
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.
🕒 February 11
🗣️🇩🇪 German Required
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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.
• Deliver live, virtual instruction to large groups of learners (100 to 8,000+) • Conduct large synchronous online lectures on technical content • Prepare and lead virtual classroom sessions • Collaborate with operations personnel to ensure smooth program delivery • Assist in lesson design, development, and improvement • Interact professionally with learners and staff • Maintain a high level of courtesy and respect • Prepare diligently for lectures to ensure high-quality content • Adjust lesson pace and presentation to meet diverse learner needs • Provide thoughtful answers and assistance to learners throughout the lesson
• Bilingual Proficiency in German and English (for Machine Learning Data Associate 1) • Strong conceptual understanding of the ML lifecycle and foundation model workflows • Hands-on experience performing or leading labeling/QA workflows across text, image/video, and speech/audio • Demonstrated ability to teach and enforce SOP-driven execution standards • Expert-level precision in writing structured rationales • Apply complex QA rubrics and root-cause analysis techniques • Ability to teach bias awareness, transparency norms, and data handling expectations • Proven track record of delivering high-quality, live virtual instruction • Experience assisting in the design and refinement of technical lessons • Demonstrated ability to adjust lesson pacing and presentation
• Equal Opportunity Employer • Work environment free of discrimination and harassment • Reasonable accommodations for persons with disabilities
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