Sociology Teacher, Postsecondary
Micro1 • Remote • Posted 125 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
125d ago
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Job Title: Sociology Teacher, Postsecondary
Job Type: AI Training, Postsecondary Education. Part-time or Full-time, contract
Job Summary
Join our customer's team as a Sociology Teachers, Postsecondary and play a pivotal role in shaping the future of AI-driven education. You will leverage your expertise in sociology and teaching to train advanced AI models, ensuring their capability to understand, analyze, and generate high-quality sociological content. This unique opportunity allows you to combine your passion for teaching and research with cutting-edge technology, all from the comfort of your own workspace.
Key Responsibilities
Teach and develop engaging courses in sociology through AI training initiatives focused on both undergraduate and graduate-level content. Evaluate, review, and grade AI-generated class work, assignments, and simulated papers for sociological accuracy and depth. Prepare and deliver detailed lectures, learning modules, and case studies on topics such as race and ethnic relations, social measurement, and workplace social dynamics. Compile, administer, and oversee virtual examinations, collaborating with AI teams to ensure robust assessment capabilities. Initiate, facilitate, and moderate online classroom discussions to train AI models in nuanced social interactions. Design and refine course materials, including syllabi, handouts, and homework assignments, to be utilized by AI-driven educational tools. Collaborate with researchers and developers to continuously improve AI’s understanding and output in the field of sociology.
Required Skills and Qualifications
Advanced degree in Sociology or a closely related field. Demonstrated postsecondary teaching experience, with a strong record of both instruction and research. Exceptional written and verbal communication skills, with an emphasis on clarity, empathy, and precision. Proven ability to develop and assess educational materials and assignments aligned with academic standards. Familiarity with virtual learning environments and digital content creation. Strong analytical and evaluative skills, particularly in reviewing qualitative and quantitative sociological work. Adaptability and enthusiasm for leveraging new technologies in educational settings.
Preferred Qualifications
Experience training or collaborating with AI or machine learning projects. Background in interdisciplinary research, particularly integrating sociology with technology or data science. Track record of innovative online or remote teaching methodologies.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Data Science
Key Responsibilities
- Teach and develop engaging courses in sociology through AI training initiatives focused on both undergraduate and graduate-level content.
- Evaluate, review, and grade AI-generated class work, assignments, and simulated papers for sociological accuracy and depth.
- Prepare and deliver detailed lectures, learning modules, and case studies on topics such as race and ethnic relations, social measurement, and workplace social dynamics.
- Compile, administer, and oversee virtual examinations, collaborating with AI teams to ensure robust assessment capabilities.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($60/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.