Teaching Assistant: Data Annotation

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Correlation OneAI data annotation

This role is remote and open to candidates anywhere, EAT program hoursContractMiddle

Salary not disclosed

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Job Details

Languages: Professional working proficiency in both Somali and English, spoken and written
Experience: 3+ years of experience in data annotation, data labeling, AI training data, data quality, or a related role.
Required Skills: Slack

Have professional working proficiency in spoken and written Somali and English, with the ability to explain technical content in both.
Have 3+ years of experience in data annotation, data labeling, AI training data, data quality, or a related role.
Have working experience with multimodal data labeling across text, speech and audio, image, and video.
Be able to interpret and apply detailed annotation guidelines.
Have experience evaluating dialogue and AI outputs, rating and comparing responses, and writing clear human feedback.
Understand quality checks for accuracy and consistency, including spotting and correcting labeling errors.
Understand confidential and secure data handling and AI fundamentals, including how labeled data is used to train AI.
Have hands-on experience with annotation and labeling platforms.
Have experience working in a fully virtual environment and be comfortable with Zoom, Pumble or Slack, and online learning platforms.
Be able to reliably support learners during EAT program hours.
Preferred: 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 and standard Somali.

Monitor Pumble or Slack channels and answer learner questions promptly during live sessions and within 24 hours on days without live sessions.
Facilitate breakout rooms and hands-on labeling practice during lectures, when applicable.
Check in with learners after live sessions and provide additional explanation where needed.
Help keep live sessions running if the Lead Instructor cannot deliver the lecture, and cover lectures when assigned.
Review upcoming annotation guidelines, labeling exercises, and projects to prepare for learner questions.
Hold individual office hours each week.
Review and grade labeling exercises and projects within seven days, providing feedback on accuracy and consistency.
Record short video walkthroughs for asynchronous assignments.
Reach out to learners who miss sessions or fall behind, and flag concerns to the Correlation One team.
Submit weekly learner progress and challenges write-ups and attend weekly staff meetings.

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