Correlation One

Data Analyst

• 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 per week 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.
• Video walkthroughs for asynchronous assignments, such as extended cases and portfolio tasks.
• 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. In addition to potential improvements.
• 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.

Teaching Assistant, Data Analytics

Machine Learning Engineer

• Create high-quality instructional materials that teach modern data annotation and labeling workflows used to train and evaluate machine learning systems.
• Develop content across modalities—including text, image, video, audio/speech, and cross-modality labeling.
• Collaborate with internal program team to produce session plans, hands-on practice, examples, and assessments aligned to defined learning outcomes.
• Content should model best-in-class annotation behavior: rule-based decisions, clear rationales, consistent application of guidelines, and appropriate handling of ambiguity.
• Produce complete content packages per session/module, such as facilitator guide, learner materials, demos or walkthroughs, practice activities, strong vs. weak examples, rubrics/evaluation criteria, and short knowledge checks/assessments.
• Create hands-on exercises using a common annotation platform, including task setup guidance, labeling instructions, example labels, edge cases, and review workflows.
• Review and iterate on content based on internal feedback and peer review.
• Participate in weekly and ad hoc meetings with the program team to align on objectives, standards, and delivery constraints.
• Support content deployment into our learning platform (training provided).

Content Developer – Machine Learning Annotation

Recruitment

• Facilitate full cycle recruitment including sourcing, interviewing, scheduling, and team coordination through to offer
• Provide white glove candidate experience and communications
• Generate and execute active and passive sourcing strategies to target high quality candidates, at volume
• Utilize creative sourcing strategies, including posting to relevant job boards and LinkedIn
• Maintain and track candidate pipelines in Greenhouse
• Process offers and track hires through Worksuite
• Provide weekly, monthly and quarterly reporting and provide solutions to improve time-to-hire, sourcing techniques and overall process improvement

Senior Program Recruiter – Contract

Software Engineer

• Review and advise on the proposed curriculum outline
• Develop instructional content such as lessons, labs/demos, practice exercises, and hands-on assignments
• Create high-quality exam-style assessment items including rationales
• Build domain-aligned learning experiences that emphasize practical understanding
• Collaborate with other curriculum developers and participate in peer review
• Attend weekly and ad hoc meetings for project check-ins
• Deploy content on the learning platform if necessary

Curriculum Developer, AWS Certified AI Practitioner

• Develop German-language lessons and instructional materials for Module 3 – Writing for Labeling (5 sessions), including: Text analysis and dialogue evaluation (quality/helpfulness/safety)
• Grammar + sentence structure for annotation writing
• Sentence precision (conciseness, tone, active vs. passive voice, avoiding hedging)
• Prompt understanding and structured response writing
• Writing workshop materials (drills, feedback guidance, revision activities)
• Produce complete content packages per session (as applicable): Facilitator guide, Learner materials, “Strong vs. weak” examples, Rubrics / evaluation criteria, and Short knowledge checks or assessments.
• Ensure content is rule-based and audit-ready, anchoring decisions to instructions/SOPs and modeling how to flag ambiguity appropriately (escalation rather than guessing)
• Review and iterate on content based on internal feedback, peer review, and pilot findings.
• Participate in weekly and ad hoc meetings with the program team to align on learning objectives, standards, and delivery constraints.
• (If needed) Support content deployment into our learning platform (training provided)

Content Developer, Machine Learning Data Associate – German Language

Designer

• Define learning objectives based on client needs, create course outlines, design content and activities that align with learning objectives, and develop slides and instructor guides for live online training programs focusing on data and AI.
• Manage content development for programs from inception to completion, defining and meeting objectives and timelines, and setting up mechanisms to track and communicate progress to internal and external stakeholders.
• Understand and follow clients’ strategic direction and translate client needs to curriculum requirements.
• Collaborate with experts and account managers to ensure effective design, development, implementation, and feedback loops, considering different aspects of learning including assessment, delivery, and facilitation.
• Provide guidance to internal and external stakeholders on best practices of online learning design and development and present innovative solutions.
• Bring a content and learning perspective to decision making, weighing pros and cons based on the learning experience and desired goals and outcomes for each program.
• Provide recommendations for content delivery methods based on learner profile, client goals, and content subject matter.
• Develop and grow knowledge of the EdTech and corporate learning landscape.

Learning Designer

Artificial Intelligence

• Coach teams through the development of GenAI assistants, with a focus on ideation, prototyping, and real-world testing.
• Help learners refine prompts, assess assistant scalability, and build workflows that align with business goals.
• Support teams in selecting and framing high-impact HR use cases and building localized, culturally relevant assistant applications.
• Provide actionable feedback during Assistant Prototype Labs and dry-run sessions to prepare for final presentations.
• Join live sessions and be available for team check-ins throughout the program, ensuring consistent support.
• Help teams connect their work to business impact, productivity gains, enhanced insights, or improved decision-making.
• Collaborate with the Program Manager and Lead Instructor to surface team needs, ensure timely deliverables, and troubleshoot blockers.

AI Coach, Gemini

Operations

• Assist with the preparing and launch of Correlation One training programs, including application management, instructional staff hiring, cross-functional team collaboration, and client communication.
• Collaborate with the Product and Operations team to run our business operations, with a focus on our data science and data analytics training programs.
• Create a friendly, professional learning environment by troubleshooting learner needs and responding to all inquiries in a timely, professional manner.
• Perform anecdotal & statistical analysis on our collected product data to uncover actionable insights across different distribution channels, geographies, and client segments.
• Complete ad hoc projects related to our data science and data analytics training programs.
• Collaborate with internal team to creativity assess and test new products, and build growth strategies.
• Manage the live class operations on Saturdays. Most of the synchronous instruction for our training programs occurs on Saturdays in a “live online” format (e.g., synchronous but delivered fully online). The person in this role would get a day off each week (e.g., Friday or Monday) to offset any Saturday they work.

Operations Analyst

Program Manager

• Assist in the preparation and launch of training programs, handling application setup, client communications, and managing instructional staff hiring processes.
• Oversee multiple programs simultaneously, managing project timelines and ensuring seamless execution.
• Support the Senior Operations Team in developing and implementing strategic initiatives to enhance program impact, experience, and scalability.
• Facilitate a successful admissions process, which includes application setup and launch, applicant pipeline monitoring and reporting, and marketing initiatives, Q&A sessions, and/or any necessary applicant support to ensure strong enrollment.
• Manage the instructional contractor screening, review, and hiring processes for Teaching Assistants and Lead Instructors.
• Manage the live, online training programs (typically 12-20 weeks in length), ensuring learners, teaching assistants, instructors, and other stakeholders engage and benefit from the program.
• Monitor learners’ progress in the course while providing support for instructors and other contractual staff.
• Ensure stakeholders are fulfilling their role’s responsibilities and course technology is functioning appropriately.
• Create a friendly, professional learning environment by troubleshooting learner needs and responding to all inquiries in a timely, professional manner.

Data Engineer

• Own and develop the long-term technical vision & blueprint for the team
• Design technical strategy to develop well-architected data lakehouse
• Collaborate with internal architects to design and build out the ELT process from data ingestion to analytics marts.
• Create reliable, reusable frameworks and abstractions to standardize software development
• Provide support to development teams while mentoring engineering team members on modern database architecture principles and best practices.
• Monitor and analyze database performance and follow best practices of data engineering such as code reviews, scrum, and SDLC.
• Develop schema design for reports and analytics.
• Hands-on development from microservices and sub-systems to the entire technical stack
• Deal with ambiguity and figure things out with minimal guidance
• Mentor junior engineers on the team
• Create standards for engineering and operational excellence
• Identify and educate on industry relevant technical trends