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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.

Turing is looking for candidates with strong experience in legal research, drafting, and case analysis, particularly at the level expected for licensed attorneys or legal professionals experienced in litigation, corporate law, or regulatory compliance. Role overview: • In this role, you will contribute to projects that help evaluate and enhance AI systems using your legal expertise and analytical reasoning skills., • No prior AI experience is required., • These projects will help you explore how AI can be leveraged to improve legal reasoning, research efficiency, and document interpretation in real-world legal workflows. What does day-to-day look like: • Design and solve real-world legal reasoning and case analysis scenarios to test AI reasoning., • Write clear, structured legal analyses and arguments across contract law, torts, corporate law, criminal law, and ethics., • Evaluate AI responses for accuracy, clarity, and adherence to professional legal standards., • Collaborate with researchers to refine AI understanding of statutes, case law, and procedural frameworks. Requirements: • 4+ years of experience as a Licensed Attorney, Associate, or Legal Counsel., • Juris Doctor (JD) or equivalent law degree required., • Active bar membership (or equivalent jurisdictional license) preferred., • Strong English writing, reasoning, and analytical communication skills., • Comfortable using web-based tools for annotation and review. Perks of freelancing with Turing & offer details: • Strong compensation (exact amount varies by project)., • Fully remote work environment., • Engagement type: Contractor assignment/freelancer, potentially full-time., • Duration of projects: approximately 1 month, with the possibility for extension. What Turing is NOT seeking from your expertise: • Confidential or proprietary information from any employer, university, etc., • Trade secrets or internal company or university data., • Specific client information or case details., • Any information that would violate NDAs, employment agreements or other confidentiality obligations. 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.

bout 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 About the Role: We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking. Responsibilities: • Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance., • Conduct fact-checking to validate information and identify inconsistencies or inaccuracies., • Provide detailed, well-structured justifications to support evaluation decisions., • Follow established evaluation guidelines and quality standards consistently., • Use browser-based tools and extensions to support analysis and review tasks., • Execute simple command-line instructions when required to support evaluation workflows., • Document findings clearly and communicate insights to stakeholders when needed. Requirements: • Solid comfort using a computer in a professional setting., • Experience working with browser extensions and online tools., • Ability to run basic command-line commands (no advanced programming required)., • Strong analytical and critical thinking skills., • High attention to detail and ability to justify decisions clearly and objectively., • Comfortable working with evaluation frameworks, comparisons, and structured analysis., • Good written communication skills in English. Nice to Have: • Previous experience with evaluation, annotation, QA, or audit-type work., • Familiarity with data quality, content evaluation, or model/output assessments., • Background in business analysis, operations, or process improvement. Perks of Freelancing With Turing: • Competitive compensation based on experience and expertise., • Flexible working hours and a fully remote environment., • Opportunity to contribute to impactful research initiatives., • Potential for contract extension based on performance and project needs. Offer Details: • Commitment Required: 30 hours per week minimum., • Engagement Type: Contractor/Freelancer (no medical or paid leave)., • Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles. Application Process: • Shortlisted candidates will be invited to complete an analytical challenge., • Once the assessment is cleared, you’re ready to start contributing! 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.

TEKsystems is seeking a Level 1 Data Annotators for a 12-month assignment, with the potential for extension based on performance. 12 month contract but likely extending based on performance. Pay rate? $21.58/hr + 15 days PTO (Accrued over 12 months) Hours? PST/EST hours depending on where you sit. Remote but must sit in North America when working. Job Description TEKsystems Global Services is seeking meticulous and detail-oriented Data Annotators to support our AI and machine learning teams in developing and optimizing Artificial Intelligence solutions for diverse real-world problems. As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI models by providing high-quality annotated data. What You Will Be Doing: • Annotate large datasets with accurate labels that will be used to train and validate AI models., • Review data inputs and outputs to ensure consistency and quality of annotations., • Work closely with AI Engineers and Data Scientists to understand requirements and guidelines for data annotation., • Use annotation tools to mark up text, images, or other data according to specific guidelines., • Participate in the validation and quality assurance of annotated data to ensure it meets the required standards., • Assist in the development and refinement of annotation guidelines to improve data quality and annotation efficiency., • BA/BS degree; further education or certification in a relevant field is a plus., • Strong attention to detail and ability to work with large sets of data., • Relevant domain expertise., • Basic understanding of data annotation tools and processes., • Good communication skills and the ability to work effectively in a team., • Ability to follow complex instructions and adhere to specific data annotation guidelines., • Experience in data annotation or a related field., • Familiarity with AI and machine learning concepts., • Additional language skills, which are beneficial for multilingual data annotation projects., • Proven track record of handling confidential and sensitive information with integrity.

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Content Review & Evaluation SpecialistAbout the Role HumanSignal is seeking highly qualified education professionals with exceptional English language and writing skills to contribute to AI development projects. This role involves evaluating, annotating, and validating educational content across various subjects to improve AI model performance in teaching, tutoring, and educational content generation. Compensation Up to $40 USD/hour based on qualifications and project complexity Required QualificationsEducation • Master's degree required in education or related field, • PhD strongly preferred in:, • Education, • Curriculum & Instruction, • Educational Psychology, • English/English Literature, • Linguistics, • TESOL/Applied Linguistics, • Education (General, Elementary, Secondary), • Curriculum & Instruction, • Educational Leadership, • English/English Literature, • Linguistics/Applied Linguistics, • TESOL/ESL Education, • Reading/Literacy Education, • Educational PsychologyLanguage Requirements, • Native or near-native English proficiency required, • Exceptional written and verbal communication skills, • Strong command of English grammar, syntax, and style, • Ability to identify and correct errors in writing across various contextsResponsibilities, • Review and evaluate educational content for accuracy, clarity, and pedagogical effectiveness, • Assess AI-generated explanations, lesson plans, and instructional materials, • Annotate teaching strategies and learning approaches, • Validate content across multiple subject areas and grade levels, • Identify errors in grammar, spelling, punctuation, and style, • Provide detailed feedback on instructional quality and student engagement, • Evaluate content for age-appropriateness and educational alignment, • Review explanations for clarity and accessibility to diverse learnersQualifications, • Deep understanding of pedagogical principles and instructional design, • Excellent writing and editing skills, • Strong analytical and critical thinking abilities, • Expertise in English grammar, composition, and rhetoric, • Experience developing or evaluating educational materials, • Familiarity with educational standards (Common Core, state standards, etc.), • Understanding of differentiated instruction and diverse learning needs, • Ability to work independently and meet deadlinesWork Details, • Flexible, project-based work - work on your own schedule, • Remote position - work from anywhere, • Variable hours based on project availability and your capacity, • Ongoing training and calibration provided, • Quality-focused environment with performance feedbackIdeal Candidate Profile, • Current or former educators, curriculum developers, or educational researchers, • Strong background in classroom instruction or educational content creation, • Experience across multiple grade levels or subject areas, • Published work or demonstrated excellence in educational writing, • Submit CV/resume highlighting educational qualifications, • Provide proof of advanced degree(s), • Complete a writing and content evaluation assessment HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionContractRemoteRole DescriptionAs a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the worlds largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the worlds premier AI models used by millions of developers worldwide.Your Profile • Bachelors degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field., • 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications., • Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging., • Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization., • Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development., • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines., • Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases., • Comfort working with version control, CI/CD workflows, and automated testing for C projects., • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus., • Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in low-level code.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Why CCI? CCI Systems, Inc. is an Employee-Owned Telecommunications Company based in Iron Mountain, MI with 60+ years of industry knowledge and experience. Our outstanding team-based work culture and environment has allowed us to grow, develop, and retain long-term employees. We offer a comprehensive benefits package, competitive pay, flexibility, paid on the job training, overtime, professional development, and inspire you to be bold, yet accountable. We value our employees’ hard work and determination and REWARD results all while having fun! Our mission is to make life better by connecting people through innovative communication systems. We are seeking a Permit Supervisor (Drafting) who plays a critical role in managing the permitting workflow and ensuring compliance with all applicable Federal, State, County, and Local regulations. This role requires advanced expertise in AutoCAD principles and standards, as well as Rights-of-Way permitting. The Supervisor is expected to lead the technical and administrative processes involved in the acceptance, preparation, drafting, review, and approval of permit drawings, supporting efficient and compliant project execution. Responsibilities • Oversee daily operations of the CAD team, including workload allocation, priority setting, and one-on-one meetings., • Provide constructive feedback, conduct performance evaluations, and create career development plans., • Lead hiring, onboarding, and team-building initiatives to foster a high-performing culture., • Develop, document, and enforce CAD standards covering layers, naming conventions, annotations, plotting protocols, and file structures., • Maintain the CAD Standards Manual and conduct regular audits to ensure compliance., • Implement drawing checklists, redlining/review cycles, and approval workflows to ensure accuracy and consistency., • Ensure compliance with industry standards such as NCS, ISO 128, and ASME Y14.5., • Identify process inefficiencies and apply lean methodologies and process mapping for continuous improvement., • Lead automation efforts using tool palettes, LISP routines, sheet set workflows, and custom macros., • Strategically plan resources and estimate drafting hours to align with project timelines., • Monitor KPIs such as on-time delivery, rework rates, and first-pass approval; implement corrective actions as needed., • Collaborate with engineers, architects, and project managers to align scopes, resolve design conflicts, and manage changes., • Maintain accurate drawing revisions and change logs for stakeholder visibility., • Curate and maintain standardized blocks, dynamic blocks, detail libraries, templates, and plot styles., • Ensure version control and accessibility of shared content across teams and locations., • Develop and deliver training programs, lunch-and-learns, SOPs, and reference materials to upskill the team., • Provide advanced CAD support and coordinate with IT to resolve technical issues., • Define structured project folders, naming conventions, archiving protocols, and backup/versioning practices., • Manage data integrity and access permissions within PDM/CDE environments., • Plan and coordinate software upgrades (e.g., AutoCAD), licensing, and feature testing., • Perform other related duties as assigned by management. Qualifications • 6+ years of professional CAD drafting/design experience, including 2+ years in a lead or supervisory role managing CAD teams and workloads., • Expert-level AutoCAD proficiency: dynamic blocks, xrefs, Sheet Set Manager, fields, parametric constraints, paper/model space best practices, and CTB/STB plotting., • Proven CAD standards development and enforcement: templates, layers/naming per NCS or equivalent, annotation styles, title blocks, and periodic standards audits., • Strong QA/QC capability: drawing checklists, redline/review workflows, approval gates, and familiarity with relevant codes/standards (e.g., ISO 128, ASME Y14.5/GD&T), • Automation/customization skills: AutoLISP/macros, and/or .NET/C#/Python scripting for tooling, batch routines, and productivity improvements., • Working knowledge of adjacent platforms and interoperability: Revit, Civil 3D, Plant 3D, Navisworks, IFC/DGN/DWG exchange, and coordinate systems., • Document and data control expertise: versioning, naming conventions, libraries (blocks/details), and experience with PDM/EDMS tools (e.g., Autodesk Vault, ProjectWise), • People leadership and coaching: onboarding, mentoring, performance feedback, conflict resolution, and running stand-ups and 1:1’s., • Project management fundamentals: scoping CAD tasks, estimating hours, scheduling, prioritizing multi-project pipelines, and managing change control., • Clear communicator with strong stakeholder skills: cross-discipline coordination with engineering/field teams, and ability to author SOPs, training materials, and reports for leadership. Shift is full-time Monday – Friday between the hours of 8:00 am – 5:00 pm PST. Must be flexible and willing to work outside normal business hours as necessary. Benefits: healthcare, retirement, paid leave (e.g., sick leave, PTO, company holidays), life insurance, AD&D, short-term disability, FSA, education reimbursement, wellness reimbursement, and employee assistance program (EAP).

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Software Engineering Expert - Code Annotation & Evaluation SpecialistAbout the Role HumanSignal is seeking highly qualified software engineering and computer science experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating code across multiple programming languages and domains to improve AI model performance in software development and problem-solving. Compensation Up to $110 USD/hour based on qualifications and project complexity Required QualificationsEducation • Master's degree required in a computer science or software engineering-related field, • PhD strongly preferred in:, • Computer Science, • Software Engineering, • Computer Engineering, • Computational Science, • Information Science, • Computer Science, • Software Engineering, • Computer Engineering, • Computational Science, • Information Technology (with strong programming foundation), • Data Science/Machine Learning, • Electrical Engineering (with software emphasis)Responsibilities, • Review and evaluate code for correctness, efficiency, and best practices, • Annotate code logic, algorithms, and implementation approaches, • Validate AI-generated code across various programming languages and frameworks, • Identify bugs, security vulnerabilities, and performance issues, • Provide detailed feedback on code quality, structure, and documentation, • Work with problems spanning algorithms, data structures, system design, and software architectureQualifications, • Deep understanding of software engineering principles across multiple domains, • Proficiency in multiple programming languages, • Strong analytical and problem-solving skills, • Excellent attention to detail and code quality standards, • Ability to clearly articulate technical reasoning and trade-offs, • Experience with version control, testing frameworks, and development tools, • Familiarity with software development methodologies, • Ability to work independently and meet deadlinesWork Details, • Flexible, project-based work - work on your own schedule, • Remote position - work from anywhere, • Variable hours based on project availability and your capacity, • Ongoing training and calibration provided, • Quality-focused environment with performance feedbackIdeal Candidate Profile, • Active software engineers, researchers, professors, or recent graduates in CS/engineering fields, • Strong GitHub/portfolio or demonstrated technical expertise, • Experience in software development, research, or industry applications, • Submit CV/resume highlighting technical qualifications, • Provide proof of advanced degree(s), • Complete a brief coding assessment, • Participate in a qualification review

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong partners. As a member of our Customer Engagement team, you'll be accountable for establishing deep customer relationships, driving revenue, hitting SLAs, and maintaining the quality standards that power breakthrough AI applications. You will work closely with HumanSignal's enterprise customers and frontier labs, driving end-to-end engagements from new projects and pilots, owning account execution, working cross-functionally to ensure our Label Studio platform and Data Creation Laboratory services are delivered consistently and on-time, and driving account growth. You are the primary contact between HumanSignal and our customers, working with and advocating for data leaders and engineering/operations teams who are pushing the boundaries of what's possible with AI. You have a strong interest in how purpose-built, human-created data can unlock novel AI capabilities. Your bias is towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver excellence. You have a track record of managing customers to renewal, forecasting with precision, and supporting sales teams in driving expansion. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. Within HumanSignal, you will work cross-functionally with Operations, Product, Sales, and our Data Creation Laboratory teams as the primary customer operations advocate. The blend of operations and customer management to drive our most important outcomes makes this a unique and exciting role at the heart of HumanSignal's mission to harness human intelligence to power the future of AI. The ideal candidate is customer-driven, analytical, empathetic, outcome-focused, and above all someone who drives and inspires results. You Will: • Build and drive critical operational processes: the consistent, on-time delivery of Label Studio platform capabilities and Data Creation Laboratory services, and revenue growth for our customers, • Build and oversee operational levers with a relentless focus on SLA achievement and quality improvement, • Review, track, and improve operational performance with an obsession for continuous improvement, • Oversee onboarding and successful implementation for new customer projects, • Manage the long-term health of customers by identifying and preempting areas of risk or concern, • Partner with clients to understand operational issues and advocate for solutions with HumanSignal engineers, • Work directly with customers' engineering teams, partnering with customer-facing engineers and technical account managers, • Answer questions and address issues related to our platform, APIs, and data services, • Create an effective feedback loop between frontline operations, product teams, strategy, and customers, • 4-9 years of total work experience, with experience in consulting or technical program management roles, • Associate / Senior Consultant / Engagement Manager experience at a top-tier consulting firm, • A technical background (education or professional experience with CS, Economics, Statistics, Engineering), • A proven track record in B2B client-facing roles and expanding client relationships, • Ability to understand APIs, ML workflows, and data operations, and build great relationships with technical customers, • Excellent cross-functional collaboration skills, • Outstanding verbal and written communication abilities, • A track record of structured, analytics-driven problem solving, • A history of diligence and organization across multiple work streams, • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results, • Strong analytical, planning, and process improvement capabilities, • Prior experience at an API-driven technology company and/or managing technical customers, • Experience with data annotation, labeling platforms, or ML operations At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job DescriptionSalary: Position Summary: The Plumbing Detailer collaborates closely with the BIM Design Manager and project managers to prepare detailed drawings and models that support the efficient installation of plumbing systems. This role is responsible for annotating Revit models, producing shop and spool drawings, and preparing digital layout files that allow field crews to begin layout with accuracy and efficiency. The Plumbing Detailer ensures that installing crews have clear, precise drawings and 3D models that support high-quality production and streamlined project execution. Key Responsibilities: Revit Modeling & Annotation: Annotate Revit drawings with pipe sizes, elevations, dimensions, slopes, and other key installation notes. Ensure drawings clearly communicate installation requirements to field crews. Collaborate with the BIM Design Manager and project managers to maintain model accuracy and constructability. Shop Drawings & Spool Drawings: Produce shop drawings and spool drawings that support fabrication and installation of plumbing systems. Ensure drawings meet company standards and clearly communicate fabrication and installation requirements. Layout & Field Support: Prepare and organize digital layout files used by field crews. Assist crews in establishing initial layout, offsets, and control points to begin layout activities. Support field teams with accurate 3D models and drawings to improve layout precision and productivity. CAD & File Management: Export Revit models to CAD and manage CAD file exports. Perform drawing cleanup and reduce CAD file sizes for efficient use in the field. Insert and align building drawings (architectural, structural, and plumbing) into civil CAD files when needed, particularly when multiple buildings exist on one site. Prepare CAD files for use with total station layout equipment. Digital Coordination & Data Management: Maintain organized digital records of layout files, control points, and drawing revisions. Upload drawings and Navisworks models to cloud-based platforms for field access. Ensure all layout and coordination files are properly structured and accessible for field crews. Required Skills Experience with Autodesk Revit and AutoCAD. Familiarity with Navisworks or other BIM coordination tools. Knowledge and understanding of plumbing systems and construction drawings. Ability to read and interpret architectural, structural, and MEP plans. Experience preparing shop drawings, spool drawings, or fabrication drawings. Strong attention to detail and organizational skills. Ability to collaborate effectively with field teams, project managers, and BIM staff. Preferred Qualifications Experience supporting total station layout workflows. Familiarity with cloud-based construction collaboration platforms such as Autodesk Construction Cloud and BIM 360 Glue. Experience working with MEP contractors or plumbing subcontractors. Knowledge of construction layout practices and field installation methods.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is building the world's first dedicated data creation labs—facilities where expert annotators, domain specialists, and AI trainers create the highest-quality training data in the industry. We're hiring an AI Trainer Onboarding and Support Specialist to be the first point of contact for our growing community of AI trainers. You'll help new trainers get started, answer their questions, resolve issues quickly, and make sure everyone has what they need to do their best work. This role is all about people. You'll be the friendly voice (or message) that helps someone navigate their first annotation task, troubleshoot a technical issue, or understand their payment. You'll work across time zones to support a global workforce, and you'll play a key role in making HumanSignal a place where talented people want to contribute. If you're someone who genuinely enjoys helping people, thrives on solving problems, and wants to be part of building something new, we'd love to hear from you. You will: • Respond to support tickets from AI trainers across multiple channels—email, chat, and internal platforms, • Guide new trainers through onboarding: answering questions, troubleshooting setup issues, and helping them get started on their first tasks, • Handle questions about payments, scheduling, task assignments, platform navigation, and general policies, • Troubleshoot technical issues and escalate complex problems to the right teams, • Create and maintain help documentation, FAQs, and onboarding materials based on common questions, • Track support metrics and identify patterns that can improve the trainer experience, • Work closely with operations and product teams to communicate trainer feedback and help improve our systems, • Maintain a fixed schedule that may include night or weekend shifts to support trainers across time zones, • 2+ years of experience in customer support, onboarding, or community management roles, • Genuine passion for helping people and solving their problems, • Excellent written communication skills—you're clear, friendly, and empathetic, • Strong problem-solving skills and the ability to think on your feet, • Comfort with technology and the ability to learn new tools quickly, • High attention to detail and organizational skills, • Ability to work a fixed schedule, including potential night or weekend shifts, • Experience working independently and managing your own workload, • Experience supporting remote or distributed workforces, • Familiarity with support ticketing systems (Zendesk, Intercom, etc.), • Background in data annotation, AI/ML, or tech platforms, • Multilingual capabilities, especially Spanish, Portuguese, or other widely spoken languages, • Experience creating help documentation or training materials The base salary range for this full-time position is $60,000–$80,000 USD, plus benefits. This role is open to candidates internationally. Final compensation will be determined by experience, skills, location, and interview performance. About HumanSignal: HumanSignal is on a mission to make AI work for everyone. We build open-source tools and enterprise solutions that help teams create, manage, and improve the training data that powers AI. Our products—including Label Studio—are used by thousands of companies worldwide, from startups to Fortune 500 enterprises. We're a remote-first company that values impact, ownership, and creativity. We believe the best work happens when people bring their full selves to the table, and we're committed to building an inclusive team that reflects the diversity of the world we're building for. HumanSignal is an equal opportunity employer. We're committed to building a diverse and inclusive workplace, and we don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodations during the hiring process, please let us know.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionContractRemoteRole Description As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the worlds largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the worlds premier AI models used by millions of developers worldwide. Your Profile • Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field., • 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications., • Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL., • Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management., • Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools., • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines., • Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability., • Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern C++ projects., • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus., • Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C++ code.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is seeking an Operations Specialist to support our delivery teams as we scale our Label Studio platform and Data Creation Laboratory operations. In this role, you'll be the critical support system for delivery leads managing complex data projects for frontier AI labs and enterprise customers. You'll bridge technical operations and project execution, ensuring seamless delivery of the purpose-built datasets that power breakthrough AI applications. Our Data Creation Laboratories manufacture training data from scratch in controlled environments—this isn't traditional data labeling. The technical complexity of what we deliver demands operators who understand data architecture, can troubleshoot pipeline issues, and think systematically about how data flows from creation to customer delivery. If you have an engineering mindset and want to be hands-on in the most exciting space in AI, this role offers real impact. You Will: • Support delivery leads in executing high-stakes data projects from kickoff through delivery, • Monitor data pipelines and quality workflows, identifying bottlenecks and troubleshooting issues before they impact customers, • Coordinate across technical teams including engineering, quality control, and laboratory operations to ensure on-time delivery, • Help maintain project tracking systems, documentation, and delivery reporting, • Participate in technical discussions about data architecture, delivery workflows, and pipeline optimization, • Assist with onboarding new projects by setting up infrastructure, configuring tools, and ensuring technical readiness, • Support operational analytics by pulling data, building dashboards, and surfacing insights that improve delivery performance, • Act as a technical liaison between delivery teams and customers, helping translate requirements and address technical questions, • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, • 1-3 years of experience in operations, technical program management, or engineering roles, • Strong technical foundation with understanding of data pipelines, APIs, and system architecture, • Proficiency with SQL and ability to work with databases to analyze operational data, • Experience with project management tools and workflow systems (Jira, Asana, Notion, etc.), • Analytical mindset with attention to detail and ability to spot issues before they escalate, • Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders, • Bias toward action and problem-solving—you don't wait to be told what to do when you see something broken, • Experience with machine learning workflows or understanding of how training data impacts model performance, • Familiarity with Python or other scripting languages for automation, • Prior experience at a startup, tech company, or in data operations roles, • Knowledge of data annotation, labeling platforms, or quality control processes At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $45,000 to $85,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Allen Control Systems (ACS) is a cutting-edge defense startup founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact. Position Overview: We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets. You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance. What You’ll Do: * Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity * Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering). * Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets * Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models. * Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. * Coordinate collection of real-world data; coordinate label creation and QA with labelers. * Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. * Implement and own dataset versioning, release management, and lineage and metadata cataloging. What You’ll Need: * 3+ years of experience in data engineering or equivalent fields. * Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment. * Proficient in using AWS for data management and processing. * Proficient in Python for scripting and data processing; proficient with SQL and Linux. * Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field. * Proven ability to communicate well across engineering teams, and write and maintain effective documentation. You’ll Stand Out: * 5+ years of industry experience. * Experience in image/video data engineering for computer vision projects. * Experience with PyTorch DeepCore. * Experience with Unreal Engine. What We Offer: * Competitive salary * ACS Equity Package * Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionRole Overview Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models. Key Responsibilities * Synthesize information from large volumes of data * Annotate and categorize text, images, and other data according to detailed guidelines * Apply predefined rubrics and taxonomies to produce structured, high-quality outputs * Flag inconsistencies, ambiguities, or errors in datasets * Contribute to the improvement of AI systems through consistent annotation work Ideal Qualifications * Ability to synthesize complex or high-volume information into structured formats * Strong critical reasoning, reading comprehension, and written communication skills * Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required) More About the Opportunity • Expected commitment: ~20 hours/weekApplication Process Submit your resume to begin * Complete a Training Assessment * Typical response time: 12 business days We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance., • Your work will not involve access to confidential or proprietary information from any employer, client, or institution., • Payments are weekly on Stripe or Wise, based on services rendered.

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. About the Role HumanSignal is seeking highly qualified mathematics experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating mathematical content to improve AI model performance in mathematical reasoning and problem-solving. Compensation Up to $110 USD/hour based on qualifications and project complexity Required QualificationsEducation • Master's degree required in a mathematics-related field, • PhD strongly preferred in:, • Pure Mathematics, • Applied Mathematics, • Mathematical Statistics, • Computational Mathematics, • Mathematical Physics, • Operations Research, • Mathematics (Pure/Applied), • Statistics/Mathematical Statistics, • Mathematical Physics, • Actuarial Science (with strong mathematical foundation), • Operations Research, • Computational MathematicsResponsibilities, • Review and evaluate mathematical solutions for accuracy, rigor, and clarity, • Annotate mathematical reasoning steps and problem-solving approaches, • Validate AI-generated mathematical content across various difficulty levels, • Identify errors in mathematical logic, notation, and methodology, • Provide detailed feedback on mathematical explanations and proofs, • Work with problems spanning algebra, calculus, statistics, linear algebra, differential equations, and advanced mathematicsQualifications, • Deep understanding of mathematical principles across multiple domains, • Strong analytical and critical thinking skills, • Excellent attention to detail and precision, • Ability to clearly articulate mathematical reasoning, • Experience with mathematical notation and LaTeX preferred, • Familiarity with various problem-solving methodologies, • Ability to work independently and meet deadlinesWork Details, • Flexible, project-based work - work on your own schedule, • Remote position - work from anywhere, • Variable hours based on project availability and your capacity, • Ongoing training and calibration provided, • Quality-focused environment with performance feedbackIdeal Candidate Profile, • Active researchers, professors, or recent graduates in mathematical fields, • Strong publication record or demonstrated mathematical expertise, • Experience in mathematical education, research, or industry applications, • Submit CV/resume highlighting mathematical qualifications, • Provide proof of advanced degree(s), • Complete a brief mathematical assessment HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionContractRemoteRole DescriptionIn this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with, a fast-growing AI Data Services company and subsidiary of, delivering training data for many of the worlds largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the worlds premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained.Your Profile • Bachelors degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care., • 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health., • Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence., • Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology., • Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency., • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications., • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones., • Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Director of Operations, Delivery, and Strategy HumanSignal is building the future of AI through the world's first dedicated data creation labs—purpose-built facilities where expert annotators, domain specialists, and AI trainers collaborate to create the highest-quality training data in the industry. We're hiring a Director of Operations, Delivery, and Strategy to own the complete picture: customer relationships, revenue growth, delivery excellence, and operational execution across all of our service offerings. This role encompasses everything. You'll lead customer engagements from first conversation to long-term partnership. You'll build and scale our data creation labs. You'll own delivery operations for all our customer offerings—whether that's onsite lab work, distributed annotation programs, or custom data solutions. And you'll shape the strategy that drives our growth. This is a rare opportunity to build something transformative from the ground up. You'll work directly with customers to understand their needs, design and execute delivery workflows, build world-class teams, and drive the business forward. If you're an operator who thrives on ownership, moves seamlessly between strategy and execution, and wants to build the infrastructure that powers the next generation of AI, we want to hear from you. You will: • Own end-to-end customer relationships: from initial engagement and scoping, to delivery execution, to expansion and long-term partnership growth, • Build and scale our data creation labs—defining operations, workflows, and the systems that enable world-class data delivery, • Lead delivery operations across all HumanSignal customer offerings, including onsite labs, distributed annotation programs, and custom data solutions, • Drive revenue and growth by identifying opportunities, shaping our go-to-market strategy, and ensuring exceptional customer outcomes, • Build and manage cross-functional teams including lab operations leads, project managers, annotators, domain experts, and distributed contributor networks, • Design and operationalize high-throughput, high-quality workflows that balance speed, accuracy, and cost across diverse data types and customer requirements, • Partner closely with Product, Engineering, and Sales to ensure our offerings are tightly aligned with customer needs and market opportunities, • Define and own key metrics across the business: customer satisfaction, delivery quality, throughput, revenue per engagement, and operational efficiency, • Solve complex operational and strategic challenges—from workforce scaling to international expansion to new service line development, • 10+ years of experience in operations, delivery, strategy, or customer-facing roles, ideally in data services, AI/ML, professional services, or tech-enabled businesses, • Proven track record leading cross-functional teams and owning business outcomes (revenue, P&L, or customer success), • Experience building and scaling operations—whether physical facilities, service delivery teams, or distributed workforces, • Deep customer focus with a history of managing complex, high-touch relationships and driving expansion, • Strong operational rigor: you know how to build systems, measure what matters, and drive continuous improvement, • Ability to move fluidly between strategy and execution—you're equally comfortable shaping long-term vision and solving day-to-day operational challenges, • Data-driven mindset with comfort using analytics tools; SQL or Python experience is a strong plus, • Exceptional problem-solving skills and the ability to thrive in ambiguity, • Experience in data annotation, AI training data, or machine learning operations, • Background in professional services, consulting, or customer success at scale, • Familiarity with workforce management, quality frameworks, or process optimization, • International operations experience, particularly managing distributed teams or offshore delivery The base salary range for this full-time position is $160,000–$220,000 USD, plus equity and benefits. Final compensation will be determined by experience, skills, location, and interview performance. About HumanSignal: HumanSignal is on a mission to make AI work for everyone. We build open-source tools and enterprise solutions that help teams create, manage, and improve the training data that powers AI. Our products—including Label Studio—are used by thousands of companies worldwide, from startups to Fortune 500 enterprises. We're a remote-first company that values impact, ownership, and creativity. We believe the best work happens when people bring their full selves to the table, and we're committed to building an inclusive team that reflects the diversity of the world we're building for. HumanSignal is an equal opportunity employer. We're committed to building a diverse and inclusive workplace, and we don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodations during the hiring process, please let us know.

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