 hours ago

Posted 20 hours ago
This is a fully remote position, open to applicants in Somalia.
• Prepare and conduct live virtual lectures and hands-on demonstrations utilizing the Correlation One curriculum.
• Instruct learners on the Data Annotation core curriculum.
• Communicate effectively with learners in both English and Somali.
• Assist learners with annotation tasks, including the interpretation of guidelines, labeling, quality assurance, and error correction.
• Manage class-time question and answer sessions, oversee chat interactions, and sustain learner engagement.
• Provide practical examples of remote annotation work and the quality expectations of employers.
• Collaborate with the Correlation One operations team and Teaching Assistants.
• Participate in pre-lecture meetings and a brief weekly check-in.
• Assist in shaping learner portfolio projects.
• Contribute to the design and enhancement of lessons.
• Submit lecture plans for review at least 10 days prior to the scheduled lecture.
• Modify pacing and presentation to accommodate learners with varying starting points while ensuring timely content delivery.
• Incorporate learner feedback and relay course improvement suggestions to Correlation One.
• Professional working proficiency in both Somali and English, both spoken and written, with the capacity to teach technical material in both languages.
• Over 5 years of professional experience in data annotation, data labeling, AI training data, data quality, or machine learning operations, including roles such as team lead, reviewer, or quality assurance specialist.
• A degree in a relevant field (e.g., computer science, information systems, linguistics, or data science) or equivalent industry experience.
• Proficiency in multimodal data labeling, including text, speech and audio, images, and video.
• Expertise in interpreting, applying, and enhancing annotation guidelines.
• Proficient in evaluating dialogue and AI outputs, which includes rating and comparing AI responses and providing clear human feedback.
• Skilled in quality and process improvement, including conducting quality checks, measuring accuracy and consistency metrics, and performing root cause analysis of labeling errors.
• Knowledgeable about confidential and secure data handling practices.
• Understanding of AI fundamentals, including machine learning, generative AI, and the basics of responsible AI.
• Practical experience with annotation and labeling platforms.
• Experience in teaching or training adult learners, preferably in a remote environment and with beginners.
• Ability to simplify complex topics for better understanding.
• Proficient with Zoom, Pumble, or Slack, and familiar with online learning platforms.
• AWS Certified AI Practitioner (AIF-C01) or an equivalent AI certification is preferred.
• Proficiency in Arabic and familiarity with Maay as well as standard Somali is preferred.
• Familiarity with the Somali cultural context is preferred.
• Experience working in or recruiting for remote or freelance annotation and AI data roles is preferred.
• Fully virtual/remote work arrangement.
• Flexible scheduling will be arranged around EAT program hours.
• Compensation is location-specific and takes into account location, experience, education, and skill sets.
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