Teaching Assistant, Somali Speaking – Data Annotation

Posted 2 days ago

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About the role

  • Teaching Assistant supporting Somali-speaking learners in Correlation One’s virtual AI data annotation training program. Guiding labeling practice, grading projects, and providing bilingual learner support.

Responsibilities

  • Attend and actively participate in mandatory pre-program TA onboarding
  • Monitor Pumble or Slack channels and promptly answer learner questions
  • Communicate with learners in English and Somali when needed
  • Facilitate breakout rooms and hands-on labeling practice during lectures
  • Check in with learners after live sessions and provide additional explanations
  • Support live sessions when the Lead Instructor has technical difficulties or cannot deliver the lecture
  • Answer learner questions on Pumble or Slack within 24 hours on non-live-session days
  • Foster discussion by posing questions and sharing useful resources
  • Review annotation guidelines, labeling exercises, and project materials
  • Hold weekly individual office hours
  • Review and grade learner labeling exercises and projects within seven days, providing feedback on accuracy and consistency
  • Record short video walkthroughs for asynchronous assignments
  • Contact learners who miss sessions or fall behind and flag concerns to the Correlation One team
  • Submit a weekly write-up summarizing progress, challenges, learner insights, and suggested improvements
  • Attend the weekly staff meeting with the Correlation One team and other TAs with camera on

Requirements

  • Professional working proficiency in both Somali and English, spoken and written, with the ability to explain technical content in both
  • 3+ years of experience in data annotation, data labeling, AI training data, data quality, or a related role
  • Working experience with multimodal data labeling: text, speech and audio, image and video
  • Ability to interpret and apply detailed annotation guidelines
  • Experience rating and comparing AI responses and writing clear human feedback
  • Experience performing quality checks for accuracy and consistency and correcting labeling errors
  • Knowledge of confidential and secure data handling
  • Understanding of AI fundamentals and how labeled data is used to train AI
  • Hands-on experience with annotation and labeling platforms
  • Strong leadership, communication, collaboration, organizational skills, and attention to detail
  • Empathy, flexibility, patience, and passion for working with learners new to technology
  • Experience working in a fully virtual environment
  • Comfortable with Zoom, Pumble or Slack, and online learning platforms
  • Reliable availability during EAT program hours

Benefits

  • Remote work arrangement
  • Fully virtual training-to-jobs program
  • Equal opportunity employment
  • Workplace free of discrimination and harassment
  • Reasonable accommodation for the job application or interview process

Job title

Job type

Part Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

RemoteWorldwide

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