[Hiring] Teaching Assistant: Data Annotation @Correlation One

Role Description

We are proactively hiring Teaching Assistants (TAs) for the Data Annotation track of a new, fully virtual training-to-jobs program for young people in Somalia. The program prepares learners for remote and online work with employers worldwide, including data annotator, data labeler, AI data quality, and AI output evaluation roles.

• Build practical skills in labeling and evaluating text, audio, image, and video data used to train AI systems.
• Finish with portfolio projects to show to employers.

Your impact:

• Give learners close, personal support so no one falls behind.
• Help a small group of learners understand the material, practice it, and build the accuracy, consistency, and work habits remote employers look for.
• Step in early when a learner's attendance or progress starts to slip.

A day in the life:

• Attend and actively take part in the mandatory pre-program TA onboarding.
• Monitor the program's Pumble or Slack channels and answer learner questions promptly.
• Communicate clearly with learners in English, and in Somali when needed.
• Facilitate breakout rooms and hands-on labeling practice during lectures, when applicable.
• Check in with learners after each live session.
• Help keep the session running if the Lead Instructor experiences technical difficulties.
• Be present throughout and address learner questions when assigned to cover a live lecture.
• Answer learner questions on Pumble or Slack within 24 hours on days without live sessions.
• Foster discussion by posing questions and sharing useful resources.
• Review upcoming materials to be ready to answer learner questions.
• Hold individual office hours each week for extra support.
• Review and grade learner labeling exercises and projects within seven days of submission.
• Record short video walkthroughs for asynchronous assignments.
• Reach out to learners who miss sessions or fall behind.
• Submit a weekly write-up summarizing the week's progress and challenges.
• Attend the weekly staff meeting with the Correlation One team and other TAs.

Qualifications

• Professional working proficiency in both Somali and English, spoken and written.
• A Data Annotation professional with 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 labeling instructions.
• Experience in rating and comparing AI responses and writing clear human feedback.
• Knowledge of accuracy and consistency checks, and spotting and correcting labeling errors.
• Familiarity with confidential and secure data handling.
• Understanding of how labeled data is used to train AI.
• Hands-on experience with annotation and labeling platforms.
• Strong leadership, communication, collaboration, and organizational skills.
• Empathy, flexibility, and patience, with a passion for working with learners who are new to technology.
• Experience working in a fully virtual environment, comfortable with Zoom, Pumble or Slack, and online learning platforms.

Requirements

• Prior teaching, tutoring, or mentoring experience with adult learners (preferred).
• AWS Certified AI Practitioner (AIF-C01) or an equivalent AI certification (preferred).
• Arabic proficiency and familiarity with Maay as well as standard Somali (preferred).
• Familiarity with the Somali context, including how young people in Somalia access education, connectivity, and remote work (preferred).

Compensation

The compensation for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions, including location, experience, education, and skill sets.

Correlation One's Commitment

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. We provide a work environment free of discrimination and harassment.