Teaching Assistant supporting Somali-speaking learners in Correlation One’s virtual AI data annotation training program. Guiding labeling practice, grading projects, and providing bilingual learner support.
Responsibilities
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
Data Annotator labeling 2D images and 3D LiDAR data for Torc Robotics’ autonomous truck software. Supporting annotation quality assurance to train safer AI systems.
Data Entry Clerk supporting claims administration at Revau’s RPMXpert subsidiary. Entering, updating, and tracking claims information while coordinating with French - and English - speaking stakeholders.
Part - time field data collector gathering retail store data for Acosta Group, a retail marketing and foodservice agency collective. Visiting stores, recording UPC attributes, and meeting quality and efficiency KPIs.
Part - time field data collector gathering UPC data from retail stores for Acosta Group, a retail marketing and merchandising agency. Using handheld devices, maintaining store relationships, and meeting data - quality KPIs.
Revenue Data Entry Clerk processing revenue documentation and reports for Imperial Parking Canada. Ensuring accurate ledger entries, discrepancy resolution, and month - end close deadlines.
Remote Data Entry Clerk/Office Assistant managing digital records and administrative tasks. Supporting data quality, correspondence, scheduling, and virtual office operations for a Canadian team.
Remote data entry clerk supporting Canadian operations through accurate data management and office administration. Handling documents, correspondence, scheduling, quality checks, and digital resources.
AML filing support associate preparing and validating FINTRAC reports for Central 1, which empowers Canadian credit unions and financial institutions. Maintaining accurate, timely regulatory filings and documentation.
Senior network engineer reviewing enterprise logs, packets, and wireless incidents for AI - driven autonomous networking systems. Structuring production network data into machine - learning training inputs and annotations.
Data Entry Specialist at Vena Solutions maintaining and updating company data. Seeking meticulous and reliable individual for full - time remote position based in Canada.