Lead Instructor, Data Annotation – Somali Speaking

Correlation One

. Prepare and lead live virtual lectures and hands-on demonstrations using Correlation One curriculum .

Posted 11/2/2026part-timeRemote • SomaliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data annotation and quality assurance, with a strong ability to teach complex technical content in both English and Somali. Proficient in multimodal data labeling and familiar with AI fundamentals, ensuring effective learner engagement and course improvement.

Highest-signal resume keywords

Data Annotation ExpertiseMultimodal Data LabelingQuality Assurance ExperienceTeaching Experience with Adult LearnersAWS Certified AI Practitioner

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnnotationData LabelingAI Training DataQuality ChecksAnnotation GuidelinesDialogue EvaluationProcess ImprovementRoot Cause AnalysisMultimodal LabelingMachine Learning Fundamentals

Soft Skills

Communication SkillsEngagement ManagementAdaptabilityFeedback ApplicationComplex Topic Simplification

Tools & Technologies

ZoomPumbleSlackOnline Learning PlatformsAnnotation Platforms

Certifications & Qualifications

AWS Certified AI Practitioner

Industry Keywords

Data QualityAI FundamentalsGenerative AIRemote LearningFreelance Annotation Roles

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Prepare and lead live virtual lectures and hands-on demonstrations using Correlation One curriculum
Teach the Data Annotation core curriculum to a cohort of learners
Communicate with learners in English and Somali
Guide learners through annotation tasks, including interpreting guidelines, labeling, quality checking and correcting errors
Manage class-time Q&A, monitor chat and maintain engagement
Provide real-world examples of remote annotation work and employer quality expectations
Work with the Correlation One operations team and Teaching Assistants
Attend pre-lecture meetings and a short weekly check-in
Help shape learner portfolio projects
Contribute to lesson design and improvement
Submit lecture plans for review 10 days in advance
Adjust pace and presentation for learners with different starting points while delivering content on time
Apply learner feedback and share course-improvement feedback with Correlation One

Requirements

What you’ll need

Professional working proficiency in both Somali and English, spoken and written, with the ability to teach technical content in both
5+ years of professional experience in data annotation, data labeling, AI training data, data quality or machine learning operations, including team lead, reviewer or quality assurance responsibility
A degree in a relevant field (such as computer science, information systems, linguistics or data science) or equivalent industry experience
Expertise in multimodal data labeling: text, speech and audio, image and video
Expertise in interpreting, applying and improving annotation guidelines
Expertise in dialogue and AI output evaluation, including rating and comparing AI responses and writing clear human feedback
Expertise in quality and process improvement, including quality checks, accuracy and consistency metrics, and root cause analysis of labeling errors
Knowledge of confidential and secure data handling
Knowledge of AI fundamentals, including machine learning, generative AI and responsible AI basics
Hands-on experience with annotation and labeling platforms
Teaching or training experience with adult learners, ideally in a remote setting and with beginners
Ability to make complex topics accessible
Comfortable with Zoom, Pumble or Slack and online learning platforms
AWS Certified AI Practitioner (AIF-C01) or equivalent AI certification preferred
Arabic proficiency and familiarity with Maay as well as standard Somali preferred
Familiarity with the Somali context preferred
Experience working in, or hiring for, remote or freelance annotation and AI data roles preferred

Benefits

Comp & perks

Fully virtual/remote work arrangement
Flexible scheduling will be coordinated around EAT program hours
Compensation is location-specific and considers location, experience, education and skill sets