Are you interested in teaching next-gen AI models about K-12 Education and deepening your domain expertise?
Earnings:
- Hourly rate: US$23.00-$35.00, depending on your level of expertise
About the Opportunity:
- Cutting-Edge Projects: Work on challenging projects that push the boundaries of AI
- Flexibility: Set your own hours and work remotely from anywhere
- Weekly payouts: Get paid conveniently on a weekly basis
- Professional growth: Gain valuable experience in AI while honing your writing skills and deepening your domain expertise
- Collaborative environment: Join a team of talented professionals who share your passion for AI and K-12 Education
- Duration: Variable depending on project length, flexible hours
- Location: Remote from any of the following countries - US,CA,NZ,AU,IN,PH,MX and AR.
Responsibilities:
- You will train AI models by crafting and answering questions related to your field.
- You will evaluate and rank responses generated by AI systems.
- You will use your domain expertise to assess the factuality and relevance of text produced by AI models
Qualifications:
- Proven Education Teacher Experience for grades K-12
- Experience writing professionally (copywriter, journalist, technical writer, editor, etc.)
- Postsecondary experience is nice to have.
- Subject Expertise: In-depth knowledge and expertise in the specific field of study are essential. Teachers should have a strong foundation in their subject area and stay updated with the latest research and developments.
- Minimum requirement is teaching certifications and Bachelor's degree in education.
- Excellent attention to detail and ability to maintain consistency in writing and spot errors or inconsistencies
- Excellent written and verbal communication skills in English
Nice to Have:
- Advanced degree with a Masters, Ed.D., or PhD in education are nice to have.
- Familiarity with AI and machine learning concepts
Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.
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