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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Job Description The Opportunity: Librarian (Part-Time) The Pike School seeks a part-time librarian beginning in the 2026-27 school year. This is a faculty position, with work to be performed 32 hours per week between the hours of 8:00 am and 3:20 pm. Specific schedule to be determined based on library needs, candidate availability, and overall school schedule. This is a 10 month position, starting mid/late August through mid/late June. This position will join a library department of two veteran librarians who job-share the head librarian role. As a library team, we develop and execute our programs and services in a collaborative and flexible manner, allowing us to leverage our strengths and to explore areas of professional interest and expertise. We value and honor our young readers, our faculty and staff colleagues, and our families, endeavoring to provide a high level of service to all. We are fun-loving, curious, and believe in libraries as powerful spaces for learning, reading, and community. Library Mission and Vision The mission of the Pike School Library is to nurture intellectual ambition in our community. We strive to connect books with readers, and we guide students, teachers, and parents/guardians in exploring information resources effectively. Our programs and services are grounded in the current national standards of the American Association of School Librarians and the work of thought leaders in the field of diverse and inclusive literature for children. We further these principles by: Providing access to a wide variety of resources to support learning and to inspire the imagination. Working in partnership with faculty to support and enhance teaching and learning. Promoting reading as a way to learn about ourselves and others, and as a way to see our own experiences reflected in literature. Teaching critical thinking skills to develop passionate learners and responsible, agile information users. Core Responsibilities Program coordinator Promote a school-wide reading culture through reading promotion displays, materials such as thematic reading lists, and literature enrichment experiences such as book groups. Share responsibility for daily operations of the library. Maintain circulation, patron, and materials records using Alexandria library software. Assist with print collection maintenance and processing of new books. Support a robust parent/guardian volunteer program. Information specialist Match students and teachers with resources that meet their informational, research, leisure, or educational needs. Create customized resource guides for student inquiry/research projects. Assist in the selection of products and services, such as subscription databases and print materials, which benefit student learning and research and support students’ leisure reading interests. Instructional partner Together with head librarians, plan and provide learning opportunities to faculty/staff in the areas of library resources, digital literacy skills, ethical information use, and evaluating instructional materials through a culturally inclusive lens. Work with head librarians to plan and teach weekly PreK - grade 4 Library Time sessions. Collaboratively co-teach and provide individual assistance during content-area class visits for inquiry projects and reading unit support. In addition, this position will share in responsibilities associated with the position or with membership on the faculty such as weekly duties and participation in faculty meetings, special events, and outreach programs. Desired Qualities and Qualifications Experience with engaging students in class discussions, fostering excitement for reading, and teaching process and problem-solving skills. Strong interest in working with students from age 4 to 14. Current knowledge of children’s and young adult literature. Demonstrated ability to cultivate positive working relationships with students, parents/guardians, faculty, and staff. Competence with Google Apps for Education and library management software. High level of emotional intelligence, flexibility, and curiosity. Exceptional organizational skills and ability to work autonomously when needed. Excellent written and verbal communication abilities. Desire to work in a dynamic, collaborative, and joyful independent school environment. Bachelor’s degree required. Demonstrated commitment to libraries through work experience and/or coursework. A combination of advanced coursework in library science or three years public or school library experience is preferred. Interested candidates should submit a resume and a cover letter, which addresses how your experience meets the expectations of the position as stated above. Finalists will be expected to teach a demonstration lesson and provide a writing sample. PI2772a742808c-25405-40321654

Build your best future with the Johnson Controls team As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! What we offer: * Competitive salary * Paid vacation/holidays/sick time * Comprehensive benefits package including 401K, medical, dental, and vision care * On the job/cross training opportunities * Encouraging and collaborative team environment * Dedication to safety through our Zero Harm policy What you will do: The primary responsibility of this position is to deliver technical certification training programs for fire detection products in classroom, virtual or mobile settings to various student populations. This role will be based primarily at our JCI Training Institute Learning Center in Westford, Massachusetts. How you will do it: * Deliver certification-level instructor-led classes on the installation, programming, maintenance, and repair of Johnson Controls fire detection systems using various modalities, including virtual, in-person, and webinars. * Design, develop, and facilitate webinars that complement instructor-led training topics. * Qualify to deliver multiple product training curricula simultaneously. * Document course enhancements based on feedback from customers and subject matter experts. * Receive mentorship from experienced instructors in subject matter expertise, content creation, and course delivery techniques. * Collaborate closely with the Fire Detection team and Lead Trainer to ensure quality and consistency throughout the course lifecycle. * Be prepared for potential travel to other North American Learning Centers, which may be required for up to 20% of the time. What we look for: Required * Strong communication, organizational, interpersonal, and presentation skills. * Proficiency in Microsoft applications, particularly PowerPoint, Word, and Excel. * Minimum of 3 years of directly relevant work experience. * Proficiency in low voltage electronics, specifically power-limited 12V to 70V building systems. Preferred * Familiarity with Simplex ES fire detection systems. * Experience in installation, service or inspections of Simplex fire products * Vocational education, or 3 years of directly relevant work experience. * Training Certifications in any Simplex fire panels a plus. * Installation or service experience with fire detection, security, access control, or other low voltage systems. * Experience in delivering training to end-user customers or peer mentoring. HIRING SALARY RANGE: $76,000 - $95,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at This will be an onsite role at our Westford, MA training facility. #LI-Onsite

Salary based on position and range-see details below.The successful applicant will cultivate existing and lead new analytical and experimental research tied to biomedical engineering (e.A related focus will be placed on developing virtual and augmented reality systems tied home and clinical-based ap

Engaging, managing, and communicating effectively with groups of students, with the assistance of the classroom teachers and chaperones. Museum Teachers have a say in the number and days of the week they are available to work. The number of bookings per week determines how many actual days per week

See posting section for P16 salary range details.The Director of Basketball Operations/Assistant Coach assists with the organization and supervision of all logistical aspects of the Women’s Basketball Team within the parameters designated by the university, the America East Conference and the Nati

Anticipate salary of $67,000 - See posting section for salary range details.This being an internal opportunity, only current UML Employees, irrespective of Bargaining units are eligible to apply for this position.The Research Data Analyst position is a full time, one-year position with the possibili

See posting section for salary range details.The Assistant Women’s Basketball Coach provides assistance in all phases of coaching the Division I women’s basketball program including: student-athlete recruitment, game preparation, player evaluation, academic coordination and practice and game coa

This position will oversee all aspects of the club wrestling program training.The coaches will work with team captains to facilitate practice plans and teach drills.They will teach strategy, attend every practice, or competition, and the coach will help manage team dynamics.The coach will also work

Remote contract for PhDs in Biology, Biotechnology, Biochemistry, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced biology questions to test AI performance., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics. Requirements: • PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field., • Strong biology reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Job Title: QA Investigation Reviewer Location: Andover, MA Duration: 1 year contract with potential to extend Standard hours M-F start time flexible from 7am- 9am. Summary: The QA Investigation Reviewer is responsible for the independent review and approval of GMP investigations within the Andover biopharma manufacturing facility. This role ensures non-conformances/deviations, OOS/OOTs, and other quality events are thoroughly investigated, and compliant with cGMP regulations, site, and global procedures. The position supports product quality, patient safety, and timely batch disposition while partnering with cross-functional teams including Manufacturing, Engineering, and QC. The ideal candidate demonstrates strong critical thinking, clear written communication, and the ability to provide objective QA oversight, including support during regulatory inspections and audits. Education/Experience: High school diploma or GED required; associate or bachelor’s degree preferred 5-7 years of experience in quality assurance or inspection roles. Experience in Vault QMS a plus.

Job Title: Process Development Technician – II Location: Andover, MA 01810 Duration: 8 Months ROLE SUMMARY The Senior Process Technician drives the execution of Commercial, Clinical, and/or Development production according to Standard Operating Procedures and the Production Schedule. The Senior Process Technician will work on interdisciplinary self-directed teams, to define and implement process improvements, participate in process troubleshooting. ROLE RESPONSIBILITIES • Executes manufacturing operations on the production floor for buffer/media make-up tanks, glass washers, autoclaves, bioreactors, filtration equipment, inoculum preparation, chromatography skids and/or UF/DF skids with varying levels of automation., • Executes the execution of SOPs for unit operations including but not limited to, CIPs, SIPs, Sanitization, etc., • Implements the execution and issue resolution associated with process equipment commissioning, qualification and validation., • Drives troubleshooting, technical support/analysis and resolution of equipment, automation, and process issues on the manufacturing floor., • Drives for Right first time execution, the timely review of daily documentation and executes data entry; Monitor, Identify and/or Communicate process and compliance trends in real time., • Supports the assigned audit lead for walkthroughs/GMP100s and observation improvements., • View Role for controlled documentation; SOPs, Manufacturing Batch/Formulation Records, Forms, etc., • Collaborates with the Subject Matter Expert for manufacturing operations in support of QTS investigations and CAPA implementations., • Responsible for remaining current and reviews curriculum for training programs in support of manufacturing processes., • Implements Lean Manufacturing, Sustainability, Operational Excellence initiatives; facilitate the drive towards continuous improvement in all manufacturing areas., • Collaborateswith cross-functional manufacturing assets in support of manufacturing campaigns., • Collaborates in the escalation process through various levels of management when operations, personnel safety, equipment functionality, product supply and/or quality compliance are at risk., • Ensures work requests are generated when issues arise with manufacturing equipment., • Proficient in enterprise systems to support manufacturing operations including but not limited to, SAP, LIMS, AMPS, PDOCS and/or QTS., • Operates production sustainability through the performance of inventory accuracy, reconciliation and/or task prioritization to maintain metric adherence.

Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview: Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements: • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Job Title: Bench Scientist Location: Andover, MA 01810 100% onsite Duration: 12 Months contract (Extendable) Job Overview We are seeking a Bench Scientist I to join the Critical Reagents Group. This is a fully onsite, laboratory-focused role ideal for a recent graduate or early-career scientist (0–3 years of experience in biotechnology or pharmaceuticals). The role involves hands-on wet lab work supporting the preparation, characterization, and management of critical reagents used across therapeutic programs. The selected candidate must be comfortable working with BSL-2 biohazardous materials and chemical hazards, including antibody–drug conjugate-related materials. Key Responsibilities Laboratory Work • Perform bioconjugation of therapeutics with proteins, tags, or labels, • Conduct laboratory assays and analytical testing, including:, • ELISA / ligand binding assays, • HPLC, • UV/Vis spectroscopy, • BCA assays, • Execute multi-day experimental workflows, • Maintain accurate and complete laboratory documentation, • Prepare templated summary sheets for reagents (no interpretive report writing required), • Support management of critical reagent inventory, • Coordinate materials stored in off-site critical storage, • Interface with external inventory management teams, • Assist with registration, submission, and lifecycle tracking of reagents, • Upload and manage characterization summaries on internal systems, • Generate and track purchase orders and lab costs, • Manage buffer supplies and consumables, • Organize freezer inventory, • Follow all safety procedures for hazardous materials handling, • Work within a small, collaborative lab-based team, • Independently manage assigned weekly tasks, • Communicate and coordinate with internal and external stakeholders Required Qualifications • Bachelor’s degree in Chemistry, Biochemistry, Biology, or related scientific field, • 0–3 years of academic or industry wet lab experience (coursework, internships, co-ops acceptable), • Ability to work 100% onsite and perform full-time laboratory work, • Comfort working with BSL-2 biohazardous and chemical materials, • Basic computer proficiency (Microsoft Office Suite) Preferred Qualifications • Master’s degree in a relevant scientific discipline (recent graduates welcome, PhD will not work), • Hands-on experience with:, • Bioconjugation techniques, • ELISA or ligand binding assays, • HPLC or similar analytical instrumentation Most Critical Skills • Strong foundation in biology, chemistry, or biochemistry, • Knowledge of protein characterization techniques such as:, • ELISA, BCA, SDS-PAGE, Western blot, • Octet, UV-Vis, analytical SEC (preferred), • Excellent organizational and communication skills, • Ability to work in a fast-paced, collaborative environment, • Strong critical thinking, troubleshooting, and problem-solving abilities, • Flexible, team-oriented mindset, • Proficiency in Microsoft Office (Word, Excel, PowerPoint) Interview Process • Virtual screening interview, • Technical/team interview

No administrative assistant experience required.

We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your opi

Location: Lowell, MA - Inpatient Treatment Program Schedule: Full time Pay rate: $20.50-$23.50/hour Benefits: • Health, dental, vision insurance/additional voluntary insurances, • Company-paid life insurance/employee assistance programs, • Generous paid time off accrual, • Tuition reimbursement/loan repayment options, • 401k with company match up to 7%!, • Discounts on wide array of services/entertainment nationwide The Admissions Coordinator is responsible for: • Conducting intakes, completing admission paperwork, scheduling clients, and screening clients during the admissions process., • Ensuring a safe and secure environment through effective management of the waiting area., • Must have a minimum of a high school diploma or equivalent., • One year experience in a healthcare or customer service field preferred, • Experience in substance abuse or mental health field preferred, • Must have excellent verbal, social and writing skills, • Must display the use of appropriate independent judgment to determine appropriate course of action in resolving problems and in emergencies, • Must be able to express self adequately in written and oral communication and to communicate effectively in an interdisciplinary, culturally diverse setting with clients, families, staff and regulatory agencies

General Summary of Position: The Palacios group at the University Massachusetts Lowell is seeking a Postdoctoral Research Associate to focus on the role of the gut microbiome in relation to neurological disease in human epidemiological cohorts. Our research group aims to study, understand the role of the gut microbiome in brain health. We focus on cognitive decline/Alzheimer's disease as well as Parkinson's Disease and Depression. We maintain close collaborations with top local universities, including Harvard School of Public Health, Harvard Medical School, Tufts University and the UMass Medical School and the department of Veteran's Affairs. The postdoctoral fellow will work on NIH funded projects focused on the role of the gut microbiome in decline and Alzheimer's disease. There is opportunity for collaboration with our collaborators at University of Massachusetts, Harvard School of Public Health, and the US Dept of Veterans Affairs. More information about the Palacios group can be found at: ___ Minimum Qualifications (Required): Education: • Experience with the analysis of gut microbiome metagenomics data in the context of human epidemiological research, • Experience and/or strong interest in neurodegenerative disease research, • Experience proficiency with Linux/Unix command line and research environments, • Very strong R programming skills, • Basic familiarity with scientific software management and cloud computing environments, • Excellence in research, communication and collaboration skills, as evidenced by publication record, • Experience with collaborative interdisciplinary research, • Experience with untargeted metabolomics data preferred, • Working knowledge of Python preferred, • A record of publication in peer reviewed journals Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. This is a Grants & Contracts (MTA/GRACE) bargaining unit position. Grade PD with formal salary range of $50,000 - $76,000. 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 applications is received. This position is contingent upon funding. The appointment is for one-year contingent upon productivity, successful performance and the availability of funding. Please include a resume with your application. Names and contact information of three references will be required during the application process. Submission of a cover letter is optional. 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 multidisciplinary and collaborative lab of Prof. Gulden Camci-Unal at the University of Massachusetts Lowell seeks two Postdoctoral Research Associates with extensive experiences in bone tissue engineering, biomineralization, vascularization, osteoinductive biomaterials, in vivo studies, organ-on-chips, mono- and co-cultures of cells, biological assays to monitor cell behavior and function, and culture of human primary cell lines and stem cells for repair and regeneration of bone. The initial appointment will be for one-year with a possibility of renewal based on productivity, successful performance and the availability of funding. Minimum Qualifications (Required): Education: • PhD in Chemical Engineering, Biomedical Engineering, Bioengineering, Mechanical Engineering, Materials Science, Biology or a related field, • Industrial experience in 3D scaffolds and organ-on-chip technologies although not required can be a plus, • Analytical thinking, • Biomaterials, • Tissue engineering, • Biomineralization, • Vascularization, • Primary cell and stem cell cultures, • In vitro tissue models, • In vivo models, • Immunostaining, histology, • Organs-on-chips, • Mammalian cell cultures in microfluidic chips, • Co-cultures of two or three types of mammalian cells, • Biological assays to monitor cell behavior and function, • Ability to work independently, with limited direction, as well as within a team environment, • Ability to mentor and inspire students with limited research experience Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. 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 applications is received. This position is contingent upon funding. The initial appointment will be for one-year with a possibility of renewal based on productivity, successful performance, and the availability of funding. Please include a resume and cover letter with your application. 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.

General Summary of Position: The Tsongas Industrial History Center is an education partnership between the University of Massachusetts Lowell School of Education and the National Park Service at Lowell National Historical Park. Utilizing the Park's unique historic resources, including authentic artifacts and primary sources, the Center facilitates experiential learning of industrial history, science, and engineering content through educational programs. Museum teachers engage students (grades 2-12) in active learning by employing best practices in museum teaching, such as effective questioning, participatory activities, and relevant age-appropriate discussions. Job entails, but is not limited to: • Leading effective, curriculum-based, educational programs that consist of hands-on activities and interactive visits to various locations within Lowell National Historical Park., • Using established program content outlines to communicate program themes and objectives, and to meet the age, grade level, and capabilities of students., • Following itineraries and making logistical changes as needed., • Demonstrating and instructing students in the use of such equipment as hand looms, water wheels, and laboratory devices., • Engaging, managing, and communicating effectively with groups of students, with the assistance of the classroom teachers and chaperones., • Observing all standard operating procedures for opening and closing exhibit sites, inventorying and preparing equipment and supplies, and setting-up and cleaning-up workshops., • Creating a positive, safe, and inclusive learning environment for all visitors., • Supporting engagement with and stewardship of national park sites and historic artifacts., • Engaging in self-directed study (e.g., reading, web research, visits to Park museum exhibits, and discussions with colleagues) during regular work hours., • Participate in TIHC-organized professional development, attending 2:15-3:00 pm sessions if possible, and contribute to discussions concerning program improvements., • Exemplifying the University's commitment to customer service and inclusion., • Contributing to a positive work environment as well as building good relationships with staff, stakeholders, and partners., • Ensuring optimal customer service for internal and external partners in response to all requests for service and information. Museum Teachers' Schedule: • TIHC programs run on a September through June season., • Work fluctuates during the season; October and November may be busy; December through February see fewer programs. April through June are very busy., • Museum Teachers have a say in the number and days of the week they are available to work., • Minimum availability is two or more full days per week., • The weekly schedule varies. The number of bookings per week determines how many actual days per week Museum Teachers are scheduled., • The weekly schedule is posted and confirmed two weeks in advance., • Workdays are Monday-Friday from 8:30 a.m. to 3:00 p.m., • Museum Teachers follow a specific Program Outline and itinerary each day., • Pay rate is hourly, with step increases as budget permits., • Training is included during orientation and scheduled throughout the year. Minimum Qualifications (Required): • Minimum of two years' experience working with children (e.g., classroom teacher or aide, after-school program presenter, scout leader, camp counselor, youth group leader), • Excellent oral and written communication skills, • Ability to work effectively with diverse groups, • Demonstrated skills in facilitating learning for students ages 7 through high school, • Ability to work both individually and collaboratively Additional Considerations: • Ability to work 8:30 a.m. to 3:00 p.m. for regular programming, • Leading programs involves walking and climbing stairs indoors and outdoors in all weather, • Virtual programs require facility with Microsoft Office Suite and Zoom (training provided), • This is a seasonal position with school programs Monday-Friday from September through June, with occasional evening and weekend programs., • Work fluctuates during the season; Mid-March through mid-June are typically very busy, • The Tsongas Industrial History Center fosters a culture of ongoing growth and development in our teaching practice. As part of this, museum teachers can expect occasional observations of education programs they lead, followed by useful feedback. Preferred Qualifications: • Bachelor's Degree preferred, • Bilingual applicants encouraged to apply This is a part-time, non-benefited, non-unit position and is contingent upon funding. Hours per week: estimated at 6 to 30 depending on your availability and program bookings. 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 applications is received. Please include a resume and cover letter with your application. 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 Description Bachelor's or Master's degree in Special Education, active Special Education Teacher license and minimum 1+ years Special Education Teacher experience required. Applicants who do not meet these qualifications will not be considered. An exciting opportunity awaits for a dedicated Special Education Teacher eager to make a meaningful impact within an elementary setting. A well-established school near Lowell, MA is seeking a long-term substitute to provide exceptional support to students in both 3rd Grade and K–1 grade bands. The ideal candidate will possess flexibility, strong collaboration skills, and experience in nurturing diverse learners, ensuring that every child receives personalized support. Qualifications: • Active Massachusetts Special Education licensure, PreK–8 preferred, • Proven experience teaching at the elementary level, especially in special education, • Capacity to effectively manage and support students across both K–1 and 3rd Grade classrooms, • Strong communication and organizational skills, • Deliver individualized instruction and interventions to students with exceptional needs in both K–1 and 3rd Grade, • Collaborate with general education teachers, paraprofessionals, and related service providers, • Develop, implement, and monitor IEPs, adapting strategies to meet a range of learning needs, • Track student progress, maintaining accurate records and partnering with families for ongoing support, • Participate in IEP meetings and school-based team discussions, • Long-term substitute role, running through March 2026 with a strong possibility of extension into the following school year, • Full-time hours during school schedule, • Start date: ASAP Compensation for this position ranges from $30.20 to $50.20. Eligible candidates may also receive healthcare benefits, housing, and meals/incidentals. Full details of our healthcare benefits plan can be found here. This posting is open for 60 days after the posting date. #p31

Job Description Bachelor's or Master's degree in Special Education, active Special Education Teacher license and minimum 1+ years Special Education Teacher experience required. Applicants who do not meet these qualifications will not be considered. Ignite your passion for supporting students with special needs by bringing your skills as a Special Education Teacher to a dynamic, onsite school environment near Lowell, MA! This full-time contract opportunity places you in a collaborative atmosphere where creativity and individualized instruction are valued as vital to each student’s success. Your expertise will help create inclusive classrooms that honor and advocate for every learner, empowering them to achieve their fullest potential. You’ll work alongside dedicated educators who share your commitment to making a meaningful impact in the lives of students and their families. Desired Skills and Credentials: • Valid Special Education teaching certification required, • Previous experience supporting students with diverse learning needs preferred, • Strong knowledge of IEP development and implementation, • Excellent communication and collaboration abilities, • Deliver engaging, differentiated instruction to students with special education needs, • Develop and implement individualized education plans (IEPs) in partnership with parents and staff, • Monitor and document student progress, making data-driven adjustments where needed, • Foster an inclusive, supportive classroom environment, • Collaborate with general education teachers, related service providers, and families, • Health, dental, and vision insurance offered to support your well-being, • Team-oriented campus that emphasizes growth and continuous professional development Compensation for this position ranges from $30.20 to $50.20. Eligible candidates may also receive healthcare benefits, housing, and meals/incidentals. Full details of our healthcare benefits plan can be found here. This posting is open for 60 days after the posting date. #p35

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 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 Programming Languages research group (PLOW), led by Prof. Anitha Gollamudi at the Richard Miner School of Computer Science and Information, invites applications for a postdoctoral associate or research scientist position in the area of formal methods for security and machine learning. Minimum Qualifications: Postdoctoral Research Associate: Education: Education: • Publications in top-tier venues in at least one of the following areas: security, programming languages, or machine learning, • Background in cryptography or machine learning, • Expertise in numerical methods is a significant plus, • Expertise in GPU programming (or High Performance Computing) is a significant plus, • Experience with formal methods and enthusiasm for applying them to security and/or machine learning, • Applicants should have excellent written and oral communication skills Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. This is a full-time, grant-funded, benefited position with an anticipated hiring range of $70,000-$85,000, and an anticipated starting salary of $70,000 for the position of research scientist. Anticipated hiring range for postdoc is $60,000-70,000. The specific title (postdoctoral associate or research scientist) will depend on the candidate's qualifications and experience. This position is contingent upon funding, productivity, successful performance and the availability of funding. The initial appointment is for one year, with the possibility of renewal based on productivity, successful performance, and the availability of funding. Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received. Please include a curriculum vitae (CV), cover letter, research statement and publication list with your application. Names and contact information for 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 Evolutionary Biomechanics and Functional Morphology Lab, led by Dr. Nicolai Konow () in the Department of Biological Sciences at University Massachusetts Lowell (), invites applications for a Post-doctoral Research Associateship (non-tenure track) to assist in studies aimed at determining the effects of inactive mass on muscular force production and work, funded by a National Institutes of Health Award. Experience with animal research, isolated (in situ) muscle ergometry, in vitro muscle testing, and/or instrumentation of muscles for in vivo measurements are desired qualifications. Our lab is a well-equipped facility with a stimulating academic environment for addressing questions about the structure and function of movement in a broad range of vertebrate species. We are recruiting several motivated and collaborative trainees into an NIH award that investigates the effects of varying degrees of activation on the production of force and work in vertebrate skeletal muscle. Suitable candidates will be those who are excited about multiscale biological phenomena and motivated to explore the unique opportunities provided by this award, in the Konow lab as well as in the labs of our collaborators on this award, Prof. Biewener at Harvard University (Concord Field Station) and Prof. James Wakeling (Simon Fraser University, BC), as well as across our recently established UMass Movement (UMOVE) Center. The incumbent will be provided with opportunities to shape extraordinary professional profiles via active investigation across scales of biological organization. Minimum Qualifications (Required): • A Ph.D. in Biology, Biomechanics, Kinesiology, Biomedical Engineering, Mechanical Engineering or a related field prior to the start date, • Evidence of a building, prolific record of publications in peer-reviewed journals, • Demonstrated experience with experimental, hypothesis-driven research in e.g., muscle physiology, functional morphology, comparative anatomy, and/or biomechanics of musculoskeletal function, • Demonstrated experience with collecting data from live or dead animals, • Explicit understanding of the importance of inquiry across scales of biological organization, • An interest in gaining cross-disciplinary training across scales of biological organization, • Experience with force-length measurements from intact muscles, fiber bundles, or single fibers in situ or in vitro Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. This position is grade PD with salary minimum $50,000, 25th quartile of $56,500 and midpoint of $63,000. Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received. This position is contingent upon funding. The initial appointment will be for approximately one-year with a possibility of renewal based on productivity, successful performance and the availability of funding. Please include a CV, cover letter describing your background and qualifications, and your student mentoring-teaching statement and research statement with your application. 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.

General Summary of Position: The Luso-American Development Foundation (FLAD) in Lisbon, Portugal, and the Saab Center for Portuguese Studies in the University of Massachusetts Lowell College of Fine Arts, Humanities, and Social Sciences announce the FLAD/Saab Visiting Professorship in Portuguese Studies for Spring Semester 2027. This program sponsors a one-semester, open-rank, Visiting Professor of Portuguese Studies at UMass Lowell. The program is open to Portuguese Academics presently teaching at a university in Portugal or abroad. The program contributes a Portuguese academic perspective to the curriculum of the College of Fine Arts, Humanities, and Social Sciences and, more specifically, supports the Portuguese Studies Program at UMass Lowell and the mission of the Saab Center for Portuguese Studies. The program further enhances the University's relationship with the regional Portuguese American community. For Spring Semester 2027, we seek a Visiting professor in the academic areas of Criminology, Film Studies, History, Philosophy, Political Science, Portuguese American Studies, or Sociology/Anthropology. The Visiting Professor will teach up to two courses in English and deliver one or more public lectures in their area of expertise. The program provides a competitive one-semester salary stipend. Minimum Qualifications (Required): Applications received by Friday May 9, 2026, will be considered in the first review of candidates, but the position will remain open until filled. This is a part-time, temporary, non-unit, non-benefited position. Anticipated salary of $46,000-$52,000, depending on qualifications and the # of classes taught. Please submit the following required documents with your application to be considered: • Cover Letter of Interest, • Curriculum Vita, • Sample Course Syllabi: Include two potential course topics (to be taught in English)

General Summary of the Position: The Department of Biomedical & Nutritional Sciences (BNS) in the Zuckerberg College of Health Sciences (ZCHS) at the University of Massachusetts Lowell (UML) is seeking part-time Adjunct Instructors to teach undergraduate chemistry laboratory courses with a focus on the health sciences. This posting serves to build a pool of qualified candidates for current and future teaching needs. Courses may include: a one-semester introductory general-organic-biochemistry (GOB) laboratory course ( and ), and a one-semester analytical instrumentation laboratory course (___). Selected instructors will work collaboratively with, and under the guidance of, the course coordinator to ensure consistency, quality, and alignment with departmental goals. Teaching assignments may vary by semester depending on departmental needs. Minimum Qualifications: • A minimum of a bachelor's degree in chemistry or a related science field that involves strong training in chemistry laboratory work, especially analytical, organic, and biochemistry., • Excellent interpersonal and communication skills in English, both verbal and written., • Candidates with previous teaching experience will be given priority., • Candidates with qualifications to teach in more than one area will be given priority., • Candidates with a master's or doctoral degree, or with substantial experience in chemistry laboratory work are most desirable. Review of applications will begin immediately. The position will close after an adequate number of qualified applications is received. This is a part-time, non-benefited, Union of Adjunct Faculty, Local 1596, UAW position. For Adjunct Faculty salaries, please refer to the salary chart for the rates. Adjunct Faculty Salary Chart (pdf) - January 2026 ___ Please include a CV and cover letter with your application. 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.

General Summary of Position: A postdoctoral position in medical device development is available at the University of Massachusetts Lowell in the Department of Biomedical Engineering. This position will involve the design, prototyping, and validation of novel wound healing technology. The project is sponsored by the Defense Health Agency through the US Combat Casualty Care Research Program and in collaboration with investigators at Massachusetts General Hospital and Harvard Medical School. The initial appointment will be for one year, with the possibility of renewal based on productivity and performance, as well as the availability of funding. Candidates with a strong background and hands-on experience in mechanical design, mechatronics, systems automation, and control are highly encouraged to apply. Essential Job Duties: 1. Engineering design, construction, and testing of prototype devices for skin wound healing applications, including building testbeds and collecting performance data., 2. Deployment of prototype devices at pre-clinical site, including training personnel and providing engineering support as required., 3. Maintaining engineering documentation by creating, organizing, updating, and preserving technical records., 4. Support writing and preparation of project reports and dissemination materials, like conference abstracts and posters and manuscripts for publishing in peer-reviewed journals. Working Conditions: Education: Demonstrated excellence in one or more of the following areas is required: • control systems,, • mechanical design,, • electromechanical system fabrication,, • rapid prototyping,, • miniature sensors development,, • electronic circuit design,, • CAD design,, • programming in LabVIEW, Ability to work independently, with limited direction, as well as within a team environment Special Instructions to Applicants: Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received. This position is contingent upon funding, and is for one year contingent on productivity, successful performance and the availability of funding. This position is in Grade PD which carries a formal salary range of $50,000-$76,000. This position has anticipated starting salary of $62,232 based on the grant. Please include a resume and cover letter with your application. 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.

General Summary of Position: This position will oversee all aspects of the club wrestling program training. The coaches will work with team captains to facilitate practice plans and teach drills. They will teach strategy, attend every practice, or competition, and the coach will help manage team dynamics. The coach will also work with the club's executive board, who oversee all scheduling and fundraising efforts. This position reports directly to the Assistant Director of Club Sports and indirectly to all Campus Recreation professional staff members and sport club officers. The Club Wrestling team falls under Campus Recreation and is not associated with Athletics. Duties and Responsibilities: • Provide skill development for college students and cater to a variety of skill levels, • To organize safe and appropriate sport sessions, • To supervise/mentor/guide the participating members of each club, • Attend all team practices and games, • Duty to act in an emergency by performing emergency evacuations; provide First-Aid, CPR, AED based on current certification, • Previous experience in coaching or participating in specific sport, • Flexible, availability and high level of responsibility, • High school diploma or GED/equivalent 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. This is a part-time, temporary, non-unit, non-benefited position. Please include a resume with your application. Names and contact information of three references will be required during the application process. Submission of a cover letter is optional. 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 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.