Handshake - Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary
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Requirements
• At least 4 years of professional experience in atmospheric, earth, marine, and space sciences related fields. • Experience delivering lectures and supervising laboratory/field work while maintaining student records and evaluating academic performance is preferred but not mandatory as it's implied through the context provided for relevant responsibilities. ✅ (Implied) • Engagement in research, publishing findings, and participating in professional development activities are expected to contribute effectively to AI model training; however, this experience isn’t explicitly stated with a time frame or specific skills but is implied through the context of delivering lectures and supervising work. ✅ (Implied) • Experience collaborating on curriculum development and serving on academic committees contributing to institutional policies and departmental matters, which implies familiarity with educational administration within scientific fields; this experience isn’t explicitly stated but is implied through the context of delivering lectures. ✅ (Implied) • Ability to participate in asynchronous work partnership with leading AI labs as part of project involvement requirements. This skill or ability may not be a direct requirement for qualifications, rather it's an aspect related to how one will engage with the projects once matched and onboarded; thus implied within the context but doesn’t directly state this as a job requirement in terms of skills needed at hiring time. ✅ (Implied) • No specific certifications or education requirements are stated, only experience is mentioned for qualification purposes.
Responsibilities
• Develop prompts that reflect your field and evaluate responses from AI models. • Leverage professional experience to assess content related to work in atmospheric, earth, marine, and space sciences. • Deliver clear, structured feedback for strengthening the model’s understanding of tasks and language specific to one's own area of expertise within these fields.
Benefits
• Flexible hours with no minimum commitment required; average working time is typically between 5–20 hrs per week. • Remote work option available for the position. • Opportunity to learn new skills and contribute to AI development in your field of expertise.
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