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DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Modeling teaching excellence using best practices for teaching. We are seeking an educator with experience teaching and engaging students from diverse backgrounds who can also model teaching excellence. Applicants must be comfortable teaching across modalities which include remote, in-person, or hyb

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

< Sustainable Energy Engineering (SEE) is a freshman-level course that guides students through the inner workings of the world's energy systems, from thermodynamics to economics. The course includes lectures but focuses on hands-on demonstrations and data analysis. Graded coursework includes homework assignments, case studies, and a capstone design project. Students have the opportunity to earn three credits from Johns Hopkins University. Ultimately, the goal of the course is to expose students to engineering principles, allow them to apply the math and science they learn in high school to solving real world problems, and to help students develop critical thinking skills. More information can be found at . Each class of SEE consists of 16-24 students with diverse academic backgrounds. Each class is team-taught by a PhD-level engineer and a high school teacher who teaches a STEM discipline. Select sections of SEE also have assigned to them a Teaching Assistant (TA). We are seeking a Teaching Assistant - SEE - In Person who will support the teaching efforts of the Instructor and Teaching Fellow. Specific Duties & Responsibilities • Must be present and available during the entire course. This includes the daily class time as well as time to coordinate with the teaching team, grade student submissions, set up and clean up the in-person classroom and lab space, check student messages daily, and hold occasional study sessions., • Must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course., • Must work with the Instructor and Teaching Fellow to develop a sense of community for the high school students participating in the class., • Will work with the Instructor and Teaching Fellow to answer student questions during in-class activities., • Will assist with grading homework. They must ensure that students receive their graded assigned work promptly - within 1-2 days of the assignment due date - and provide detailed feedback to students so that they are able to learn from the activity and improve their future performance., • May be asked to hold study sessions to assist students and their understanding of lectures, labs, assignments, and projects., • Must ensure that child safety protocols are upheld. Minimum Qualifications • High School Student who has completed the Sustainable Energy Engineering course with a B or higher grade or a college student who has completed their first year of an engineering degree., • Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors., • All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU., • Availability to participate in pre-course training is required., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Must be able to effectively communicate both orally and in writing., • A strong understanding of general engineering principles is preferred. Special knowledge, skills, and abilities • Knowledge of Algebra II and Trigonometry., • Knowledge of Physics. Technical qualifications or specialized certifications • Familiarity with Canvas or similar LMS., • Proficient with the Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams., • Proficient with Zoom or similar video conferencing software. Physical Requirements • Access to remote/virtual work environment for training prior to course., • Physical presence required during the course. Classified Title: Tutorial Assistant Job Posting Title (Working Title):Teaching Assistant - SEE - In Person (Sustainable Energy Engineering) Role/Level/Range: ACRO37.5/02/CC Starting Salary Range: $15.70 - $26.25 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 37.5hrs/wkly; 7 days - Course runs June 29 to July 24, 2026, Monday through Friday, from 9 a.m. to 3 p.m. for most locations. There will be training and preparation required ahead of the first day of class and course close-out after the course ends. FLSA Status:Non-Exempt Location: Homewood Campus Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering

< The Department of Academic Affairs at the Johns Hopkins University is seeking a Course Support Specialist.The Course Support Specialist will provide support to faculty in the areas of curriculum delivery and course support, which includes syllabi construction, coordination of course materials, textbook orders, course evaluations, and technological troubleshooting. The Course Support Specialist will participate in the analysis, design, development, and implementation of routine online courses, web-based training, face-to-face training curricula, and onsite and hybrid modalities. Specific Duties & Responsibilities Course/Program Support • Provide instructional design support and coordinate a range of online instructional tools and materials to enhance online course delivery., • Provide recommendations to faculty and subject matter experts to update existing courses. Perform routine revisions of existing course content., • Create and maintain faculty, student, and course information records in various locations/systems, i.e., secured network drives, Teams, SharePoint, Course Plus, the Learning Management System (LMS) of BSPH., • Update course websites in the LMS by creating assignments, checking APA citations, building exams, building groups, adding rubrics, setting up the Grade Center, and performing other maintenance as necessary., • Complete general QA of courses throughout the term to ensure that materials and course content align, and that all information is up to date., • Correspond and coordinate with faculty on term start preparations, to set up course for the upcoming term and occasionally determine how to effectively use the LMS tools and other communication software., • Assist Design & Technology teams with compliance with established accessibility (ADA/508/UDL) standards as well as university/division standards., • Assist in preparing course materials throughout term prior to posting in classroom i.e. Ensure appropriate template usage and formatting for syllabi, rubrics, documents & PDFs, and all PowerPoint presentations., • Maintain a collaborative relationship with faculty, Instructional Designer and Technology team members, and Program Administrators to ensure quality and consistency throughout our courses and programs. Technical Support • Provide guidance and training to faculty, TAs, clinical instructors, and guest lecturers as needed on all technologies used in online courses., • Troubleshoot technical issues that are escalated from the Level 1/Level 2 Help Desks. Assist with the effective implementation of instructional technology tools within learning management systems., • Consult with faculty on the use of instructional technologies for activities such as evaluation, presentation, audience response, live meetings, streaming video, etc., • Assist multimedia specialists with the preparation and production of recorded audio/video lectures., • Support/troubleshoot various educational and communication technology i.e. Turnitin, Zoom, Office 365 products, VoiceThread, Qualtrics, PowerPoint, Excel, Word, Adobe Connect, Poll Everywhere, RPNow, Respondus, Examsoft, Adobe PDF, Shadow Health, Late Nite Labs, etc., • Participate in technology implementation projects, providing project coordination when needed., • Triage and respond to faculty and student questions, concerns, and inquiries. Troubleshoot when able and escalate calls, emails, & JIRA tickets to appropriate staff for matters requiring specialized or a higher level of expertise/authority., • Collaborate with faculty and IDs to select the most appropriate technologies based on the content of the course., • Perform thorough in-depth quality assurance testing as needed. Administrative Support • Provide administrative assistance in the areas of course material production, Internet research, textbook selections and orders, course assignments, LMS sites, and evaluations., • Assist instructional design & technology staff by researching industry trends and best practices and brainstorming ideas to solve design challenges., • Collect, prepare, analyze, and evaluate data collected from faculty and students in order to make recommendations on the impacts of design changes and technological innovations in programs and courses., • Staff academic committees, task forces, and other working groups as assigned, as a representative for the CSS working group., • Prepare course reports as needed and assigned., • Perform other related duties as requested. In addition to the duties described above • Collaborate closely with instructional design staff to provide comprehensive support to faculty and staff in course development., • Collect, analyze, and report data on program performance, identifying challenges and opportunities for improvement., • Develop documentation and resources that support instructional goals., • Support the development and implementation of instructional technological products. Minimum Qualifications • Bachelor's Degree., • One year of related experience., • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Bachelor's Degree in Instructional Design, Instructional Technology, Education, or related field., • Previous instructional design coursework/experience., • Familiarity with Blackboard and/or other Learning Management Systems., • Ability to navigate and understand new technologies and strong grasp of educational technologies (VoiceThread, Turnitin, Poll Everywhere, Respondus, AEFIS, publisher, etc.)., • Basic HTML experience and the ability to edit code to remove errors/excessive tags., • High proficiency in Microsoft Office Suite, especially PowerPoint., • Prior experience working closely with higher education faculty. Technical Skills & Expected Level of Proficiency • Adult Learning Principles - Developing, • Educational Technologies - Developing, • Learning Management Systems - Developing, • Oral and Written Communications - Intermediate The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Course Support Specialist Role/Level/Range: ACRO37.5/03/CF Starting Salary Range: $22.75 - $40.50 HRLY ($55,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Monday to Friday: 8:30am - 5:00pm FLSA Status:Non-Exempt Location: Remote Department name: Center for Teaching and Learning Personnel area: School of Public Health

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

< We are seeking a Teaching Assistant who will support the success of the class and students by providing students with additional academic support in a professional manner. The TA assists students in understanding content by using various teaching/tutoring strategies. A teaching Assistant must be available to provide extra assistance to individual students as needed. Specific Duties & Responsibilities • The teaching assistant will assist in grading homework, quizzes, and exams of the online section of course., • The teaching assistant will also monitor online discussion boards, perform online course communication with students, and assist during synchronous discussions., • The selected individual will be responsible for preparing the course Blackboard site before the start of the course., • The Blackboard site will include assignment descriptions and deadlines, grade book calculations, group and class discussion forums, student resources, practice exams, and mid-term course evaluations., • The position will require the student to outline a teaching module for future online teaching assistants. This module must include documents for preparing new teaching assistants, troubleshooting tips, and information on fostering a productive working relationship with a professor., • Perform other related duties as requested. Minimum Qualifications • High School Diploma or equivalent., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Technical Skills and Expected Level of Proficiency: • Differentiated Instruction - Awareness, • Educational Assessment - Awareness, • Educational Technologies - Awareness, • Oral and Written Communication - Awareness, • Organizational Skills - Awareness, • Student Learning Outcomes - Awareness The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Teaching Assistant Role/Level/Range: ACRO37.5/03/CE Starting Salary Range: $19.75 - $35.35 HRLY ($20.00 targeted; Commensurate w/exp.) Employee group: Casual / On Call Schedule: Mon - Sun FLSA Status:Non-Exempt Location: Remote Department name: Counseling and Educational Studies Personnel area: School of Education

The Engineering for Professionals division of the Whiting School of Engineering at Johns Hopkins University is seeking applicants for an online, part-time lecturer position for the course Strategic Communications in Technical Organizations in the Engineering Management program. We are seeking a highly qualified and experienced instructor to teach the online engineering master's course "Strategic Communications in Technical Organizations" at Johns Hopkins Engineering for Professionals (___). The instructor will be responsible for delivering high-quality instruction and facilitating student learning in the field of strategic communications within technical organizations. This course focuses on various aspects of communication, including oral and written communication, presentations, interpersonal skills, and strategic communication aligned with business/technical strategies. The instructor will guide students in developing effective communication techniques and strategies for navigating complex communication challenges in technical environments. Responsibilities: • Facilitate online discussions, group activities, and one-on-one interactions to enhance student learning and engagement., • Assign and grade coursework, assignments, and projects in a timely manner, providing constructive feedback to students., • Foster a collaborative and interactive online learning environment by encouraging active participation and knowledge sharing among students., • Assist students in understanding and applying theoretical concepts and practical skills related to strategic communications in technical organizations., • Address student inquiries, concerns, and provide timely and helpful support throughout the course., • Stay up to date with current industry trends, best practices, and advancements in the field of strategic communications and technical organizations., • Collaborate with a co-instructor for course team delivery. A minimum of 10 years work experience. Experience: • Demonstrated expertise and professional experience in strategic communications within technical organizations., • Strong knowledge of communication principles, including perception, cognition, semantics, and individual differences in information processing., • Experience in developing and delivering effective oral and written communications, presentations, and proposals within technical settings., • Familiarity with communication challenges between supervisors and subordinates, work assignment, reporting to management and sponsors, and conflict resolution in technical environments., • Experience with the difference in communicating as a subject matter expert to peers vs. communicating as a subject matter expert to a non-technical audience and to executives., • Excellent communication and interpersonal skills with the ability to engage and motivate students., • Familiarity with online teaching platforms, learning management systems, and other educational technologies., • Strong organizational and time management skills to effectively manage course delivery and administrative tasks. Please note that only shortlisted candidates will be contacted. The review of applications will begin immediately and continue until the position is filled. To apply for this position, visit: ___ Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: ___. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at ___. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit ___. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the ___. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the ___. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit ___ and all other JHU applicants should visit ___. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

< Explore Engineering Innovation is based on an introductory engineering course taught to undeclared freshmen engineering students at JHU. EEI covers a range of fundamental engineering topics including materials science, computer science, civil, mechanical, and chemical engineering. The course includes lectures but focuses on hands-on lab experiments and group data analysis. Graded coursework includes lab reports, homework assignments, a group presentation, and a design project. At the end of the course, students who earn an A or B receive JHU credit for the course. Ultimately, the goal of the course is to expose students to engineering principles, allow them to apply the math and science they learn in high school to solving real world problems, and to help students develop critical thinking skills. Each class of EEI consists of 16-24 students with diverse academic backgrounds. Each class is team-taught by a PhD-level engineer and a high school teacher who teaches a STEM discipline. Select sections of EEI also have assigned to them a Teaching Assistant (TA). We are seeking aTeaching Assistant - EEI - Hybrid whowill support the teaching efforts of the Instructor and Teaching Fellow. Specific Duties & Responsibilities • Must be present and available during the entire course. This includes the daily class time as well as time to coordinate with the teaching team, grade student submissions, check student messages daily, set up and clean up the in-person classroom and lab space, and hold occasional study sessions., • Must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course., • Must work with the Instructor and Teaching Fellow to develop a sense of community for the high school students participating in the class., • Must be able to assist students remotely as they conduct the various activities throughout the online portion of the course., • Will work with the Instructor and Teaching Fellow to monitor the discussion boards and answer student messages in a timely manner, typically less than 24 hours., • Will work with the Instructor and Teaching Fellow to answer student questions during in-class activities., • Will assist with grading homework. They must ensure that students receive their graded assigned work promptly - within 1-2 days of the assignment due date - and provide detailed feedback to students so that they are able to learn from the activity and improve their future performance., • May be asked to hold study sessions to assist students and their understanding of lectures, labs, assignments, and projects., • Must ensure that child safety protocols are upheld. Minimum Qualifications • High School Student who has completed the Explore Engineering Innovation course with a B or higher grade or a college student who has completed their first year of an engineering degree., • Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors., • All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU., • Availability to teach the entirety of Session 1 (online June 15 to June 26) Monday through Friday, 10am - 1pm, and June 29-July 10 in-person on the JHU Homewood campus, Monday through Friday, from 8:45 a.m. to 3:30 p.m.) or Session 2 (online July 6 to July 17, Monday through Friday, 10am - 1pm, and July 20 to July 31 in-person on the JHU Homewood campus, Monday through Friday, from 8:45 a.m. to 3:30 p.m.), • Availability to participate in pre-course training., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Must be able to effectively communicate both orally and in writing., • A strong understanding of general engineering principles is preferred. Special Knowledge, Skills, and Abilities • Knowledge of Algebra II and Trigonometry., • Knowledge of Physics and/or Chemistry. Technical qualifications or specialized certifications • Familiarity with Canvas or similar LMS., • Proficient with the Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams., • Proficient with Zoom or similar video conferencing software. Specific Physical Requirements • Access to remote/virtual work environment for training prior to course., • Access to remote/virtual work environment during the online portion of the course., • Physical presence required during the in-person portion of the course. Classified Title: Tutorial Assistant Job Posting Title (Working Title):Teaching Assistant - EEI - Hybrid (Explore Engineering Innovation) Role/Level/Range: ACRO37.5/02/CC Starting Salary Range: $15.70 - $26.25 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 37.5hrs/wk; 7 days/wk; In 2026, EEI Hybrid will be offered in two different sessions. Session 1 will be offered online June 15 to June 26, Monday through Friday. Each class will meet synchronously for a single 3-hour block at the same time each day, 10am FLSA Status:Non-Exempt Location: Hybrid/Mount Washington Campus Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering

The Johns Hopkins University's Department of Environmental Health & Engineering, in cooperation with the new Johns Hopkins Data Science and Artificial Intelligence (DS/AI) Institute, seeks applicants for tenured or tenure-track faculty positions focused on leveraging and developing DS and AI tools for environmental engineering, science, and public health applications. Candidates should have demonstrated excellence in research harnessing and creating new DS/AI/deep learning/machine learning/big data tools, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related discipline. Although we will consider candidates who work in any environmental topical area, we specifically seek candidates in three thrust areas: Systems Analysis and Optimization for Sustainable Environment and Natural Resources Management: The challenges of future climate change, population growth, megadroughts and extreme events, water scarcity, decarbonization, and zero waste, require advanced systems and risk analysis methodologies for monitoring and managing complex human-natural coupled systems. The desired candidate will have a strong track record in devising and leveraging DS/AI for developing resilient, efficient, and socially beneficial strategies for complex water, air, ecosystem, and other environmental and resource systems. Harnessing Data Science/Artificial Intelligence/Machine Learning/Deep Learning/Big Data for understanding Earth System changes to inform planning for adaptation and resilience: Large volumes of historical simulations and future climate projections are available from a wide range of climate and environmental models. Simultaneously, the abundance of data streams generated by satellite, airborne, and drone-based remote sensing and in-situ sensor systems holds enormous promise for real-time environmental monitoring. Mining and extracting information from such big data streams requires overcoming challenges associated with scale, discoverability, analysis, and interpretation. We seek candidates who leverage modern DS/AI tools to integrate large multi-scale datasets and process-based models to inform environmental and resource strategies for the 21stcentury. Data Science/Artificial Intelligence Applications in Environmental Chemistry and Toxicology: Human and Planetary health is shaped by more than 100,000 chemical compounds that are in commercial use and released into the environment. Protecting human health against exposures to these complex chemical mixtures and byproducts that result from their reactions, is a much greater challenge than quantifying the toxicity of specific chemicals. There has been a recent growth in applications of machine learning to identify the chemical composition of complex mixtures. Simultaneously, DS/AI-based computational toxicology methods are demonstrating promise in meeting the principles of the 3R's concept, especially replacement of animal testing. We seek candidates with expertise in the development and use of DS/AI methods in computational environmental chemistry and toxicology, to identify chemicals of concern in complex environmental mixtures and predict their toxicity. Applications are particularly welcome from candidates who have demonstrated expertise in developing new DS/AI methods that would be of potential utility in other engineering and science fields, andwho would be qualified for joint appointments in one of the three core departments of the new JHU DS and AI Institute (). These include the Departments of Applied Mathematics & Statistics; Computer Science; and Electrical & Computer Engineering. The Department of Environmental Health and Engineering, a cross-divisional department spanning the Whiting School of Engineering and the Bloomberg School of Public Health, has approximately 50 tenured/tenure-track and 40 non-tenure-track faculty members. We embrace the vision outlined in the National Academy report Environmental Engineering for the 21st Century: Addressing Grand Challenges.We strive to make JHU the world leader in understanding how environmental change affects human health and welfare, and in finding solutions that improve the health of the planet, communities, and people. We invite candidates who share our vision to apply for this position. More information about the Department of Environmental Health and Engineeringcan be found at ___ The Whiting School of Engineering comprises over 200 full time tenure-track, research, and teaching-track faculty in nine academic programs with a total annual research budget of over $170 million. The Bloomberg School of Public Health is the number 1 ranked public health school in the country with over 670 full time tenure-track faculty in 10 academic departments with an annual budget of over $500 million. Research partnerships with the Johns Hopkins School of Medicine, Applied Physics Laboratory, and the Krieger School of Arts and Sciences make the Whiting School of Engineering a unique research and educational environment. In addition to the DS/AI Institute, opportunities exist for collaboration with several institutes and centers at JHU, including the Ralph S. O'Connor Sustainable Energy Institute (ROSEI), the Center for a Livable Future (CLF), the CHARMED center, and the Center for Alternatives to Animal Testing (CAAT). Student enrollment exceeds 1800 at the undergraduate level with over 1000 full time MS and PhD students. The Engineering for Professionals program enrolls over 2500 part time continuing education students and is the largest program of its kind in the country. The Whiting School of Engineering is in the top 20 for both undergraduate programs and graduate school rankings by US News and World Report. Applicants must hold an earned doctorate in an appropriate field by the time their appointment begins. Candidates must have demonstrated an ability to conduct outstanding independent research and establish a strong internationally recognized research program. Commitment to excellence in teaching and mentoring a diverse body of students at all levels is required. Applications at all levels will be considered; salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a research statement, a teaching statement, and three recent publications. Junior candidates who are applying at the assistant professor level should provide contact information for at least three references. References are not required at the initial application stage for senior candidates. Applications are due Jan. 15, 2026; applications welcome until position is filled. This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. To apply for this position, visit: ___ Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: ___. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at ___. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit ___. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the ___. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit ___ and all other JHU applicants should visit ___. The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

< Explore Engineering Innovation is based on an introductory engineering course taught to undeclared freshmen engineering students at JHU. EEI covers a range of fundamental engineering topics including materials science, computer science, civil, mechanical, and chemical engineering. The course includes lectures but focuses on hands-on lab experiments and group data analysis. Graded coursework includes lab reports, homework assignments, a group presentation, and a design project. Students have the opportunity to earn three credits from Johns Hopkins University. Ultimately, the goal of the course is to expose students to engineering principles, allow them to apply the math and science they learn in high school to solving real world problems, and to help students develop critical thinking skills. We are seeking aTeaching Fellow EEI Hybrid who will understand, appreciate, and apply an instructional style that emphasizes the process of problem-solving rather than memorizing material. The object is to engage students by getting them to think and participate rather than being lectured to. Each EEI class has a broad range of 16-24 students with diverse backgrounds, and teaching staff must be prepared to accommodate a multitude of learning styles. The Teaching Fellow must be able to engage, encourage and excite the students. Specific Duties & Responsibilities • Teaching Fellows must be present and available during the entire course. This includes the daily class time as well as time to coordinate with the teaching team, grade student submissions, set up and clean up the in-person classroom and lab space, check student messages daily outside of class time, and hold occasional study sessions., • Teaching Fellows must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course., • Teaching Fellows must be comfortable with the course material and be able to relate the curriculum to high school students., • Teaching Fellows must work with the Instructor to develop a sense of community for the high school students participating in the class., • Teaching Fellows must be able to assist students remotely as they conduct the various activities throughout the online portion of the course., • Teaching Fellows must work with the Instructor to monitor the discussion boards and answer student messages in less than 24 hours., • Teaching Fellows and Instructors will answer student questions and provide guidance during labs and projects., • Teaching Fellows must be available for supplementary instruction outside of class hours., • Teaching Fellows will assist Instructors and ensure that students receive their graded assigned work promptly - within 1-2 days of the assignment due date - and provide detailed feedback to students so that they are able to learn from the activity and improve their future performance., • Teaching Fellows will assist Instructors and ensure that grades are posted to the learning management system in a timely manner., • Teaching Fellows must ensure that child safety protocols are upheld. Minimum Qualifications • Bachelor's or Master's Degree in a Science, Technology, Engineering or math discipline, • Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors., • All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU., • Availability to teach the entirety of Session 1 (online June 15 to June 26) Monday through Friday, 10am - 1pm, and June 29-July 10 in-person on the JHU Homewood campus, Monday through Friday, from 8:45 a.m. to 3:30 p.m. )or Session 2 (online July 6 to July 17, Monday through Friday, 10am - 1pm, and July 20 to July 31 in-person on the JHU Homewood campus, Monday through Friday, from 8:45 a.m. to 3:30 p.m.), • Availability to participate in pre-course training is required., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Bachelor's or Master's Degree in engineering., • Three plus years of experience as a high school teacher in a STEM discipline. Special knowledge, skills, and abilities • Excellent classroom management skills., • Knowledge of Algebra II and Trigonometry., • Knowledge of Physics and/or Chemistry. Technical qualifications or specialized certifications • Familiarity with Canvas or similar LMS., • Proficient with the Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams., • Proficient with Zoom or similar video conferencing software. Physical Requirements f • Access to remote/virtual work environment for training prior to course., • Access to remote/virtual work environment during the online portion of the course., • Physical presence required during the in-person portion of the course. Classified Title: Teaching Assistant Engineering Job Posting Title (Working Title):Teaching Fellow EEI Hybrid (Explore Engineering Innovation) Role/Level/Range: ATO 37.5/03/OI Starting Salary Range: $31.10 - $54.50 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 37.5hrs/wk; 7 days/wk, In 2026, EEI Hybrid will be offered in two different sessions. Session 1 will be offered online June 15 to June 26, Monday through Friday. Each class will meet synchronously for a single 3-hour block at the same time each day, 10am FLSA Status:Non-Exempt Location: Hybrid/Homewood Campus Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering

< Sustainable Energy Engineering (SEE) is a freshman-level course that guides students through the inner workings of the world's energy systems, from thermodynamics to economics. The course includes lectures but focuses on hands-on demonstrations and data analysis. Graded coursework includes homework assignments, case studies, and a capstone design project. Students have the opportunity to earn three credits from Johns Hopkins University. Ultimately, the goal of the course is to expose students to engineering principles, allow them to apply the math and science they learn in high school to solving real world problems, and to help students develop critical thinking skills. More information can be found at . We are seeking aTeaching Fellows - SEE - In-Person should understand, appreciate, and apply an instructional style that emphasizes the process of problem-solving rather than memorizing material. The object is to engage students by getting them to think and participate rather than being lectured to. Each SEE class has a broad range of 16-24 students with diverse backgrounds, and teaching staff must be prepared to accommodate a multitude of learning styles. The Teaching Fellow must be able to engage, encourage and excite the students. Specific Duties & Responsibilities • Teaching Fellows must be present and available during the entire course. This includes the daily class time as well as time to coordinate with the teaching team, grade student submissions, set up and clean up the classroom and lab space, check student messages daily outside of class time, and hold occasional study sessions., • Teaching Fellows must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course., • Teaching Fellows must be comfortable with the course material and be able to relate the curriculum to high school students., • Teaching Fellows must work with the Instructor to develop a sense of community for the high school students participating in the class., • Teaching Fellows and Instructors will answer student questions and provide guidance during labs and projects., • Teaching Fellows must work with the Instructor to monitor the discussion boards and answer student messages in less than 24 hours., • Teaching Fellows will assist Instructors and ensure that students receive their graded assigned work promptly - within 1-2 days of the assignment due date - and provide detailed feedback to students so that they are able to learn from the activity and improve their future performance., • Teaching Fellows will assist Instructors and ensure that grades are posted to the learning management system in a timely manner., • Teaching Fellows must ensure that child safety protocols are upheld. Minimum Qualifications • Bachelor's or Master's Degree in a Science, Technology, Engineering or Math Discipline, • Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors., • All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU., • Availability to participate in pre-course training is required., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Bachelor's or Master's Degree in engineering., • Three plus years of experience as a high school teacher in a STEM discipline [DW1.1]. Special knowledge, skills, and abilities • Excellent classroom management skills., • Knowledge of Algebra II and Trigonometry., • Knowledge of Physics. Technical qualifications or specialized certifications • Familiarity with Canvas or similar LMS., • Proficient with the Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams., • Proficient with Zoom or similar video conferencing software. Physical Requirements • Access to remote/virtual work environment for training prior to course., • Physical presence required during the course. Classified Title: Teaching Assistant Engineering Job Posting Title (Working Title):Teaching Fellow - SEE - In-Person (Sustainable Energy Engineering) Role/Level/Range: ATO 37.5/03/OI Starting Salary Range: $31.10 - $54.50 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 37.5hrs/wkly; 7 days - Course runs June 29 to July 24, 2026, Monday through Friday, from 9 a.m. to 3 p.m. for most locations. There will be training and preparation required ahead of the first day of class and course close-out after the course ends FLSA Status:Non-Exempt Location: Mount Washington Campus Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering

POSITION:Program Coordinator/Lecturer or Sr, Lecturer, Biotechnology Division REPORTS TO:Program Director, Biotechnology Division INSTITUTION:Johns Hopkins University Advanced Academic Programs The Advanced Academic Programs (AAP) is a division of the Krieger School of Arts & Sciences at Johns Hopkins University (JHU). AAP was established in 1992 to provide students with the opportunity to obtain a master's degree in a professional and part-time graduate program. Over the course of nearly 30 years, AAP has worked diligently to add new degree programs that fit within the academic structure of the Krieger School and satisfy the demands of the marketplace. It now boasts student numbers of over 6,000 across 26 programs, with classes offered online and onsite in both Washington, D.C. and the Baltimore Homewood Campus. AAP distinguishes itself through its intensive instructional assistance, selective admissions, and dedicated full-time faculty. Position Description: The Johns Hopkins University invites applications for the position of Program Coordinator in the Center for Biotechnology Education which is housed within the Krieger School of Arts & Sciences' Advanced Academic Programs (___). We are seeking an educator with experience teaching and engaging students from diverse backgrounds who can also model teaching excellence. The Program Coordinator's roles are primarily academic, with a minor amount of administrative duties, both detailed below. This position is a full-time, non-tenure-track, 12-month renewable faculty appointment with the academic title of Lecturer or Senior Lecturer.Applicants must be comfortable teaching across modalities which include remote, in-person, or hybrid. Salary The expected salary range for this position is:$80,200 - $109,000. The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to, the experience and qualifications of the selected candidate - e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reasonably determined by the University. Academic Responsibilities: • Teaching six graduate courses per year, • Modeling teaching excellence using best practices for teaching, • Engaging, advising, and mentoring students from diverse backgrounds, • Developing and providing input on the curriculum and new course development, • Participating in faculty hiring and development process, • Master's degree in a life science, computer science, or engineering field with five years of experience after the degree., • One to two years of teaching experience online and/or at the graduate level, • Terminal degree (Doctorate, Ph.D.) in life science, computer science, or engineering field with research experience, • Three or more years of teaching experience online and/or at the graduate level, • Three or more years of work experience in life science and/or biotechnology field, • Expertise in Regenerative and Stem Cell Technologies, • Ability to teach onsite courses as needed, • Ability to work independently in a fast-paced environment with competing demands and multiple deadlines, • Cover letter, • CV, • Teaching evaluations for the two most recent semesters taught., • Teaching philosophy Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: ___. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at ___. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit ___. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the ___. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit ___ and all other JHU applicants should visit ___. The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

< In this 6-week, one-credit, asynchronous online course, students will dive into Python programming with no prior development experience needed. They will explore key concepts like creating a Python environment, common data types, conditional statements, common data structures, iterators, file input and output, functions, and code formatting. The course concludes with an introduction to object-oriented programming. Each lesson features code samples, hands-on exercises, and readings from the free textbook Python for Everybody. By the end, students will have a solid understanding of Python and be ready to solve small-scale programming challenges with confidence. We are seeking aTeaching Assistants - Ontro to Pythonwho will be punctual, have a positive attitude, treat students with respect, and generate enthusiasm for learning. They must also be able to effectively communicate both orally and in writing. TAs and Graders must have completed their first year of an engineering degree and demonstrate knowledge of the content covered in Intro to Python. Specific Duties & Responsibilities • Must be present and available for the duration of the course. Must login to the online course at least five of seven days per week., • Must be comfortable with the course material and be able to relate the curriculum to high school students., • Must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course., • Must ensure that child safety protocols are upheld., • Must work with the instructor to monitor the discussion board, answer student emails, and submit feedback for Practical Exercises., • Must work with the Instructor to develop a sense of community for the high school students participating in this online class., • Must work with Instructor and other TAs to respond to all student questions within 24 hours., • Must be able to assist students remotely as they conduct the various lab activities and projects throughout the course., • Instructors must arrange for at least two study session hours each week that are hosted by one member of the team. The study session hours should be scheduled so that all students may participate in at least one hour each week. Minimum Qualifications • High School Diploma/GED, • Must have completed their first year of an engineering degree and demonstrate knowledge of the content covered in Intro to Python., • Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors., • All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU., • Availability to participate in pre-course training., • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Special preference will be given to students who have completed EN.500.113 Gateway Computing: Python, • Must be able to effectively communicate both orally and in writing. Special knowledge, skills, and abilities • Must have knowledge of the Python programming language. Technical qualifications or specialized certifications • Familiarity with Canvas or similar LMS., • Proficient with the Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams., • Proficient with Zoom or similar video conferencing software. Physical Requirements • Access to remote/virtual work environment for training prior to course., • Access to remote/virtual work environment during the course. Classified Title: Teaching Assistant Job Posting Title (Working Title):Teaching Assistant - Intro to Python (Pre-Collegiate Programs) Role/Level/Range: ACRO37.5/03/CE Starting Salary Range: $19.75 - $35.35 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 20hrs/wkly; 7 days - The asynchronous course runs for two 6-week sessions. Session 1 is May 18 to June 28, 2026 and Session 2 is June 29 to August 10, 2026. Additionally, there will be training before the course starts and wrap-up activities after the cou FLSA Status:Non-Exempt Location: Remote Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering