
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.
🕒 November 2
Where this job comes from
Posted on Correlation One's careers page, not through a job board
First seen by Remote Rocketship November 2
Still open on Correlation One's site. Checked 3 hours ago.

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.
• Prepare and lead live virtual lectures and hands-on demonstrations using Correlation One curriculum • Teach the Data Annotation core curriculum to a cohort of learners • Communicate technical content in English and Somali • Guide learners through annotation tasks, including reading guidelines, labeling, quality checking and correcting errors • Manage class-time Q&A, monitor chat and maintain learner engagement • Provide real-world examples of remote annotation work and employer quality measurement • Collaborate with Correlation One operations staff and Teaching Assistants • Attend pre-lecture meetings and a short weekly check-in • Help shape learner portfolio projects • Contribute to lesson design and improvement • Submit lecture plans for review 10 days in advance • Apply learner feedback from surveys and provide feedback to Correlation One
• Professional working proficiency in both Somali and English, spoken and written, with the ability to teach technical content in both • 5+ years of professional experience in data annotation, data labeling, AI training data, data quality or machine learning operations, including team lead, reviewer or quality assurance responsibility • A degree in a relevant field (such as computer science, information systems, linguistics or data science) or equivalent industry experience • Expertise in multimodal data labeling: text, speech and audio, image and video • Expertise in interpreting, applying and improving annotation guidelines • Expertise in dialogue and AI output evaluation, including rating and comparing AI responses and writing clear human feedback • Expertise in quality and process improvement, including quality checks, accuracy and consistency metrics, and root cause analysis of labeling errors • Expertise in confidential and secure data handling • Knowledge of AI fundamentals, including machine learning, generative AI and responsible AI basics • Hands-on experience with annotation and labeling platforms • Teaching or training experience with adult learners, ideally in a remote setting and with beginners • Excellent educator with energy, patience and ability to make complex topics accessible • Comfortable with Zoom, Pumble or Slack and online learning platforms
• Fully virtual training-to-jobs program • Remote work arrangement • Equal opportunity employment • Work environment free of discrimination and harassment • Reasonable accommodation for the job application or interview process
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