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Location: Remote - Louisiana Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Iowa Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - North Carolina Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Alabama Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: South Africa (remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Strong command of English - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Philippines (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Strong command of English - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: India (Remote); Nepal (Remote); China (Remote); Bhutan (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Strong command of English - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £195,000 — £245,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Michigan Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview We are seeking an experienced Construction Manager to oversee the fit-out of hyperscale data center white space within colocation environments. This role is responsible for managing all aspects of tenant fit-out construction, including coordination of trades, sequencing of work, quality control, and delivery of mission-critical infrastructure. The ideal candidate has strong construction management experience in data centers, with a solid understanding of white space infrastructure such as containment systems, overhead conveyance (including ladder racks and cable tray systems), structural support frameworks, and cooling components (HVAC). Familiarity with structured cabling systems (low voltage and fiber) is a plus. This is a full-time salaried position offering competitive compensation, comprehensive benefits, paid time off, paid training, and performance-based bonuses. This position is based in the Detroit metro area and will work onsite for local data center projects. Approximately 50% travel outside of the Detroit area should be expected at times. Key Responsibilities Lead on-site construction management for data center white space fit-out projects Oversee installation of: Structural hot aisle / cold aisle containment systems Overhead cable tray systems and ladder rack conveyance Structural support systems for cabinets, racks, cable trays, and electrical power distribution infrastructure Cooling infrastructure, including HVAC units Power distribution from PDU down to cabinet level Manage trade contractors and ensure proper sequencing of work (e.g., structural supports → overhead conveyance → electrical distribution → cabling → containment) to maintain schedule and avoid conflicts Coordinate with general contractors, subcontractors, and client stakeholders Enforce quality control (QC) processes to ensure installations meet design specifications, load requirements, and industry standards Monitor project schedule, budget, and progress; proactively identify and resolve risks/issues Ensure compliance with safety standards and site protocols Review construction drawings, submittals, RFIs, and shop drawings related to supports and overhead systems Verify proper installation tolerances, anchoring, and support systems for overhead infrastructure Support commissioning and handover processes Required Qualifications 5-10+ years of construction management experience, preferably in mission-critical or data center environments Proven experience managing white space fit-out / tenant improvement projects in colocation or hyperscale data centers Demonstrated ability to manage multiple subcontractors and deliver projects on schedule Strong knowledge of QA/QC processes, including inspection of support systems and overhead installations Project Management skills including scheduling and budgeting Candidate must have strong problem-solving and decision-making skills Strong stakeholder and client communication Preferred Qualifications Familiarity with low voltage cabling (LVC) and/or fiber optic infrastructure within data centers Procore experience is strongly preferred RCDD-level knowledge or experience with structured cabling design standards (e.g., setting or enforcing standards) Experience in commissioning or turnover of data center white space environments To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Tier 2 PM26 Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode Technologies is a leader in identity verification, offering innovative, AI-driven solutions tailored to diverse industry needs — from financial services to social media and marketplaces. Our platform is designed to maximize user conversion while minimizing fraud, through a multi-layered approach that includes proprietary AI, deepfake detection, and efficient user re-engagement tools. With close to 99% accuracy in facial recognition tied directly to official document issuance systems, and enterprise partnerships with Citibank, HSBC, Amazon, and Chime, Incode stands apart. With over $250M raised from General Atlantic and SoftBank, we're driving the future of digital trust — and we need a builder-minded Total Rewards leader who can design world-class reward programs from the ground up and own every detail of their execution. The Impact You'll Make Incode's Total Rewards function is at an inflection point. Over the past year we moved from a stock-option-only program to a new equity framework that blends time-based options with performance RSUs tied to ARR milestones, launched equity plans in new jurisdictions, expanded our market data, and scoped a job-architecture and leveling project ahead of the next compensation cycle. What we have not had is a single leader who owns all of it end to end. As Vice President, Total Rewards, you will own compensation, equity, benefits and rewards operations for Incoders across the US, LATAM and EMEA. You'll be the executive the CEO, the Board and the leadership team turn to on pay decisions — from a Regional VP's offer in Mexico City to board member grants — and you'll build the governance, systems and team that make those decisions consistent, data-backed and fast. This is a build-and-run role. You set the strategy — and you roll up your sleeves during the comp cycle. What You'll Own & Drive Rewards Strategy & Governance — Define and steward Incode's compensation philosophy, market positioning and pay mix by region. Build the approval matrix, offer guidelines and exception process so decisions are consistent and quick. Serve as authorized signatory for promotions, salary increases, compensation adjustments and bonus confirmations. Job Architecture & Leveling — Lead the job-architecture and leveling project with our external compensation advisors and People Partners, and land it before the next compensation cycle: job families, levels, salary structures and career frameworks, with the metrics that show it worked. Compensation Cycles — Run the annual compensation and performance-linked increase cycle end to end with Finance and People Partners: budget by organization, band updates, manager recommendation frameworks, calibration support, letters and communications. Design and administer bonus and MBO plans with Finance. Equity — Own the equity program: new-hire, promotion, refresh and performance grants; the options-to-RSU framework and vesting design; board and advisor grants; and coordination with Finance, Legal and outside counsel on board resolutions, 409A valuations, the cap table and international plan compliance. Lead equity education for managers and employees. Executive & Offer Compensation — Partner with the CEO, CBOO and Talent Acquisition on executive and GM packages (base and variable mix, equity structure, sign-on and clawback terms), and support the Board's compensation committee on executive pay and benchmarking. Global Benefits — Set the benefits strategy by region with an impact-versus-cost lens; manage brokers, renewals and leave policies across countries so that what we offer in Mexico City, Belgrade and San Francisco each feels like Incode. Sales Compensation Partnership — Partner with Finance and Revenue Operations on sales and customer-success variable plan design, quota-setting methodology, pay mix and payout governance, bringing market data and plan-design discipline. M&A Integration — Lead rewards harmonization for acquisitions, including equity plan assumption, leveling alignment and benefits integration. Tooling & AI — Build an AI-enabled Total Rewards function: market benchmarking, pay-equity monitoring, comp-cycle operations and compensation communication, with clear guardrails on data privacy, accuracy and where human judgment stays non-negotiable. Own the TR tool stack and market data sources. Team — Lead and grow the Total Rewards team. Raise the bar on rigor, turnaround and documentation so that today's ad-hoc requests become repeatable processes. The Qualities That Set You Apart You build and you run — You're comfortable owning the day-to-day with a lean team while building the structure that lets it scale. You speak finance — You build the models yourself, understand burn and dilution, and earn credibility with the CFO and the Board. You bring executive presence — and pace — You work with a CEO who moves fast. You make clear recommendations, protect internal equity, and know when to flex. You operate at every altitude — Board grants in the morning, a Regional VP's offer in Mexico City in the afternoon. The shift energizes you rather than frustrates you. You're AI-forward — You use AI tools in your own work and have a point of view on where they belong in Total Rewards. Your Background Experience — 12+ years in compensation and total rewards, including 4+ years leading the function for a complex, multi-country employer such as a large technology or professional-services firm, with hands-on ownership of compensation cycles, equity programs and benefits. You have run the function with rigor at scale and want to build it at a company of Incode's stage. Equity expertise — Deep expertise in options and RSUs, refresh and performance-grant design, 409A and cap-table coordination, board grants and international equity plans. You have led an options-to-RSU transition or a comparable program change. Global compensation — Experience across the US and at least one of LATAM or EMEA. Mexico experience and Spanish are strong advantages. Certification — CCP, GRP or CEP certification is a plus. Nice to Have Prior experience at an identity verification, cybersecurity, KYC/AML, or data company. Consulting background in total rewards or executive compensation. Why Incode? Be part of a mission-driven company at the intersection of AI, identity, and trust. Work alongside a world-class team backed by General Atlantic and SoftBank. Shape the future of how people — and companies — verify identity at global scale. Competitive compensation, equity participation, and benefits. A culture that rewards ownership, speed, and intellectual curiosity. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Oakland, CA; San Francisco, CA Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Field Operations Manager on Via’s Transit-as-a-Service (TaaS) Operations team, you’ll be responsible for managing operations using our innovative technology platform. You’ll manage daily operations while driving continuous improvement and growth of our services. **This is an in-person position with the expectation that you will be onsite in Bayview, CA 3-5 days per week.** What You’ll Do: Ensure operational excellence and an unbelievable customer experience Oversee operations in person, the business needs may dictate a need for early mornings or evenings at times Manage driver supply to ensure the appropriate amount of vehicles are in service at any given time to meet demand expectations Prioritize operational issues as the real-time point of contact and implement creative solutions to solve problems as they arise Respond to driver feedback and live customer issues Diligently work collaboratively with a broad interdisciplinary team to scale operational processes, systems, and tools to drive rapid growth Analyze, interpret metrics/KPIs in order to identify possible inefficiencies and apply analysis to optimize operations. Who You Are: A socially perceptive, environmentally conscious individual who is aligned with promoting transportation equity and the reduction of carbon emissions. A self-starter who is comfortable taking on a high level of responsibility A driven executor with a track record of end to end ownership of a book of business, and a history of hitting KPIs and revenue goals. A team-focused individual that takes ownership of their work and pride in their team's success. Experienced in project management, creating and refining operational processes, and customer service. Multi-site management experience is a plus. An outgoing and sociable leader; skilled at communicating professionally with partners, customers and driver partners from a broad range of backgrounds. Willing to wear multiple hats and contribute on projects of all types Fluent in English, additional languages a plus Based in the Oakland or SF area can easily commute between operations at least 3-5 times a week Experienced in managing (including scheduling) a team is a plus Taking initiative and owning new projects Comfortable with ambiguity and evolving / adapting as conditions change Experienced in managing projects with multiple stakeholders is a plus Bachelor’s degree is a plus Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000 - 75,000 / year. We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Western US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the PST time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes #LI-REMOTE Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Eastern US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the EST time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive and diverse workplace, and to the principle of equal opportunity for all individuals. We prohibit harassment of any type as well as discrimination based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law. Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Central US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the Central time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components. The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions. You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact. Responsibilities Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution. Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability. Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest. Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities. Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation. Requirements BSc or MSc in Computer Science, Engineering, or a related field. At least 7 years of hands-on experience building complex software systems. At least 3 years of experience as a team leader, actively contributing to design and code development. Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions. Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity. Strong ability to lead end-to-end development processes while remaining technically involved. Strong communication and collaboration skills, with the ability to work effectively across teams. A strong sense of ownership and accountability, leading by example and driving execution. A collaborative leader who listens, values others’ input, and motivates team members. Strong commitment to clean code, sound architecture, and high engineering standards. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re looking for a Principal AI Software Engineer to lead the design and development of the evolution and scaling of Aidoc’s AI architecture. You’ll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable. You’ll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups. This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers. Responsibilities Lead the design and implementation of scalable and reliable backend services. Drive architectural discussions and make key technical decisions within your domain. Collaborate with algo teams and cross-functional teams to translate business and product goals into technical solutions. Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability. Mentor and support engineers through design reviews, code reviews, and knowledge sharing. Continuously improve development processes, observability, and deployment pipelines. Contribute to the evolution of the platform’s architecture as the company and product scale. Requirements BA/BSc/MSc in Computer Science, Engineering or a related field. 10+ years of hands-on experience designing and developing complex, production-grade systems. Proven track record in architecting and leading large-scale software projects. Deep understanding of system design, distributed systems, and software architecture patterns. Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). Experience with cloud environments (AWS or equivalent), containerized deployments, and infrastructure as code (e.g., Docker, Kubernetes, Terraform). Experience designing and scaling event-driven architectures and data-intensive systems. Excellent communication and influencing skills - able to align multiple teams toward a shared technical vision. A proactive mindset, strong sense of ownership, and passion for solving complex engineering problems. Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a role in Aidoc’s core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations. Responsibilities Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach. Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects. Design and conduct research and experimentation to improve algorithm performance and accuracy. Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team. Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives. Provide strategic direction and technical mentoring to elevate the capabilities of the AI team. Requirements Master's or Ph.D. degree in Computer Science, Electrical Engineering, Physics, or a related field. 7+ years of experience in designing and implementing AI/DL algorithms, with a preference for experience in healthcare or medical imaging. Proven track record of leading AI projects and delivering AI solutions to commercial success. Exceptional analytical and problem-solving skills. Strong ability to work independently and as part of a cross-functional team. Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proficiency in Python and familiarity with relevant AI/ML frameworks. Experience in both computer vision and NLP is highly desirable. Prior experience in the healthcare industry is an advantage. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.