Teaching Assistant, Somali Speaking – Data Annotation

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Participate actively in the required pre-program TA onboarding sessions.

• Monitor Pumble or Slack channels and respond promptly to learner inquiries.

• Communicate with learners in both English and Somali as necessary.

• Facilitate breakout sessions and practical labeling exercises during lectures.

• Follow up with learners after live sessions to provide further explanations.

• Assist during live sessions in case the Lead Instructor encounters technical issues or is unable to conduct the lecture.

• Respond to learner queries on Pumble or Slack within 24 hours on non-live-session days.

• Encourage discussions by asking questions and sharing helpful resources.

• Review annotation guidelines, labeling tasks, and project documents.

• Conduct weekly individual office hours.

• Assess and grade learner labeling tasks and projects within a week, offering feedback on precision and consistency.

• Create brief video walkthroughs for asynchronous assignments.

• Reach out to learners who miss sessions or fall behind and notify the Correlation One team of any concerns.

• Provide a weekly report summarizing progress, challenges, learner insights, and suggestions for improvement.

• Attend the weekly staff meeting with the Correlation One team and other TAs, ensuring the camera is on.

⛳️ Requirements

• Professional proficiency in both spoken and written Somali and English, with the capability to explain technical concepts in both languages.

• Over 3 years of experience in data annotation, data labeling, AI training data, data quality, or a similar role.

• Practical experience with multimodal data labeling, including text, speech, audio, images, and video.

• Ability to interpret and implement detailed annotation guidelines.

• Experience in evaluating and comparing AI outputs and providing clear human feedback.

• Proven experience in conducting quality checks for accuracy and consistency, as well as correcting labeling mistakes.

• Knowledge of secure and confidential data management practices.

• Familiarity with AI fundamentals and the role of labeled data in AI training.

• Hands-on experience with annotation and labeling software.

• Strong leadership, communication, teamwork, organizational skills, and attention to detail.

• Empathy, adaptability, patience, and a passion for supporting learners who are new to technology.

• Experience in a fully virtual environment.

• Proficient with Zoom, Pumble or Slack, and online learning platforms.

• Consistently available during EAT program hours.

🏝️ Benefits

• Flexible remote work arrangement.

• Fully virtual training-to-jobs program.

• Commitment to equal opportunity employment.

• A workplace that is free from discrimination and harassment.

• Reasonable accommodations available for the job application or interview process.