Trabajos teaching assistant en Lowell, MassachusettsCrear alertas

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.

The Assistant Teaching Professor will also contribute to program development, student pathways, and strategic initiatives that strengthen both the Portuguese curriculum and the broader engagement work of the Center. Anticipated salary based on qualifications is Anticipated salary, based on the quali

Teaching statement/philosophy to include a statement on teaching philosophy, highlighting the applicant’s record of teaching. The University of Massachusetts Lowell is seeking an Assistant Teaching Professor to join the faculty of the School of Criminology and Justice Studies (SCJS). Salary range

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.

The Department of Mechanical and Industrial Engineering (MIE) at the University of Massachusetts Lowell (UMass Lowell) invites applications for a full-time Assistant Teaching Professor position starting in September 2026. Evidence of teaching effectiveness, including teaching evaluations, if availab

Salary range of $75,000 - $105,000, based on Assistant Teaching Professor rank and qualifications. Evidence of teaching effectiveness, including teaching evaluations, if available. Record of successful teaching experience at the college level.

Anticipated salary range of $75,000 - $110,000 based on Assistant Teaching Prof. The Department of Chemical Engineering of the Francis College of Engineering (FCOE) at the University of Massachusetts Lowell (UMass Lowell) invites applications for a full-time, non-tenure-track Assistant Teaching Prof

General Summary of Position: The Department of Environmental, Earth and Atmospheric Sciences (EEAS) at the University of Massachusetts Lowell invites applications for a full-time, non-tenure-track Visiting Lecturer. This position focuses primarily on teaching undergraduate courses for non-science majors in environmental science and Earth system science. The position is renewable annually, potentially leading to an appointment of Assistant Teaching Professor following three consecutive years of excellent performance evaluations. The successful candidate will be a dedicated educator committed to inclusive, student-centered teaching and active participation in departmental and university service. About the University of Massachusetts Lowell The University of Massachusetts Lowell is a nationally ranked public research university committed to excellence in teaching, research, and community engagement recently earned the Carnegie Mellon R1 Research classification. UMass Lowell, ranked as the top public university in the state by the Wall Street Journal in 2024 and 2025, prepares students to succeed academically and professionally while becoming informed, engaged citizens in a global society. Located just 25 miles north of Boston, UMass Lowell offers affordable, experience-based undergraduate and graduate programs taught by internationally recognized faculty across a wide range of disciplines. UMass Lowell builds on a strong tradition of innovation, entrepreneurship, and partnerships with industry and the community to address regional and global challenges. About the Department of Environmental, Earth and Atmospheric Sciences The Department of Environmental, Earth, and Atmospheric Sciences (EEAS), part of the Kennedy College of Sciences, focuses on understanding and solving Earth system and environmental challenges through interdisciplinary education, research, and community engagement. Key research areas within EEAS are focused on climate and climate change research, weather forecasting and extreme events, state-of-the-art laboratory and field methods in geochemistry and pollution, and assessment of Earth system changes across geologic to modern timescales. The department is committed to excellence in teaching, research, and service, with an emphasis on interdisciplinary collaboration and student success. Primary Duties and Responsibilities: • Teach the equivalent of 18 credit hours per academic year, including courses for non-science majors and introductory courses focused on geology, environmental science, and atmospheric science., • Prepare and deliver engaging, inclusive, and effective course materials, • Participate in departmental, college, and university service activities, • Engage and recruit prospective high school and transfer students, • Develop interdisciplinary collaborations within the university and the greater Lowell community, • Provide academic advising to a minimum of 12 EEAS undergraduate students, • MS in Environmental Science, Geology, Atmospheric Sciences, or a closely related field, • Demonstrated ability or strong potential to develop new courses, • Willingness and ability to teach introductory courses outside one's primary area of expertise, • Commitment to fostering student engagement, inclusion, and a strong sense of belonging, • The ability to work effectively in teams, • Demonstrated excellence in undergraduate teaching, particularly in introductory environmental science, Earth system science, or geology courses, • Experience teaching non-science majors and supporting students with diverse academic backgrounds, • Evidence of effective use of student-centered, active-learning, or inclusive teaching practices, • Experience developing or revising courses to improve student engagement, learning outcomes, and retention, • Commitment to mentoring and advising undergraduate students, • Experience with instructional laboratories or hands-on learning environments This is a full-time, benefited, non-union position. For non-union visiting position, anticipated salary is minimum of $65,000 with maximum up to $100,000 /year based on qualifications and visiting rank. Review of applications will begin immediately, and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Current Curriculum Vitae, • Cover Letter detailing accomplishments; teaching interests, experience and philosophy; and professional background, • Evidence of Teaching effectiveness (e.g., student course evaluations for all courses, department chair reviews, teaching awards), • Teaching Evaluations: Include all student course evaluations for the last five years or equivalent for an earlier period if not currently teaching

General Summary of Position: The Department of World Languages and Cultures at the University of Massachusetts Lowell invites applications for a full-time, non-tenure-track position at the rank of Assistant Teaching Professor of Portuguese Studies. The successful candidate will play a central role in sustaining and strengthening Portuguese language instruction at UMass Lowell, supporting program growth, and advancing the mission of the Saab Center for Portuguese Studies as a core faculty affiliate. This position is teaching-focused and is designed for a faculty member who is deeply committed to undergraduate education, student engagement, and community-connected learning. Primary Responsibilities: Teaching: The standard teaching load for this position is 3 courses per semester (3-3). The successful candidate will teach undergraduate courses in Portuguese language, literature, and culture, including Portuguese 1-4 and upper-level (3000-4000) courses in Lusophone culture, literature, and related topics, taught in Portuguese or English as appropriate. The Assistant Teaching Professor is expected to demonstrate excellence through thoughtful course design, inclusive pedagogy, and evidence-based instructional practices that support student learning and persistence. Candidates should be prepared to teach students with diverse backgrounds and learning goals and to foster a supportive, student-centered classroom environment. Student Engagement and Advising: A core expectation of this position is active engagement with students beyond the classroom. Responsibilities include advising undergraduate students in Portuguese, mentoring them academically and professionally, and supporting recruitment, retention, and program growth. The candidate will serve as a faculty advisor to relevant student organizations and promote study abroad opportunities in Lusophone countries, guiding students through preparation, participation, and post-experience integration. Service and Community Engagement: The Assistant Teaching Professor will engage in service at the department, college, and university levels, with particular emphasis on advancing the academic and community-engaged mission of the Saab Center for Portuguese Studies. Service will include initiatives that enhance the visibility and impact of Portuguese Studies at UMass Lowell; outreach to local Portuguese American communities; and engagement with regional and international Lusophone organizations. The Assistant Teaching Professor will also contribute to program development, student pathways, and strategic initiatives that strengthen both the Portuguese curriculum and the broader engagement work of the Center. Preferred Areas of Expertise: Area of specialization is open. Preference will be given to candidates who can contribute to multiple areas of the curriculum and who bring experience in innovative language teaching, experiential or community-engaged learning, and student-centered pedagogy. Familiarity with ACTFL standards and second-language proficiency assessment is desirable. Commitment to Inclusive Excellence: The University of Massachusetts Lowell is committed to building a diverse and inclusive academic community. We seek candidates who demonstrate a strong commitment to inclusive teaching practices and who can contribute to the university's goals of equity, access, and student success. Minimum Qualifications (Required) • Ph.D. in Portuguese Studies, • Native or near-native proficiency in Portuguese and English, • Demonstrated excellence in undergraduate teaching in Portuguese language and/or Lusophone studies, • Evidence of effective student engagement and inclusive pedagogy, • Evidence of experience building or strengthening Portuguese Studies or related language programs, including curriculum development, enrollment growth, or community partnerships, • Experience with heritage language learners and pathways that support recruitment, retention, and student success, • Experience working with international or cultural foundations that support Portuguese language and Lusophone studies, • Experience collaborating with diplomatic or cultural offices on educational or cultural programming Review of applications will begin immediately, and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Employment is contingent upon completion of a successful background and CORI check, and verification of credentials. This position is full-time, benefited and in the MSP union. Anticipated salary based on qualifications is Anticipated salary, based on the qualifications/rank for Assistant Teaching Professor in Portuguese Studies will be $75,000 - $80,000. Please include the following required documents with your application: • Cover letter, • Curriculum vitae, • Evidence of teaching effectiveness, • Names and contact information of three references will be required during the application process. The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

Manning Endowed Professor Positions, (2) 1 for Information Systems, and 1 for Operations Management The Operations & Information Systems (OIS) Department at the Robert J. Manning School of Business, University of Massachusetts Lowell, is seeking to hire two Manning Endowed Professors in the areas of Information Systems (with focus in AI, AIS, Data Analytics) and Operations Management (with focus in SCM, Business Analytics). These two professors will lead the department activities in research, teaching and community engagement. The Manning School of Business boasts a vibrant community of over 3,750 diverse undergraduate and graduate students and holds accreditation from AACSB International. Situated in a modern facility, i.e. Pulichino Tong Business Center, equipped with cutting-edge classrooms, the school offers an unparalleled learning environment. Nestled just 30 miles northwest of Boston, UMass Lowell is an R-1 institution, with its expansive campus catering to over 18,000 students. The Wall Street Journal ranked UMass Lowell in the top public university in Massachusetts in its 2024 Best Colleges report and U.S. News & World Report's 2026 national rankings of top colleges and universities gave high marks to UMass Lowell for the education and economic value it provides to students. The news outlet ranked UMass Lowell as No. 1 "best value school" in Massachusetts and No. 92 in the country. The OIS Department has a full-time faculty of thirteen members and offers programs at the undergraduate, Master's, and Ph.D. levels. Faculty and Ph.D. students in the department maintain a high-level research record and collaborations worldwide. Position Overview: The Operations & Information Systems (OIS) Department at the Robert J. Manning School of Business, University of Massachusetts Lowell (UML) invites applications for up to two Manning Endowed Professor positions as part of a cluster hire in: • Information Systems with focus in AI, AIS, Data Analytics About the Manning School of Business • AACSB-accredited, serving 3,750+ undergraduate and graduate students., • Located in a state-of-the-art facility just 30 miles northwest of Boston., • Part of UMass Lowell, the second-largest public university in Massachusetts, with more than 18,000 students., • Competitive 9-month base salary plus 1-month summer salary annually., • Substantial research funding (conference travel, seminars, research support)., • Access to Ph.D. research assistance and administrative support., • Teaching load: up to 2 courses per academic year., • Lead impactful research, teaching, and community engagement in area of specialization, • Publish in top peer-reviewed journals and present at major conferences., • Teach undergraduate and graduate courses (on campus and online)., • Supervise doctoral research and serve on dissertation committees., • Pursue internal and external funding opportunities. Minimum Qualifications (Required): • Ph.D. in Business Administration with concentration in IS/AIS from an AACSB-accredited business school or closely related areas., • Experience teaching at the college level., • Record of high-quality peer-reviewed publications and conference presentations., • At least 3 or more years as an Assistant Professor (for Associate Professor appointment) at a research university., • 3-5 years teaching AI/AIS/Data Analytics (preferably in a business school)., • Demonstrated research in business applications of AI-Analytics, AIS, etc., • Experience of editorial review board in leading journals of the field as an ERB member, AE/SE/DE, • Experience with online teaching., • Evidence of external funding activity. Minimum Qualifications (Required): • Ph.D. in Business Administration with concentration in OM/SCM from an AACSB-accredited business school or closely related areas., • Experience teaching at the college level., • Record of peer-reviewed publications and conference presentations., • At least 3 or more years as an Assistant Professor (for Assoc Professor appointment) at a research university., • 3-5 years teaching Supply Chain Analytics (preferably in a business school)., • Demonstrated research in business applications of Operations, SCM or Business Analytics., • Experience of editorial review board in leading journals of the field as an ERB member, AE/SE/DE., • Experience with online teaching., • Evidence of external funding activity. This is a Massachusetts Society of Professors/MTA/NEA union position. Salary range of $75,000 - $244,000, based on rank and qualifications. Review of applications will begin immediately and continue until positions are filled. The search may close once an adequate pool of qualified applicants is identified. Members of the search committee will be present at the major upcoming conferences, i.e. INFORMS, DSI, ICIS to meet and answer questions but no formal interview will be conducted at the conferences. Interested candidates should apply for only one position (either IS/AIS or OM/SCM/BA), based on their best judgment. Please clearly indicate which position you are applying for in your cover letter. This role involves a balanced combination of research and teaching across undergraduate, master's, and doctoral levels, with high expectations in both areas. Strong, established leadership skills are also required. Please submit the following required materials with your application via the UMass Lowell electronic application system: • Comprehensive CV, • Cover letter describing leadership, research agenda, teaching, funding record, collaborative work, and global/local perspectives. Please clearly indicate which position you are applying for in your cover letter., • Publication List, • Evidence of teaching effectiveness (student evaluations, supervisor report, or professional development assessment).

General Summary of Position: The University of Massachusetts Lowell is seeking an Assistant Teaching Professor to join the faculty of the School of Criminology and Justice Studies (SCJS). The area of expertise is open, but candidates who can teach research methods courses will receive enhanced consideration. Successful applicants will have completed a Ph.D. in criminology, criminal justice, or a related field, with a record of high-quality teaching and the ability to engage in significant service to our students. The start date for the position is September 2026. The position will remain open until filled. The SCJS is housed within the University's College of Fine Arts, Humanities, and Social Sciences (FAHSS). The College is the largest unit of the University, with 12 academic departments and over 220 full-time faculty. FAHSS has experienced significant growth in recent years, including hiring over 50 new faculty members, achieving a 70% growth in funded research expenditures, and the addition of several new interdisciplinary graduate programs. The SCJS enrolls 700 undergraduates who major in Criminal Justice, with an additional 400 Criminal Justice master's students, and 45 doctoral students. The School offers an undergraduate degree (Bachelor of Science) in criminal justice, a master's degree in criminal justice (Master of Arts), a master's degree in security studies (Master of Arts or Master of Science), five graduate certificate programs, and a doctoral degree in Criminology and Criminal Justice. Our nationally ranked Ph.D. program has two tracks: Track 1 - Criminology and Criminal Justice and Track 2 - Criminology and Criminal Justice with a concentration in the study of terrorism. The SCJS currently has 19 tenure track faculty members, 3 full-time teaching professors, and over 20 adjunct faculty members. Faculty members specialize in a wide range of scholarly topic areas, including victimology, policing, institutional and community corrections, terrorism, violence, the classification, treatment and control of sex offenders, substance abuse, criminal justice technology, and a variety of global justice issues. Faculty members have expertise in quantitative, qualitative, and mixed methods research, with a high level of scholarly output. Externally funded research by the SCJS faculty is currently supported by several million dollars in grants from major funding agencies. The School's faculty collaborate with local, state, and federal criminal justice agencies, while also working in partnership with other faculty and organizations globally. Additionally, the SCJS is home to three high profile academic journals: Victims & Offenders, Democracy & Security, and Perspectives on Terrorism. The University of Massachusetts Lowell is an equal opportunity employer. For more information about the School, please visit our homepage: Minimum Qualifications (Required), all candidates: • Completed Ph.D. degree in Criminology, Criminal Justice, or closely related social science field, with a clear focus on criminal justice topics., • Ability to teach substantive courses in criminal justice and criminology. This is a benefited, Massachusetts Society of Professors/MTA/NEA union position. Salary range of $75,000 - $90,000, based on Assistant Teaching Professor rank and qualifications. Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application. • CV, • Cover letter, • Teaching statement/philosophy to include a statement on teaching philosophy, highlighting the applicant's record of teaching., • Names and contact information of three professional references will be required at the time of application. The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The Operations & Information Systems (OIS) Department at the Robert J. Manning School of Business, University of Massachusetts Lowell, invites applications for a one-year Visiting Faculty position for the 2026-27 academic year, starting from Fall 2026 semester. Position is renewable for up to four years. This visiting position is primarily in the field of information systems, with a preferred ability to teach courses in data analytics and AI, in-person and on-line. This is a one-year contracted position that would be a good fit for a newly graduated Ph.D., an Assistant Professor without a full-time position, a strong ABD candidate, or a practitioner with significant and relevant professional experience. The primary responsibilities will be to provide high-quality teaching, mentor students, and develop/support strategic business partnerships with organizations in the region for student-related activities, such as internships, co-ops and capstone projects. The OIS Department houses a group of highly research-active faculty in two main areas - Information Systems and Operations Management. The department currently delivers programs in Undergraduate, Masters, and Ph.D. programs in both areas, including two undergraduate major concentrations, two minors, two graduate certificates, two MBA options, one MS program, and two Ph.D. concentrations. In addition to traditional face-to-face course offerings, UMass Lowell has a large and growing set of online courses on Canvas and programs. The standard teaching load for this job is 4 courses per semester. Nestled just 30 miles northwest of Boston, UMass Lowell is an R-1 institution, with its expansive campus catering to over 18,000 students. The ___ ranked UMass Lowell as the No. 1 public university in Massachusetts, its No. 1 best value public institution in the state, and the No. 1 university in the state for fostering social mobility. The rankings also include UMass Lowell among the top 20 overall institutions in Massachusetts and highlight the university's commitment to providing career-related experiences to all students. The OIS Department has a full-time faculty of thirteen members and offers programs at the undergraduate, Master's, and Ph.D. levels. Faculty and Ph.D. students in the department maintain a high-level research record and collaborations worldwide. Minimum Qualifications (Required): • MBA or a master's degree in closely related disciplines from an AACSB accredited institution (preferred), • 3-5 years of work experience in field of IS/IT, • The ability to work effectively with diverse groups, • Ph.D. degree (or ABD, all-but-dissertation) in Information Systems or related areas from an AACSB accredited institution, • Ability to teach courses in MIS with focus on AI and data analytics, • Professional experience relevant to AI, data analytics or related areas This is a full-time, benefited non-unit position. Anticipated salary range of $65,000-$100,000 based on visiting rank and qualifications. Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applicants is received. Please include the following required documents with your application: • Resume/CV, • Cover letter detailing teaching interests, teaching experience, and professional background, • Evidence of teaching effectiveness, if available (e.g., student course evaluations, department chair reviews, teaching awards), • Evidence of article publications in newspapers, magazines or journals, • Evidence of strategic partnerships with industry The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The Francis College of Engineering (FCOE) at the University of Massachusetts Lowell (UMass Lowell) is searching for outstanding candidates for a full-time tenure-track Assistant Professor position in Biomedical Engineering. The position is anticipated to begin in September 2026. UMass Lowell's Department of Biomedical Engineering trains students to translate discoveries into real-world applications in the medical device and biotechnology industries through an ABET-accredited B.S. program-Massachusetts' first at a public university-with specialized tracks in medical device development, cell and tissue engineering, and biomechanics. Students can accelerate their education with a 4+1 B.S.-to-M.S. option and pursue advanced studies via the intercampus Biomedical Engineering and Biotechnology (BMEBT) M.S./Ph.D. or the Ph.D. in Biomedical Engineering, all enhanced by hands-on research in cutting-edge labs and core facilities. Our collaborative research is funded by NSF, NIH, DoD, and industry partners, fostering a culture of innovation and scholarship. The department maintains strong partnerships with UMass Chan Medical School, interdisciplinary robotics and human performance (PEAK) centers located on the UML campus, and M2D2, our medical device and biotech incubator. The successful candidate should aim to establish an externally funded and internationally recognized research program, teach at both undergraduate and graduate levels, and contribute to the department's mission through service and promotion of inclusive excellence. Our faculty are teacher-scholars who integrate their teaching, mentoring, and research to create dynamic learning environments for our students. UMass Lowell is a nationally recognized public research university that is rapidly growing. The WSJ ranks UMass Lowell as Massachusetts' top public university and the best in the state for both "Best Value" and social mobility. We are a Carnegie R1 research university, and our students benefit from the UML Guarantee-every first-time, first-year student can participate in at least one paid, credit-bearing, or career-connected experience. Our inclusive campus has received the HEED Award six times, and UMass Lowell is the Commonwealth's only AASHE STARS Platinum institution-one of only a few worldwide. Along with strong graduate outcomes, 95% of graduates find their next step within months. These awards reflect a culture that combines research excellence with student success. Within the FCOE, faculty are part of an ABET-accredited, industry-engaged community that includes biomedical, chemical, civil, environmental, electrical, plastics, mechanical, and computer engineering. Our college has over 3,000 undergraduate and graduate students, with 20 percent identifying as female and 25 percent as underrepresented minorities in engineering. Collaboration is central to our research environment: the NERVE Center advances robotics and human-robot interaction; the Fabric Discovery Center connects advanced textiles to health and defense; the Raytheon-UMass Lowell Research Institute (RURI) and Printed Electronics Research Collaborative (PERC) drive the development of next-generation electronics; and our campus-wide Core Research Facilities offer open access to more than 100 instruments and expert staff. Hands-on spaces, such as the Lin MakerSpace, and entrepreneurship programs, like DifferenceMaker, foster discovery and real-world impact. At the core, we are a university committed to student success and development. Minimum Qualifications (Required): • Ph.D. in Engineering, Physics, or a closely related discipline., • Dedication to teaching undergraduate and graduate students in Biomedical Engineering., • Demonstrated excellence in research and publication., • Ability to work effectively with diverse groups of students and faculty., • Record of successful teaching experience and curriculum development at the college level., • Interest in developing interdisciplinary collaborations across engineering, computing, and applied sciences., • Experience working with diverse student populations and employing inclusive pedagogical approaches., • Postdoctoral research and previous experience working with industry. This is a benefited, Massachusetts Society of Professors/MTA/NEA union position. Anticipated salary range of $75,000 - $127,000 based on Asst. Prof. rank and qualifications. Review of applications will begin immediately and continue until the position is filled. and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum vitae, • Cover letter, • Statement of research experience, accomplishments, and interests (maximum of five pages) (uploaded as a single file), • Statement of teaching interests and philosophy (maximum of two pages) (uploaded as a single file), • Inclusivity statement (one page), • Up to three representative publications (uploaded as a single file)

General Summary of Position: The Department of Mathematics and Statistics at the University of Massachusetts Lowell invites applications for one or more full-time tenure-track faculty positions in Statistics at the rank of Assistant Professor to start on September 1, 2026. Higher ranks may be considered for well-qualified candidates; however, preference will be given to Assistant professor rank. Candidates from all fields of statistics are invited to apply. Preference will be given to applicants actively engaged in interdisciplinary research with an established track record and/or potential for high-quality research. The successful candidate will be expected to publish in scholarly journals, initiate and participate in funded research programs and contribute to the teaching mission of the department. The Department of Mathematics and Statistics offers bachelor's and master's degrees as well as an interdisciplinary Computational Mathematics Doctorate degree with the Computer Science department. Within statistics, we offer a BS degree in Statistics and a BA degree in Actuarial Studies, along with an MS degree in Probability & Statistics. The department has a diverse group of faculty members actively engaged in research, some working in collaboration with computer science, engineering, business and public health, both within and outside of the university. Candidates interested in establishing research collaborations with faculty members in the department or across the university are encouraged to apply. For more information, see ___. Minimum Qualifications (Required): • Earned Doctorate in Statistics, Biostatistics, Mathematics or related fields by Sept 1, 2026, • A record of quality research, • A strong record of interdisciplinary research, • An additional position may be made available for collaborative work with biology This is a full-time, benefited Massachusetts Society of Professors/MTA/NEA union position. Salary range within College of Science for rank of an Assistant Professor is minimum of $75,000 with anticipated maximum of $120,000 based on qualifications. Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum Vitae, • Cover Letter, • Research Statement including research goals, past research accomplishments and a 3-year research plan, • Teaching Statement which provides details of previous teaching experience, • Names and contact information for three references will be required at the time of application. References will be contacted for a letter of reference immediately after application submission. References will be required to upload recommendation letters to our on-line portal; neither emailed nor hard-copy letters will be accepted. *Three letters of reference are required (at least one of which addresses the applicant's teaching experience or potential). The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The Department of Music in the College of Fine Arts, Humanities, and Social Sciences at the University of Massachusetts Lowell invites applications for a full-time, tenure-track or tenured faculty position in Composition for New Media, to begin September 2026. We seek an artist-scholar whose creative and pedagogical work integrates music theory, composition, and technology to engage contemporary practices in sound and music for emerging media. The successful candidate will join a dynamic department dedicated to preparing students for careers in music performance, production, and innovation. Position Overview: The successful candidate will teach courses in areas including Digital Orchestration, Arranging, Songwriting, Music for Multimedia, Synthesis, DAW Production, Music for Games, Interactive Music, Sound Design, and Applied Composition. Faculty in this role are expected to: • Develop and teach courses across theory, composition, and new media;, • Maintain an active record of creative and/or scholarly work;, • Mentor undergraduate students in composition and interdisciplinary creative projects; and, • Game music and interactive audio, • Music for film, television, or other multimedia contexts, • Commercial and popular music production The University of Massachusetts Lowell is a Research 1university and an inclusive campus community located 25 miles northwest of Boston. The Department of Music offers undergraduate programs in Composition for New Media, Music Business, Music Studies, Performance, and Sound Recording Technology, and supports interdisciplinary collaborations across the arts, engineering, and digital media. The department emphasizes both artistic excellence and innovation in preparing students for professional careers in today's music and media industries. Learn more about the Department at ___ Minimum Qualification (Required) • Terminal degree in Music or a closely related field (e.g., DMA, PhD, DA, DFA, MFA) by the time of appointment., • Evidence of strong creative and/or scholarly achievement commensurate with the rank applied for, which may include published compositions, live performances, installations, and other musical output, as well as juried articles, books, or other publications in print., • Professional or creative experience in at least one area of new media composition (e.g., game audio, film/TV scoring, multimedia composition, commercial music production, or sound art)., • Evidence of effective college-level instruction in composition., • Experience teaching contemporary music theory and musicianship., • Record of curricular development or program design in music technology or composition., • Experience mentoring student creative projects in new media or interdisciplinary contexts. To be considered for the rank of Full Professor: This is a full-time, benefited Massachusetts Society of Professors/MTA/NEA union position. Anticipated salary range of $75,000 - $100,000 based on Assistant Prof. rank and qualifications. For Associate Professor -anticipated salary range of $85,000 - $120,000 based on rank and qualifications. For full Professor- anticipated salary range of $100,000 - $178,000 based on rank and qualifications. Review of applications will begin Review of applications will begin January 23, 2026, and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum vitae (CV), • Cover letter describing qualifications and creative/research agenda, • Links to representative works or recordings (e.g., portfolio, website), • Names and contact information of three references will be required during the application process (please do not send recommendation letters). The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The Department of Chemical Engineering of the Francis College of Engineering (FCOE) at the University of Massachusetts Lowell (UMass Lowell) invites applications for a full-time, non-tenure-track Assistant Teaching Professor in Nuclear Engineering, starting September 1, 2026. This position is part of the FCOE's growing Nuclear Engineering Program. The successful candidate will join the department and college faculty and will be responsible for teaching undergraduate and/or graduate courses, advising students majoring in nuclear engineering, contributing to curriculum development and student success initiatives, and participating in other service activities such as student recruiting and outreach events. Teaching faculty play a crucial role in promoting the department's educational mission, engaging students in experiential learning, and fostering a diverse and inclusive academic community. Minimum Qualifications (Required): • Ph.D. in Nuclear Science and Engineering, Chemical Engineering, or a closely related field at the time of appointment., • Demonstrated experience teaching essential nuclear engineering courses (e.g., reactor theory, reactor engineering, reactor design) to a diverse student body., • Experience with nuclear instrumentation, research reactors, teaching experiments, as well as online education and course management systems, will be considered an advantage., • Ability to teach Chemical Engineering courses (e.g., numerical methods, heat transfer, fluid mechanics, transport phenomena, thermodynamics, etc.)., • Experience using technology in teaching, including nuclear design codes, programming, and artificial intelligence., • Experience developing or teaching laboratory-based courses using research reactors, radiation detection, or nuclear instrumentation., • Experience using and teaching with contemporary nuclear engineering tools standard in academia, industry, and national laboratories (e.g., OpenMC, MCNP, MOOSE, SERPENT) as part of simulation, design, or data-driven coursework. This is a full-time, benefited Massachusetts Society of Professors/MTA/NEA union position. Anticipated salary range of $75,000 - $110,000 based on Assistant Teaching Prof. rank and qualifications. Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum vitae, • Cover letter, • Teaching sample, • Teaching Statement/Philosophy, • Inclusivity statement

General Summary of Position: The successful candidate will join the department and college faculty, responsible for teaching undergraduate and/or graduate courses, engaging in curriculum development, contributing to professional activities, and participating in relevant departmental and university service, including outreach. Teaching faculty play a crucial role in promoting the department's educational mission, engaging students in experiential learning, and fostering a diverse and inclusive academic community. The CEE department is growing, and its Environmental Engineering program is rapidly expanding. The department offers two ABET-accredited bachelor's degree programs (Bachelor of Science in Civil Engineering and Environmental Engineering), along with M.S. and Ph.D. programs in Civil and Environmental Engineering. The department currently has 14 full-time faculty members, one visiting professor, and two full-time staff members, serving approximately 400 undergraduate and graduate students. UMass Lowell is a nationally recognized public research university that is experiencing rapid growth. The WSJ ranks UMass Lowell as Massachusetts' top public university and the best in the state for both "Best Value" and social mobility. We are a Carnegie R1 research university, and our students benefit from the UML Guarantee-every first-time, first-year student can participate in at least one paid, credit-bearing, or career-connected experience. Our inclusive campus has received the HEED Award six times, and UMass Lowell is the Commonwealth's only AASHE STARS Platinum institution-one of only a few worldwide. Along with strong graduate outcomes, 95% of graduates find their next step within months. These awards reflect a culture that combines research excellence with a focus on student success. Within the Francis College of Engineering, faculty are part of an ABET-accredited, industry-engaged community that includes biomedical, chemical, civil, environmental, electrical, plastics, mechanical, and computer engineering. Our college has over 3,000 undergraduate and graduate students, with 20 percent identifying as female and 25 percent as underrepresented minorities in engineering. Collaboration is central to our research environment: the NERVE Center advances robotics and human-robot interaction; the Fabric Discovery Center connects advanced textiles to health and defense; the Raytheon-UMass Lowell Research Institute (RURI) and Printed Electronics Research Collaborative (PERC) drive the development of next-generation electronics; and our campus-wide Core Research Facilities offer open access to more than 100 instruments and expert staff. Hands-on spaces, such as the Lin MakerSpace, and entrepreneurship programs, like DifferenceMaker, foster discovery and real-world impact. At the core, we are a university committed to student success and development. Minimum Qualifications (Required): * A Ph.D. degree in Civil Engineering, Environmental Engineering, or closely related discipline by the start of employment. * Undergraduate and masters degrees in Civil Engineering, Environmental Engineering, or related fields. * The ability to work effectively with diverse groups of students and faculty. • Record of successful teaching experience at the college level., • Registration as a Professional Engineer, having either successfully passed the Fundamentals of Engineering exam, or having a relevant certification in the field of Environmental Engineering., • Relevant Industrial Experience., • Demonstrated competencies in advising undergraduate students, participating in outreach activities, and contributing to ongoing efforts to enhance the department's educational mission. Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application. * Curriculum vitae * Cover letter * Statement of teaching interests and philosophy * Inclusivity statement * Evidence of teaching effectiveness, including teaching evaluations, if available * Names and contact information for three professional references will be required at the time of application (please do not send recommendation letters). Optional Documents: • Statement of service activities and interests The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The UMass Lowell Susan and Alan Solomont School of Nursing seeks a full-time tenure-track faculty member with an established program of research or solid research trajectory. Priority research areas include health promotion, the healthcare workforce, and historically excluded and underserved populations, but applicants with expertise in other areas are also encouraged to apply. Tenure-track faculty are expected to teach 4 courses per year, with reductions based on research productivity; generous teaching releases are standard for assistant professors in their first four years. All faculty in the School are expected to engage in service to the School, College, and University, commensurate with rank. We seek applicants recognized for scholarly productivity, ability to work with diverse populations, and excellent oral and written communication skills. The candidate may be appointed at the Assistant, Associate or Full Professor level, depending upon qualifications. About UMass Lowell: The University of Massachusetts Lowell, located about 25 miles northwest of Boston in the high-tech corridor of Massachusetts, is a diverse public research university enrolling nearly 17,000 students. Approximately 48% of undergraduates identify as being from diverse backgrounds and 43% are first-generation college students. UMass Lowell has experienced dramatic growth in research funding, total endowments, and student enrollment over the past ten years, and was recently ranked the #1 public university in Massachusetts by the Wall Street Journal for the second time and the #1 public university in New England for return on investment. It is a Carnegie Classification Research 1 university and conducts more than $120 million in sponsored research annually. Located 30 miles north of Boston, faculty at UMass Lowell can easily collaborate with clinical sites and researchers in Boston and surrounding areas. Solomont School of Nursing Overview: A growing, dynamic, and well-regarded school established in 1968, the Solomont School of Nursing enrolls over 550 nursing students in the BS, RN to BS, Master's, Doctor of Nursing Practice and PhD in Nursing programs and has 21 full-time faculty members. NCLEX-RN pass rates and NP certification exam pass rates consistently exceed 90%. Faculty have diverse interests and conduct research in the areas of health disparities, correctional worker health, occupational health, pediatrics, and women's health. The Solomont School of Nursing is located within the Zuckerberg College of Health Sciences, a vibrant and growing community of 65 faculty and nearly 1900 students. Zuckerberg College prepares professionals and scientists in a wide range of health science fields including biomedical, pharmaceutical and nutritional sciences, physical therapy and exercise science, and public health. Faculty research within Zuckerberg College ranges from laboratory research to clinical interventions and community-based projects and there is a supportive culture of interdisciplinary research across the College. Research programs with significant funding and vibrant community partnerships and engagement opportunities enrich and support our educational programs. The College is a leader in interprofessional education, research and practice opportunities for faculty and students. Opportunities for research collaborations also exist with other UMass Lowell Colleges, Research Centers and across the 5-campus UMass system. Minimum Qualifications (Required): • Candidates must hold an earned research doctorate in nursing or a related field from an accredited institution, • Candidates with a doctorate in a field other than nursing must have a master's degree in nursing, • Candidates must hold an active RN license and a Massachusetts RN license is required prior to the start of the employment, • RN experience in the United States, • Previous and recent publication in peer-reviewed journals, • Candidates seeking Assistant Professor must have a beginning program of research and a clear research trajectory, • Candidates seeking Associate Professor must currently be at, or have credentials consistent with, tenured Associate Professor with a strong record of scholarship and recent or current extramurally supported research, • Post-doctoral education experience is strongly preferred for candidates seeking Assistant Professor, • Editorial board experience for candidates seeking Associate/Full Professor This is a benefited, Massachusetts Society of Professors/MTA/NEA union position. Anticipated salary range based on rank and qualifications with anticipated range of $75,000 - $168,000. Review of applications will begin on December 5, 2025 and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application. • CV, • Cover letter, • Teaching statement/philosophy to include a description of previous teaching experience, • Research statement, including past research accomplishments and future plan, • Copy of up to three recent research publications (upload publications (3) as one file), • Names and contact information of three references will be required at the time of application. References will be contacted after on-campus visits. One reference must be/have been a supervisor. The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

General Summary of Position: The University of Massachusetts Lowell (UMass Lowell) invites applications for two full-time, open-rank, tenure-track/tenured faculty positions beginning in September 2026. One position is in Nuclear Engineering and the other in Physics and Applied Physics, reflecting a coordinated hire spanning the Francis College of Engineering (FCOE) and the Kennedy College of Sciences (KCS). This joint search is designed to strengthen cross-college collaboration in advanced nuclear energy, fusion, and related emerging technologies. We seek collaborative scholars whose work advances nuclear engineering, nuclear science, fission and fusion energy systems, or related emerging fields. Priority areas include AI/ML method development for multiphysics modeling and simulation; the nuclear fuel cycle; reactor safety; advanced sensing, diagnostics, and measurement systems; nuclear medicine; radiation health physics; nuclear fission and fusion materials; and plasma and fusion physics. Candidates whose research involves experimental studies or leverages UMass Lowell's Radiation Laboratory-including its 1-MW research reactor, 5.5-MV Van de Graaff accelerator, and radiochemistry facilities-or who integrate AI/ML or quantum computing into their research are strongly encouraged to apply. A strong commitment to teaching at both the undergraduate and graduate levels within the Nuclear Engineering and/or Physics curricula is essential. The role also includes contributing to interdisciplinary teaching at the intersection of science and engineering to help grow technical electives and strengthen the broader nuclear science and engineering curriculum while supporting core departmental needs. Candidates who can support offerings connected to Chemical Engineering, Radiological Sciences and Medical Physics, or related fields are especially encouraged to apply. Position 1: Nuclear Engineering (Department of Chemical Engineering) This position supports the continued expansion of the ABET-accredited Nuclear Engineering and Chemical Engineering programs through research and instruction in areas aligned with advanced nuclear and fusion technologies. Areas of alignment include reactor safety-especially criticality safety and nuclear thermal-hydraulics-fuel cycle science, and behavior of materials under extreme irradiation, along with instrumentation, controls, or AI-enhanced computational methods. The role includes contributing to interdisciplinary offerings that complement the broader nuclear science and engineering curriculum. The successful candidate will participate in undergraduate and graduate instruction and collaborate with colleagues across engineering and the physical sciences. Position 2: Physics and Applied Physics (Department of Physics and Applied Physics) This position advances the department's programs in nuclear science and supports research and teaching across applied physics, radiological sciences, and medical physics. Areas of alignment include experimental programs in neutron and gamma-ray measurement science, radiation detection, nuclear data and benchmarking, radiochemistry, health physics (ABET-accredited), and materials under irradiation, with related computational or theoretical efforts also considered; interests supporting the CAMPEP-accredited medical physics program are welcome. The role includes contributing to interdisciplinary coursework that strengthens nuclear science and engineering pathways. The successful candidate will teach within the physics program and engage in collaborative, multidisciplinary research efforts. Minimum Qualifications (Required): • A PhD or equivalent degree in nuclear engineering, physics, medical physics, radiological sciences, or a closely related field., • A strong record of research and demonstrated teaching potential. These positions are full-time, benefited and in the Massachusetts Society of Professors/MTA/NEA union. Anticipated salary range per their Collective Bargaining Agreement lists a minimum of $75,000 for Assistant Professor, with Associate Professor minimum $85,000 and Professor $100,000. Anticipated maximum salary based on Professor rank, qualifications and department anticipated not to exceed $233,000. Review of applications will begin immediately, and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum Vitae (CV), • Cover Letter (Please include in your cover letter the position you are applying for)., • Teaching Statement/Philosophy, • Research Interest, • Research Statement, • Names and contact information of three references will be required during the application process. The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

Job DescriptionAre you an ECE Leader ready for an exciting new challenge? We're Growing! Open a new school with us or join an existing team! We have NEW SCHOOLS opening in MASSACHUSETTS and we are hiring MA EEC Director II Qualified Leaders to start with us NOW At Little Sprouts LLC, we value educators and are committed to meaningful change. We offer generous benefits, including a paid week off between Christmas and New Year’s, extended time off around the 4th of July, professional development, and true work-life balance—all to support a fulfilling, goal-aligned career. As a school leader, you’ll guide the educational, operational, financial, and cultural success of your center—creating a thriving environment where children, educators, and families grow together. You'll oversee daily operations such as staff scheduling, curriculum implementation, health and safety compliance, and licensing standards, while supporting and inspiring your team through strong, clear communication. This role requires both attention to detail and big-picture thinking as you balance nurturing classroom environments with financial performance and community engagement. Most importantly, you’ll lead with empathy and purpose—cultivating a space where children are celebrated, educators are empowered, and families feel truly connected. Salary Range: $70,000-$90,000 per year for Director Qualified Candidates & $52,500 to $67,549 per year for Assistant Director Candidates. ALL candidates must be MA EEC Director II Qualified.These positions qualify for an annual bonus plan based on qualitative and quantitative metrics. We Offer: • Up to 75% discount on your child's tuition, including tax-friendly tuition reduction options., • Generous time off, in addition to paid time off between Christmas & New Years Day, and additional federal holiday closures., • Comprehensive health benefits package, including health, dental, & vision all effective from start date. Additional benefit selections, including pet insurance, are also available., • Free subscription to First Stop Health for 24/7 access to virtual doctors., • 401(k) plan with eligibility for up to a 4% discretionary employer contribution each year (Must be 21+ to enroll. Eligibility starts after 60 days of employment)., • Pay increase opportunities related to job performance, updates in certification credentials, and degree completion., • Opportunities for career advancement and ongoing coaching, including a dedicated Child Conference., • People First – Prioritizing the growth and experience of our team., • Pedagogy for Tomorrow – Fostering innovative, child-focused teaching approaches., • Planet at the Core – Promoting sustainability and nature-based learning., • Must pass required state and company background checks., • Must have Director Certification (DII qualification)., • 3-10 years of experience in early childhood education or classroom management., • Strong understanding of play-based learning and social-emotional development., • Demonstrated commitment to kindness, respect, and community engagement., • Must have a high school diploma or GED; bachelor’s degree preferred., • Adhere to all company policies and EEC regulations., • Ability to stand, move, run, and play for most of the day. #LI-Onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Phillips Academy seeks a Physician Assistant for afternoon/evening weekday and weekend shifts at the Rebecca M. Sykes Wellness Center. This is an academic year plus Summer Session position (part-time, 0.39 FTE, 10 month position) and is non benefits-eligible. The scheduled shifts include those listed below in a 4-week rotation: Week 1: Thurs Week 2: Thurs, Fri, Sat Week 3: Sun, Thurs Week 4: Wed, Thurs Daily hours are Monday through Friday 1pm-10:15pm Saturday & Sunday 12pm-10:15pm Occasional work will be required outside of these hours for professional development, staff meetings, student support meetings, and teaching. Applicants must be a graduate of a Physician Assistant Program; hold current certification PA-C with licensure to practice in Massachusetts; hold current prescriptive privileges in Massachusetts; and hold a DEA license. Experience in pediatrics/adolescent medicine, urgent care, orthopedics, mental health, and reproductive health care preferred. Must feel comfortable using electronic health records for documentation. The successful candidate will maintain a strong commitment to wellness and quality health care for the students of Phillips Academy, with an emphasis on evidence-based approaches to care delivery and patient education using a culturally responsive and trauma informed approach. The ideal candidate is a professional looking for a positive work environment who works collaboratively as part of a team. Key responsibilities, under the supervision of the Dean of Health and Wellness/Chief Medical Officer, include: • provide high-quality clinical care to students seen at the Rebecca M. Sykes Wellness Center for urgent care and observation/extended care visits;, • independently perform clinical/diagnostic assessments, provide care, and formulate treatment plans (including prescribing medications, ordering diagnostic tests, and referral to specialists, as needed) for students presenting to the wellness center for acute and chronic health care needs in accordance with best practice guidelines;, • provide reproductive health care and education for students, including access to contraception;, • maintain collaborative relationship with wellness team including nurses, nurse practitioners, physician assistants, counselors, athletic trainers, physicians, and outside consultants;, • promote preventative medical care and health awareness/wellness education through individual and group interactions with students, families, and the community. Phillips Academy is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender expression, gender identity, age, physical or mental disability, genetic information, veteran status, military service, application for military service or any other characteristic protected by law. Any offers of employment will be contingent upon successful CORI/SORI, and fingerprinting background checks as well as unrestricted authorization to work in the United States.

Job Description Summary: This position requires the candidate to provide instruction and supervision to our clients in the Tech Room supporting them with apartment, job and essential services research and provide overall administrative and volunteer support for Lowell Transitional Living Center (LTLC). The activities coordinator reports to the Managing Director and is responsible for the cleanliness, safety and instruction to clients who may have limited experience and use of technology in the tech room but also recruit volunteers and keep track of them. This candidate must not only be a teacher, but also a coach. Why Work for SMOC? • Paid Time Off: All full-time employees can accrue up to 3 weeks of vacation, and 2 weeks of sick time and are eligible for 12 paid holidays during their first year of employment., • Employer-paid Life Insurance & AD&D and Long-Term Disability for full-time employees., • Comprehensive Benefits Package including Medical Plans through Mass General Brigham with an HRA Employer cost-sharing program, Dental Plans with Orthodontic Coverage, and EyeMed Vision Insurance available to full-time employees., • 403(B) Retirement Plan with a company match starting on day one for all full-time and part-time employees., • Additional voluntary benefits including; Term and Whole Life Insurance, Accident Insurance, Critical Illness, Hospital indemnity, and Short-Term Disability., • Troubleshoot common technology problems independently or with the support of the Technology Coordinator., • Collaborate with clients to create technology lessons to support teaching objectives., • Integrate technology with case management team to assist in job and housing searches., • Engage all clients by understanding and addressing their needs whether within or outside the scope of work., • Attend & participate in team meetings as requested and communicate effectively with clients and staff in other areas., • Maintain confidentiality of client, employee and agency information in accordance with federal and state laws and funder requirements., • Recruit volunteers on an ongoing basis., • Responsible for maintaining updated volunteer list and coordinating the volunteer schedule., • Ensure that incoming volunteers have completed all necessary documents and are equipped with all the materials knowledge needed to begin volunteering., • Maintain regular communication with volunteers, organize regular volunteer meetings, develop and execute volunteer recognition program., • Assist in coordinating client-centered events including the Steps to Home Walk. Etc., • Ensure compliance with program/department, agency and/or funder requirements, as well as, SMOC policies & procedures., • Assist with maintenance and cleaning of computer lab and all devices., • Teach or co-teach technology lessons with classroom teachers., • Other duties as assigned. Knowledge and Skill Requirements: • High School Diploma or GED, • Good communication skills Physical Requirement: • Capacity to perform all the duties and tasks associated with this position., • Ability to ascend and descend stairs., • Ability to clearly communicate verbally and written. Tuesday through Saturday: 10:00AM - 6:00PM. Includes a 1 hour unpaid lunch break. 35 Hours per week.

General Summary of Position: The Department of Mechanical and Industrial Engineering (MIE) at the University of Massachusetts Lowell (UMass Lowell) invites applications for a full-time Assistant Teaching Professor position starting in September 2026. We seek a candidate dedicated to excellence in teaching and student success across the department's programs. Applicants should demonstrate the ability to provide high-quality instruction in one or more of the following areas: engineering design (including first-year design, CAD, manufacturing, and/or upper-level design courses), electronics and electromechanical systems, thermofluids and laboratory instruction, or other fields within mechanical and industrial engineering. The successful candidate will join the department and college faculty and be responsible for teaching undergraduate and/or graduate courses, engaging in curriculum development, contributing to professional activities, and participating in relevant departmental and university service, including outreach. Teaching faculty play a crucial role in promoting the department's educational mission, engaging students in experiential learning, and fostering a diverse and inclusive academic community. UMass Lowell is a nationally recognized public research university experiencing rapid growth. The Wall Street Journal (WSJ) ranks UMass Lowell as the top public university in Massachusetts and the best in the state for both "Best Value" and social mobility. We are a Carnegie R1 research university, and our students benefit from the UML Guarantee-every first-time, first-year student can participate in at least one paid, credit-bearing, or career-connected experience. Our inclusive campus has received the Higher Education Excellence and Distinction (HEED) Award six times, and UMass Lowell is the Commonwealth's only AASHE STARS Platinum institution (Sustainability Tracking, Assessment & Rating System (STARS) from the Association for the Advancement of Sustainability in Higher Education (AASHE) -one of only a few worldwide. In addition to strong graduate outcomes, 95% of graduates find their next step within months. These awards reflect a culture that combines research excellence with a focus on student success. Within the Francis College of Engineering, faculty are part of an ABET-accredited, industry-engaged community that includes biomedical, chemical, civil, environmental, electrical, plastics, mechanical, and computer engineering. Our college has more than 3,000 undergraduate and graduate students, with 20 percent identifying as female and 25 percent as underrepresented minorities in engineering. Collaboration is at the heart of our research environment: the New England Robotics Validation and Experimentation (NERVE) Center advances robotics and human-robot interaction; the Fabric Discovery Center connects advanced textiles to health and defense; the Raytheon-UMass Lowell Research Institute (RURI) and Printed Electronics Research Collaborative (PERC) promote the development of next-generation electronics; and our campus-wide Core Research Facilities offer open access to over 100 instruments and expert staff. Hands-on spaces like the Lin MakerSpace and entrepreneurship programs such as DifferenceMaker encourage discovery and real-world impact. At its core, we are a university dedicated to student success and growth. The MIE Department has over 30 faculty members and more than 1,000 undergraduate and graduate students. It offers B.S., M.S., and Ph.D. degrees in both Mechanical and Industrial Engineering, as well as M.S. and Ph.D. degrees in Energy Engineering, a Ph.D. in Aerospace Engineering, and an M.S. in Engineering Management. The department encourages collaborative research and maintains strong connections with regional and national industries, national laboratories, and interdisciplinary research centers. Minimum Qualifications (Required): • Ph.D. in Mechanical Engineering, Industrial Engineering, Aerospace Engineering, Electrical or Computer Engineering, or a closely related discipline by the time of appointment., • The ability to work effectively with diverse groups of students, faculty, and staff., • Teaching experience in mechanical or industrial engineering, at either the college/university level or in professional training and development contexts., • Demonstrated ability to translate technical expertise into engaging, effective classroom or laboratory instruction., • Experience with laboratory development or experiential learning., • Professional or industry experience related to mechanical or industrial engineering practice., • Evidence of a strong commitment to student success and inclusive pedagogy. This is a benefited, Massachusetts Society of Professors/MTA/NEA union position. Anticipated salary range of $75,000 - $110,000 based on Asst. Teaching Prof. rank and qualifications. Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include the following required documents with your application: • Curriculum vitae, • Cover letter, • Statement of teaching interests and philosophy, • Inclusivity statement, • Evidence of teaching effectiveness, including teaching evaluations, if available, • Names and contact information for three references will be required at the time of application (please do not send recommendation letters). The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

Job Description Assistant Teacher Pay Range $20.84 – $23.00 per hour Company Overview Community Teamwork is a private non-profit organization located in Lowell MA. We employee over 600 employees and are a catalyst for social change. We leverage our programs, our partnerships, and our collective voice to foster equity, compassion, and community engagement by creating housing, education, and economic opportunities. Position Summary The Assistant Teacher will work in collaboration with a Lead Teacher to support children’s developmental needs and supports parents in their role as the child’s first and primary teacher. This individual will ensure that the classroom is meeting the needs of each child by analyzing classroom assessments and individual child outcomes. This data will be used to implement intentional curriculum in a nurturing, warm, safe, healthy, and developmentally appropriate classroom environment. Essential Functions and Responsibilities: • Ensure classroom compliance with all federal, state and local regulations related to Early Education. This includes compliance with Head Start Performance Standards, NAEYC Accreditation and MA Department of Early Education and Care regulations., • Ensure that clean, safe, healthy and developmentally appropriate classroom environment is maintained., • Provide daily leadership and mentoring in the classroom, guiding the work of other educators. Work cooperatively with managers, consultants and other assigned staff and volunteers., • Ensure the creation and implementation of curriculum that meets both group and individual child needs which encourages the cognitive, physical, emotional and social development of each child and family and assures that school readiness goals are being met., • Ensure the completion of health/developmental screenings and other child and program assessments as required., • Ensure the maintenance of required records including observational, behavioral, attendance and other required reports and progress notes., • Maintain effective ongoing communication with parents, Family Service Workers and other parties involved in the child’s life. This includes conducting home visits, parent/teacher conferences and case management meetings., • Ensure sight and sound supervision and monitoring of children at all times., • Encourage parents to become engaged in the program, involved in the decision making process through participation on the Policy Council, Parent center Committee, classroom activities and training opportunities., • Seek professional skill development and growth for themselves and others through participation in related skills training, and educational activities., • Protect the rights of children and families from abuse and neglect, by working as a liaison between referred families and the Department of Children & Families. Qualifications: • Desire to work with low income, culturally diverse, and at-risk families and individuals., • Excellent Customer Service, organizational, interpersonal, oral and written communication skills., • Ability to manage multiple priorities and work in a fast-paced environment., • Proficient computer skills required in basic computer software and data collection systems., • CORI/DCF and fingerprinting review prior to employment., • Bilingual a plus. The ideal candidate must be proficient in both spoken and written English, • Excellent crisis management skills., • Infant Toddler~ Infant Toddler CDA or Infant Toddler EEC Lead Teacher Certified required. Associate's degree Preferred., • Preschool~ Preschool CDA or Preschool EEC Lead Teacher certification required., • Bilingual skills (English/Spanish, English/Khmer English/Portuguese) At Community Teamwork, our employees enjoy best-in-class benefits to support their physical, financial and emotional wellness. We offer: 4 Weeks of Paid Time Off - Paid Sick Leave - 12 paid holidays. Medical, Dental, and Vision Insurance - Company Paid Life Insurance - Pet Insurance and Short Term/Long Term/Disability Insurance Tuition Reimbursement - Career Advancement and Professional Development Opportunities 5% contribution to your 401K retirement account after 6 months of employment Great co-workers and a great mission with an outstanding Community Action offering a chance to help make a real difference in the lives of those we serve Equal Opportunity Employer – Vets/Disabled This is an exciting opportunity to become an integral member of an innovative team in an organization committed to excellence.

Job DescriptionSupport Teacher Pay: $19$21 per hour Job Type: Full-time If you are looking for a dynamic school role where no two days are exactly the same, this could be a great fit. This position is ideal for someone who enjoys working with children, values teamwork, and wants to be an essential part of the daily life of the school. At Primrose, this is not a traditional assistant role with a classroom hierarchy. This is a school-based support teaching position that moves where needed, helps classrooms stay strong, and provides reliable coverage across the building. Over time, this role may become more consistently connected to one classroom based on school needs and fit. How this role works As a Support Teacher, you will work across multiple classrooms as needed during the school day. You may help with transitions, classroom coverage, daily routines, child supervision, and maintaining a calm, organized environment for children and faculty. This role is important to the consistency and stability of the entire school. What you will do • Provide classroom coverage and teaching support where needed across the school, • Supervise children in classrooms, shared spaces, and on the playground, • Help maintain a safe, positive, and organized environment throughout the day, • Support daily routines such as arrivals, transitions, meals, rest time, and cleanup, • Step into different classrooms and adapt quickly to the needs of the children and teaching team, • Help prepare materials and maintain organized learning spaces, • Build positive relationships with children, families, and faculty across the school, • Communicate professionally with teammates and leadership, • Help ensure classrooms run smoothly and consistently even when needs shift throughout the dayWhy this role stands out This role is a strong fit for someone who is flexible, dependable, and comfortable working with a variety of age groups, teaching teams, and classroom needs. It is also a strong entry point for someone who wants hands-on experience in early childhood education while developing broad school-based experience. What support looks like here • A dedicated Education Coach to help you build your classroom skills, • Daily support from a 4-person Leadership Team, • Fully stocked classrooms with materials and supplies provided, • A professional environment where teamwork, flexibility, and reliability matter What you can expect as a Primrose teacher: Compensation & Financial Security Compensation that increases with experience, education, and professional achievements Health, vision, dental, life, and short-term disability insurance starting Day 1 15 paid holidays annually, including a week off between Christmas and New Years Paid vacation starting Day 1 Paid sick time 401(k) with employer matching Workday Experience & Support Predictable schedules that allow you to plan your life outside of work Weekly, paid planning time built into the school day Reliable break coverage so you can step away, reset, and recharge during the day Fresh meals and snacks prepared daily by our in-house chef Professional Growth & Career Advancement A school culture that treats teachers as professionals and invests in their long-term success Opportunities to build competitive skills and grow professionally, with a strong track record of promoting teachers into management roles One-on-one mentorship from an experienced Education Coach An engaged four-person Management Team made up of previous Primrose teachers that support teachers throughout the school day Free early childhood education courses through our exclusive partnership with Middlesex Community College Classroom Excellence & Teaching Support Fully stocked classrooms - no personal spending required; your paycheck is 100% yours Consistent classroom rosters for the full school year so you can build meaningful relationships with your students Intentional co-teacher pairings designed to create strong classroom partnerships Expert-designed lesson plans provided by Primrose - say goodbye to spending evenings or weekends searching Pinterest or building lessons from scratch. Focus on what you do best: bringing learning to life for your students Who we are looking for • Someone dependable, adaptable, and calm in a fast-moving environment, • Someone who enjoys working as part of a larger school team, • Someone who communicates well and is comfortable stepping in where needed, • Someone who values professionalism, consistency, and supporting children across the day, • Early childhood experience is helpful, but not requiredIf you are someone who likes variety, works well with others, and wants a role where your presence makes a real difference every day, we would love to talk with you. Primrose School is an equal opportunity employer. All are welcome and celebrated here. *401(k) results vary based on market conditions, participation, and other factors. Please consult a financial advisor.

Job Description Salary Range:$6,000-$7,000 Per season Phillips Academy seeks an Assistant Coach for the varsity football program for Fall 2026. Working alongside the head varsity football coach, primary responsibility includes serving as the Assistant Football Coach for Linebackers. In this role, the Assistant Coach is responsible for developing the skills, discipline, and character of student-athletes while supporting the goals and philosophy of the Andover football program as well as the mission of Phillips Academy. This position focuses on the technical and tactical development of linebacker within the overall team’s scheme as determined by Head Coach. Key Responsibilities: • Plan and conduct position-specific practices and drills for linebackers., • Teach proper techniques, alignments, assignments, and responsibilities for position., • Assist in game planning, film breakdown, and scouting reports relevant to linebacker group., • Provide consistent feedback and instruction during practices, games, and film review sessions., • Mentor student-athletes on and off the field, promoting academic success, sportsmanship, and leadership., • Collaborate with the defensive coordinator and other staff to adjust strategies based on opponent tendencies and in-game situations., • Participate in offseason strength and conditioning programs and team events., • Ensure player safety by teaching proper tackling techniques and enforcing safety protocols., • Previous playing and/or coaching experience at the high school, collegiate, or professional level (linebackers preferred)., • Strong knowledge of defensive football concepts, terminology, and strategies., • Experience using Hudl or similar video analysis tools., • Demonstrated leadership and organizational skills. • Ability to positively motivate, inspire and be role model to students. Dates: approximately third week in August - through mid-November. Preseason practices begin on Saturday, August 29. 3-day overnight camp in late-August. Time frame: Post-Labor Day weekend (special preseason schedule), Monday. Tuesday, Thursday, Friday practice ~3:15pm-6:15pm, Wednesday ~2:30 pm – 5:30 pm. Saturday game days, home and away, starting in the first weekend of September Phillips Academy is committed to equal employment opportunity and solicits applications from all qualified applicants without regard to race, color, religion, national origin, ancestry, sex, gender identity, sexual orientation, pregnancy, age, disability (with or without a reasonable accommodation), genetic information, veteran/military status, or any other characteristic protected by federal, state, or local law. Any offers of employment will be contingent upon successful CORI/SORI and fingerprinting background checks as well as unrestricted authorization to work in the United States.

Job DescriptionDescription: Come grow with us! We are currently looking for a full-time Teaching Assistant to be part of our classroom team! Partners in Child Development offers the opportunity to join a diverse and passionate team dedicated to nurturing the growth and maximizing the potential of every child. We offer children of all abilities a solid foundation to be life-long learners and we offer staff members the chance to do meaningful, mission-based work every day. We are dedicated to nurturing the growth and development of every child to maximize their potential. We are passionate and committed to helping children and their families with programs focused on a child’s development and well-being. Our programs include an Early Intervention Program for children ages 0-3, our Anderson School, a special education school for children ages 3-16 who have complex medical needs and Woodbridge School, our early childhood education program. For over 50 years, we have been changing the trajectory of children’s lives. The Anderson School in Andover, MA provides a safe and nurturing special education school for students ages 3-16 years old with complex medical needs to maximize each student’s independence and growth. Our highly skilled, experienced and dedicated staff provide individualized instruction and support including educational and therapeutic programming. Our stimulating classroom setting includes specially designed classrooms to promote positive and active learning. High staff to student ratios including nurses in each classrooms enable our 11-month program to have non-traditional learners experience a traditional school experience. Family support is paramount including providing various on-site clinics and services to help our parents. Our school is open Monday-Friday from 8:00 am – 3:00 pm and follows a school calendar, including a summer session. The Teaching Assistant is an entry level position that works closely with the Special Education Teacher in a classroom of approximately 5 students who have multiple disabilities, moderate to severe developmental delays, and complex medical needs. The Teaching Assistant’s responsibilities include assisting our special education teachers and school therapists with implementation of IEP goals and objectives, as well as helping with classroom activities and maintaining a clean and neat classroom environment. This position will support the physical and minimal health needs of our students which may include lifting, positioning, seating, feeding, toileting/diapering, and mobility. The Teaching Assistant works closely with parents/guardians, and a team of experienced, caring, dedicated staff including a Special Education teacher, classroom nurse, and other therapists all sharing a passion for working with students with special needs. This is a full-time, 35 hours per week position. Requirements: Requirements: • High school diploma or GED, • Interest in working with children with special needs., • Prior experience working with students with disabilities is a plus., • Training or coursework in special education preferred., • Excellent oral and written communication skills., • Ability to use technology effectively., • Ability to handle a multitude of varying and complex issues., • Suitable background and fingerprint checks., • Work Schedule: Full time schedule is 35 hours a week for 11 months of the year following the school calendar with a summer session., • Time Off: Paid time off in accordance with the school calendar., • Medical: Generous company contribution. Numerous plan choices., • Dental: Company paid premiums for employee coverage., • Vision: Annual exam, allowance toward contacts & glasses., • Registered Dietitian Services., • Life & Disability Insurances: Company paid., • 403(b) retirement plan., • Pet Insurance, • Staff Development & Training Reimbursement., • Comprehensive Employee Assistance Program including, child & elder care & work-life solution location services, legal guidance, identity theft support and financial planning.

Job Description Teaching Assistant Lighthouse School® is celebrating 55+ years of excellence in the field of Special Education. We provide state-of-the-art clinical treatment and individualized academic instruction for students ages 3-22 with a wide variety of diagnoses, remaining focused on a commitment to being a “safety net” for students who most need the help. Lighthouse currently has an opening for a caring individual who desires to make a difference in the lives of children and adolescents with special needs. Benefits Include: • $1,000 Sign On Bonus, • Blue Cross Blue Shield medical and dental insurance options for full-time team members, • Company-sponsored retirement plan available for all team members, with additional voluntary retirement options, • Abundant training provided, • The Teaching Assistant is responsible for maintaining a safe, nurturing setting in which our students can thrive, working in collaboration with our interdisciplinary team, • This is a 10-month (school year) position that follows Massachusetts schools’ vacations and holidays. Part-time and full-time positions are available, • We are looking for positive, energetic, and flexible applicants that can complement Lighthouse’s amazing culture. Patience, strong communication skills, and a good sense of humor are strongly recommended, • High School or equivalent diploma is required, an Associates or Bachelor's degree preferred

Job DescriptionBenefits: • Bonus based on performance, • Flexible schedule, • Free uniforms Position Summary: The primary focus of a Summer Camp Instructor is to promote creativity, teamwork, and problem-solving skills while facilitating Snapology's STEAM (Science, Technology, Engineering, Art & Math) programs. Role & Responsibilities: • Facilitate Snapology programs for groups of up to 24 students (age 6-12), through curriculum-guided engineering and/or robotics activities, • Adequately prepare for each program by reading curriculum, watching training videos and/or participating in face-to-face training sessions & staff meetings, • Instruct and monitor students in the use of learning materials and equipment, in a fun and engaging way to promote creativity, teamwork, and problem-solving. All materials, lesson plans, & paid training is provided!, • Manage student behavior and discipline in alignment with the disciplinary systems of Snapology, • Supervise student lunch breaks, • Communicate with parents via Snapology systems, including photos, videos and insights about daily activities, • Maintain professionalism in dress, personal appearance, and communication with students, parents, and community partners, • Travel to various partner locations to run programs, • Safely transport, store and organize materialsQualifications:, • 1 or more years of experience working with children in a tutoring, camp, child-care, classroom or camp environment. Candidates with less experience will be considered for an assistant role. Education degree or teaching experience recommended, teachers pursuing a degree in education will also be considered for this position., • Current Criminal Offender Record Information CORI (background checks and fingerprinting) and Current First Aid & CPR training, • Driver's license, reliable personal vehicle, and current insurance to transport materials, • 2 or more years of experience leading children in a classroom or camp environment, • Education degree or teaching experience preferred, students pursuing a degree in education are encouraged to apply, • Excellent time and classroom management skills, • Comfortable working with LEGO bricks and technology, • Familiarity with coding and robotics preferred, • Ability to establish and maintain cooperative and effective working relationships, • Communicate effectively orally and in writing with students, parents, coworkers and leadership, • Proven reliability and punctuality Location: You will be placed at an off-site, partner location. Depending on the week, you will be in different locations (close to your residence). We have camps in locations throughout Eastern MA such as Acton, Ayer, Canton, Carlisle, Concord, Groton, North Chelmsford, Pepperell, Sterling, Tyngsborough and Westford. Position Details: • Instructors are paid a weekly flat rate per full day or Half day camp taught (Monday- Friday). The flat rate includes materials pick up and drop off, lesson preparation, student lunch supervision, early arrival to set up and clean up afterward. Weekly rates range from $450-$525 per weekly 1/2-day camp, and $850-$900 per weekly full day camp depending on experience and qualifications., • This is a seasonal part-time position, with available hours and schedules adjusting after summer camps end. The summer camps run from the week of June 15th- August 28th, with one mandatory, paid weekend training, before the summer programs begin, • Most scheduled shifts will be scheduled on a weekly basis and availability must be Monday - Friday (full day) of those weeks., • While it is preferred that candidates are available for the all weeks, week by week employment will be considered., • Reliable transportation, punctuality, and the ability to transport equipment is crucial., • Expected arrival 30 minutes early to prepare the room for the day., • Appropriate county health guidelines will be followed in the event of any health concerns in the area., • Opportunities for additional hours may include:, • Materials Inventory, • Birthday Parties (weekends)