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Study.com recherche des experts en mathématiques pour créer des leçons engageantes pour son catalogue de cours. Ce rôle en ligne est contractuel et permet une flexibilité totale, avec des paiements fiables et un support de l'équipe. Les candidats doivent avoir au moins un baccalauréat, ainsi que des compétences en rédaction et en communication solides, et une expérience dans le développement de contenu académique est souhaitée.
Study.com is looking for Mathematics experts to write engaging and informative lessons for our course catalog. Our ideal Expert is knowledgeable in their field, detail-oriented, and capable of applying feedback when necessary to course materials that meet current academic standards and industry requirements. This is an online, remote contract role. All work is paid per piece. Per piece rates vary based on complexity and length of content.
Requirements
Preferred qualifications
The Contract Process
The mission of Study.com is to make education accessible, and over the last two decades we’ve become the leading online education platform, deliveringapersonalized learning experience across a broad continuum of education for over 30 million students, instructors, and professionals every month.
We help empower millions of learners to achieve their education and career goals. We focus on increasing access to education because we know information is the ultimate equalizer and that education is key to upward mobility.
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In no more than three sentences, describe your subject matter expertise, including how your work and/or educational experience reflects your subject matter expertise (teaching, tutoring, lesson development, academic research, advanced degree, academic career, etc.) *
Select ONE of the following headers. Provide a writing sample of 4-6 sentences that teaches the concept included in the header. Check out some of the lessons on our site to review our typical writing style (https://study.com/academy). *
Headers:
- The Impact of Cybersecurity on Digital Systems
- The Role of Artificial Intelligence in Modern Computing
- Understanding Computational Complexity and Trade-offs