Remote Somali Data Annotation Teaching Assistant

Correlation One; Minneapolis (MN); Remote; USD 42,000 - 66,000; Full time

Job summary

Correlation One is seeking a Teaching Assistant for the Data Annotation track, focused on Somali-speaking learners. This remote role supports learners across live sessions, Slack/Pumble channels, and asynchronous tasks, ensuring clear communication in both Somali and English within a virtual environment.

You will help learners practice labeling, evaluate progress, and provide timely feedback. The program emphasizes practical labeling skills across text, audio, image, and video data for AI

Qualifications

• Data Annotation professional with 3+ years of experience in data annotation, data labeling, AI training data, data quality, or a related role.
• Professional working proficiency in both Somali and English.
• Hands-on experience with annotation and labeling platforms.
• Strong leadership, communication, collaboration and organizational skills.
• Experience working in a fully virtual environment and with Zoom, Pumble or Slack and online learning platforms.

Responsibilities

• Monitor program channels and answer learner questions promptly.
• Explain technical content in English and Somali when needed.
• Facilitate breakout rooms and labeling practice during live lectures.
• Check in with learners after live sessions and provide feedback.
• Support Lead Instructor during lectures and cover live sessions when needed.
• Offer weekly office hours and respond to questions within 24 hours in channels.
• Review and grade learner labeling exercises and provide constructive feedback.

Skills

Somali language

English language

Data labeling

Leadership

Communication

Organizational skills

Remote work experience

Empathy

Tools

Annotation platforms

Zoom

Pumble

Slack

Job description

Correlation One is seeking a Teaching Assistant for the Data Annotation track, focused on Somali-speaking learners. This remote role supports learners across live sessions, Slack/Pumble channels, and asynchronous tasks, ensuring clear communication in both Somali and English within a virtual environment.

You will help learners practice labeling, evaluate progress, and provide timely feedback. The program emphasizes practical labeling skills across text, audio, image, and video data for AI