Correlation One · 19 hours ago
Teaching Assistant: Machine Learning Data Associate
United States
Full-time
Remote
Entry Level
1+ years expCorrelation One develops workforce skills for the AI economy, partnering with top employers and government organizations to create equal access to data-driven jobs. The Teaching Assistant will support learners in virtual training programs, providing both synchronous and asynchronous assistance to ensure their comprehension and retention of content.
Big DataInformation TechnologyAnalyticsInformation Services
Responsibilities
Provide both synchronous and asynchronous support to Learners in German, ensuring their learning, comprehension, and retention of program content
Attend and proactively engage in the mandatory Pre-Program TA Onboarding
Monitor appropriate Slack channels (#c1-TA, #live-chat, #extra-help, and other relevant channels) for Learner questions and answer them promptly
Check-in with Learners after each live session by asking how they’re feeling about the content, if they have any questions, or if there is anything that they need further clarity
Facilitate breakout rooms during lecture time, when applicable
Assist in keeping the session progressing should the Lead Instructor experience technical difficulty or is otherwise unable to deliver the lecture
Monitor appropriate Slack channels for Learner questions and answer them within 24 hours
Foster discussion by posing questions of your own and sharing relevant links in the #resources channel or in other appropriate Slack channels
Use the #c1-TA channel to share any important information during a lecture that needs the attention of Correlation One staff or fellow Expert Network staff
Review content materials (including lab, projects, extended cases, etc..) for the next lecture to ensure you are prepared to answer Learner questions
Hold up to six (6) Individual Office Hours via Zoom with Learners in the program so they can ask any additional questions or get support as necessary
Grade Learner submissions of exercises and projects within seven (7) days of submission
Support continuous program improvement by providing thoughtful feedback to Correlation One team via Weekly Write Ups
Submit weekly write-ups summarizing the week’s accomplishments and challenges and provide insights on each Learner
Attend and participate in the weekly staff meeting with Correlation One team and other Expert Network staff
Attend all scheduled meetings with your camera on, ensuring active engagement and professional presence
Qualification
Required
Demonstrate professional fluency in both German and English to provide technical support and feedback to learners in their primary language
Possess a solid foundational understanding of machine learning principles, generative AI, and the data annotation lifecycle
Have at least 1–2 years of professional working experience performing or leading labeling/QA workflows across text, image/video, and speech/audio, with strong consistency and guideline adherence
Exhibit strong writing skills to guide learners in developing high-quality, structured rationales for AI data labeling tasks
Ability to use spreadsheet tools (like Excel or Google Sheets) to track learner progress and identify common technical errors in data labeling exercises
Proven experience providing academic or technical support to learners, either as a teaching assistant, tutor, or peer mentor in a virtual setting
Experience working with remote teams and using digital communication tools like Slack and Zoom to facilitate group learning
Demonstrated ability to provide constructive, empathetic, and timely feedback on technical labeling assignments and projects
Preferred
Previous experience or familiarity with data annotation, labeling, or quality control processes is highly preferred
Hold an active AWS Certified AI Practitioner certification to effectively support students through the program's technical and certification tracks
Company
Correlation One
Correlation One operates as a talent solutions technology company whose mission is to make data science for all.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$5.5M2018-04-04Series A· $5M
2018-01-01Series Unknown
2016-05-01Seed· $0.5M
Leadership Team
Rasheed Sabar
Co-Founder & Co-CEO
Recent News
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