Teaching Assistant, Somali Speaking – Data Annotation

Job not on LinkedIn

🔥 31 minutes ago

🌏 Anywhere in the World

⏱ Part Time

🟡 Mid-level

🟠 Senior

⬇️ Data Entry

👻 Ghost score 10%

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Correlation One

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 $5M Series A on 2018-04

We transform workforces today to power the data economy of tomorrow.Correlation One helps enterprises close data and digital skill gaps to develop talent for the jobs of tomorrow. We are committed to helping enterprises future-proof their workforces and create a more diverse data ecosystem through global programs like our Data Science for All (DS4A) initiative, custom enterprise training, and data competitions.

📋 Description

• 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

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