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Senior Workday Software Engineer (Integration) Location: Remote from Spain (an indefinite Spanish employment contract) The Client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, was founded in 1984 and employs approximately 14,900 coworkers. For the trailing twelve months ended June 30, 2023, generated Net sales of approximately $22 billion. The project's team is working on migrating existing Peoplesoft Financials and IBMi Financials platforms to Workday Platforms. We're seeking a Workday Developer to support new integration requirements, development, and testing. Requirements: Must have: • 5 + years of Workday Integrations Experience, • Experience with various Workday Integration methods EIB, Core Connectors, Workday Studio & BIRT and Report Writer, • Strong experience using Workday Studio, • Strong experience and understanding of various Workday Financial DATA SOURCES, • Advanced skills with Web Services, SQL, JSON, .Net, • Experience creating Workday custom reports and calculated fields, • Strong communication skills are required, • Strong understanding of Workday security, • Experience working with or leading Agile teams, • Ability to work independently, manage multiple projects, and meet tight deadlines, • Bachelor's Degree in Computer Science or related field, • Shifted hours 10 AM- 7 PM or 9 AM-6 PM. Central time overlap required: ~2-4 hours per day. Nice to have: • Financial experience is a plus, • Workday certification is preferred, • Experience in Agile SAFe Framework Responsibilities: • Collaborate / Coordinate / Drive the technical design, build, test & deployment of new/enhanced Workday financial integration solutions using a myriad of integration methods (EIBs, Core Connectors, Cloud Connect, Workday Studio, REST/POST Integration), • Become a critical team member in the active initiative to implement Workday financial (includes Core Financials, Accounting Center) ramping up quickly on in-flight integrations, • Document and maintain artifacts around financial integrations, dependencies and reporting requirements, • Collaborate with cross-functional teams to identify data requirements and design solutions for complex financial analysis., • Demonstrate experience in finance related integrations in areas including Banking & Settlement, Supplier & Customer accounts, AR/AP, Financial Reporting, • Work closely with Finance, Accounting and IT teams to plan and execute against new Workday related initiatives or enhancements, • Engage with third party vendors as needed on planned integrations or to support and maintain existing integrations Why this position: • At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a Physics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical Physics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced Physics concepts. Key Responsibilities: Create high-quality, accurate, and pedagogically sound content in physics, including: • Conceptual explanations, • Problem sets and solutions, • Theoretical summaries and derivations, • Research abstracts and technical writing, • Collaborate with AI researchers and engineers to:, • Review and refine physics-related model outputs, • Identify and fill conceptual gaps in LLM training data, • Build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics, etc.), • Provide feedback to improve LLM performance in reasoning, solving, and communicating physics content., • Ensure consistency, depth, and scientific accuracy across all content., • Contribute to the development of content standards and annotation guidelines., • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills Eligibility Criteria: • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills, • Experience in teaching, curriculum design, academic publishing, or textbook writing, • Strong analytical and problem-solving skills, • Proficient in LaTeX, Markdown, or similar tools used for scientific documentation, • Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

Senior Workday Software Engineer (Integration) Location: Remote from Spain (an indefinite Spanish employment contract) The Client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, was founded in 1984 and employs approximately 14,900 coworkers. For the trailing twelve months ended June 30, 2023, generated Net sales of approximately $22 billion. The project's team is working on migrating existing Peoplesoft Financials and IBMi Financials platforms to Workday Platforms. We're seeking a Workday Developer to support new integration requirements, development, and testing. Requirements: Must have: • 5 + years of Workday Integrations Experience, • Experience with various Workday Integration methods EIB, Core Connectors, Workday Studio & BIRT and Report Writer, • Strong experience using Workday Studio, • Strong experience and understanding of various Workday Financial DATA SOURCES, • Advanced skills with Web Services, SQL, JSON, .Net, • Experience creating Workday custom reports and calculated fields, • Strong communication skills are required, • Strong understanding of Workday security, • Experience working with or leading Agile teams, • Ability to work independently, manage multiple projects, and meet tight deadlines, • Bachelor's Degree in Computer Science or related field, • Shifted hours 10 AM- 7 PM or 9 AM-6 PM. Central time overlap required: ~2-4 hours per day. Nice to have: • Financial experience is a plus, • Workday certification is preferred, • Experience in Agile SAFe Framework Responsibilities: • Collaborate / Coordinate / Drive the technical design, build, test & deployment of new/enhanced Workday financial integration solutions using a myriad of integration methods (EIBs, Core Connectors, Cloud Connect, Workday Studio, REST/POST Integration), • Become a critical team member in the active initiative to implement Workday financial (includes Core Financials, Accounting Center) ramping up quickly on in-flight integrations, • Document and maintain artifacts around financial integrations, dependencies and reporting requirements, • Collaborate with cross-functional teams to identify data requirements and design solutions for complex financial analysis., • Demonstrate experience in finance related integrations in areas including Banking & Settlement, Supplier & Customer accounts, AR/AP, Financial Reporting, • Work closely with Finance, Accounting and IT teams to plan and execute against new Workday related initiatives or enhancements, • Engage with third party vendors as needed on planned integrations or to support and maintain existing integrations Why this position: • At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re excited to share that Innodata Inc. is expanding its AI and Machine Learning talent network, and we are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy. The role involves checking content quality, correctness, and proper categorization according to project guidelines. If you enjoy working with data, pay close attention to detail, and want to contribute to real-world AI innovation, this is an excellent opportunity to be part of a forward-thinking global team. Job Title: Content Reviewer Location: Remote /Spain Type: Freelance Required Engagement: 30 hours per week Rate: $18 per hour Contract Duration: 3–6 months Key Responsibilities: • Review digital content and evaluate its quality and accuracy, • Help improve AI responses by providing accurate evaluations, • Follow project guidelines while reviewing content, • Identify errors, inconsistencies, or inappropriate content, • Categorize and tag content appropriately Key Requirements: • Good knowledge of pop culture, brands, and current events, • Understanding of taxonomy and content categorization, • Familiarity with social media platforms is mandatory, • Strong attention to detail and communication skills Assessment Process: Candidates will be required to complete the following assessments: • LLM Evaluation Assessment, • Pearson Versant Assessment (C1/C2 only), • ICAP MRS Assessment (link will be shared soon) Candidates who successfully pass all three assessments will be invited for a short interview with the project team. If you’re detail-oriented, tech-curious, and eager to make an impact in the world of AI, we’d love to have you join our growing network. If Interested, kindly send your resume at: . “Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.”

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re excited to share that Innodata Inc. is expanding its AI and Machine Learning talent network, and we are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy. The role involves checking content quality, correctness, and proper categorization according to project guidelines. If you enjoy working with data, pay close attention to detail, and want to contribute to real-world AI innovation, this is an excellent opportunity to be part of a forward-thinking global team. Job Title: Content Reviewer Location: Remote /Spain Type: Freelance Required Engagement: 30 hours per week Rate: $18 per hour Contract Duration: 3–6 months Key Responsibilities: • Review digital content and evaluate its quality and accuracy, • Help improve AI responses by providing accurate evaluations, • Follow project guidelines while reviewing content, • Identify errors, inconsistencies, or inappropriate content, • Categorize and tag content appropriately Key Requirements: • Good knowledge of pop culture, brands, and current events, • Understanding of taxonomy and content categorization, • Familiarity with social media platforms is mandatory, • Strong attention to detail and communication skills Assessment Process: Candidates will be required to complete the following assessments: • LLM Evaluation Assessment, • Pearson Versant Assessment (C1/C2 only), • ICAP MRS Assessment (link will be shared soon) Candidates who successfully pass all three assessments will be invited for a short interview with the project team. If you’re detail-oriented, tech-curious, and eager to make an impact in the world of AI, we’d love to have you join our growing network. If Interested, kindly send your resume at: . “Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.”

Senior Workday Software Engineer (Integration) Location: Remote from Spain (an indefinite Spanish employment contract) The Client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, was founded in 1984 and employs approximately 14,900 coworkers. For the trailing twelve months ended June 30, 2023, generated Net sales of approximately $22 billion. The project's team is working on migrating existing Peoplesoft Financials and IBMi Financials platforms to Workday Platforms. We're seeking a Workday Developer to support new integration requirements, development, and testing. Requirements: Must have: • 5 + years of Workday Integrations Experience, • Experience with various Workday Integration methods EIB, Core Connectors, Workday Studio & BIRT and Report Writer, • Strong experience using Workday Studio, • Strong experience and understanding of various Workday Financial DATA SOURCES, • Advanced skills with Web Services, SQL, JSON, .Net, • Experience creating Workday custom reports and calculated fields, • Strong communication skills are required, • Strong understanding of Workday security, • Experience working with or leading Agile teams, • Ability to work independently, manage multiple projects, and meet tight deadlines, • Bachelor's Degree in Computer Science or related field, • Shifted hours 10 AM- 7 PM or 9 AM-6 PM. Central time overlap required: ~2-4 hours per day. Nice to have: • Financial experience is a plus, • Workday certification is preferred, • Experience in Agile SAFe Framework Responsibilities: • Collaborate / Coordinate / Drive the technical design, build, test & deployment of new/enhanced Workday financial integration solutions using a myriad of integration methods (EIBs, Core Connectors, Cloud Connect, Workday Studio, REST/POST Integration), • Become a critical team member in the active initiative to implement Workday financial (includes Core Financials, Accounting Center) ramping up quickly on in-flight integrations, • Document and maintain artifacts around financial integrations, dependencies and reporting requirements, • Collaborate with cross-functional teams to identify data requirements and design solutions for complex financial analysis., • Demonstrate experience in finance related integrations in areas including Banking & Settlement, Supplier & Customer accounts, AR/AP, Financial Reporting, • Work closely with Finance, Accounting and IT teams to plan and execute against new Workday related initiatives or enhancements, • Engage with third party vendors as needed on planned integrations or to support and maintain existing integrations Why this position: • At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re excited to share that Innodata Inc. is expanding its AI and Machine Learning talent network, and we are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy. The role involves checking content quality, correctness, and proper categorization according to project guidelines. If you enjoy working with data, pay close attention to detail, and want to contribute to real-world AI innovation, this is an excellent opportunity to be part of a forward-thinking global team. Job Title: Content Reviewer Location: Remote /Spain Type: Freelance Required Engagement: 30 hours per week Rate: $18 per hour Contract Duration: 3–6 months Key Responsibilities: • Review digital content and evaluate its quality and accuracy, • Help improve AI responses by providing accurate evaluations, • Follow project guidelines while reviewing content, • Identify errors, inconsistencies, or inappropriate content, • Categorize and tag content appropriately Key Requirements: • Good knowledge of pop culture, brands, and current events, • Understanding of taxonomy and content categorization, • Familiarity with social media platforms is mandatory, • Strong attention to detail and communication skills Assessment Process: Candidates will be required to complete the following assessments: • LLM Evaluation Assessment, • Pearson Versant Assessment (C1/C2 only), • ICAP MRS Assessment (link will be shared soon) Candidates who successfully pass all three assessments will be invited for a short interview with the project team. If you’re detail-oriented, tech-curious, and eager to make an impact in the world of AI, we’d love to have you join our growing network. If Interested, kindly send your resume at: . “Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.”

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a Physics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical Physics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced Physics concepts. Key Responsibilities: Create high-quality, accurate, and pedagogically sound content in physics, including: • Conceptual explanations, • Problem sets and solutions, • Theoretical summaries and derivations, • Research abstracts and technical writing, • Collaborate with AI researchers and engineers to:, • Review and refine physics-related model outputs, • Identify and fill conceptual gaps in LLM training data, • Build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics, etc.), • Provide feedback to improve LLM performance in reasoning, solving, and communicating physics content., • Ensure consistency, depth, and scientific accuracy across all content., • Contribute to the development of content standards and annotation guidelines., • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills Eligibility Criteria: • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills, • Experience in teaching, curriculum design, academic publishing, or textbook writing, • Strong analytical and problem-solving skills, • Proficient in LaTeX, Markdown, or similar tools used for scientific documentation, • Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a highly skilled and motivated Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will play a critical role in guiding AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain. Key Responsibilities: • Collaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate Large Language Models with a focus on Chemistry content., • Develop high-quality, accurate, and domain-specific datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content., • Review and validate AI-generated content for technical accuracy, clarity, and contextual relevance in the field of Chemistry., • Provide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning., • Assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data., • Ensure all content meets scientific rigor and is aligned with industry best practices., • Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies. Key Qualifications: • Master’s or PhD in Chemistry, Chemical Engineering, or related scientific field., • Strong theoretical and practical knowledge of chemistry concepts (Organic, Inorganic, Physical, Analytical, Biochemistry,polymer chemistry,radiation chemistry etc.)., • Prior experience in academic research, technical writing, or teaching is highly desirable., • Experience working with data annotation, content development, or training AI models is a plus., • Excellent written and verbal communication skills in English., • Strong analytical and problem-solving skills., • Detail-oriented with a passion for accuracy and scientific precision. Technical Skills (Preferred): • Familiarity with AI, Machine Learning, and Large Language Models (LLMs), • Experience using annotation tools or content management platforms., • Basic knowledge of Python or data handling tools (preferred but not mandatory)., • Understanding of data quality control processes. As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a highly skilled and motivated Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will play a critical role in guiding AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain. Key Responsibilities: • Collaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate Large Language Models with a focus on Chemistry content., • Develop high-quality, accurate, and domain-specific datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content., • Review and validate AI-generated content for technical accuracy, clarity, and contextual relevance in the field of Chemistry., • Provide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning., • Assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data., • Ensure all content meets scientific rigor and is aligned with industry best practices., • Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies. Key Qualifications: • Master’s or PhD in Chemistry, Chemical Engineering, or related scientific field., • Strong theoretical and practical knowledge of chemistry concepts (Organic, Inorganic, Physical, Analytical, Biochemistry,polymer chemistry,radiation chemistry etc.)., • Prior experience in academic research, technical writing, or teaching is highly desirable., • Experience working with data annotation, content development, or training AI models is a plus., • Excellent written and verbal communication skills in English., • Strong analytical and problem-solving skills., • Detail-oriented with a passion for accuracy and scientific precision. Technical Skills (Preferred): • Familiarity with AI, Machine Learning, and Large Language Models (LLMs), • Experience using annotation tools or content management platforms., • Basic knowledge of Python or data handling tools (preferred but not mandatory)., • Understanding of data quality control processes. As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a highly skilled and motivated Chemistry Subject Matter Expert (SME) to contribute to the development and training of AI Large Language Models (LLMs). As a Chemistry SME, you will play a critical role in guiding AI models to understand complex chemistry concepts, ensuring accuracy, relevance, and contextual understanding in the domain. Key Responsibilities: • Collaborate with AI researchers, data scientists, and engineers to train, refine, and evaluate Large Language Models with a focus on Chemistry content., • Develop high-quality, accurate, and domain-specific datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content., • Review and validate AI-generated content for technical accuracy, clarity, and contextual relevance in the field of Chemistry., • Provide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning., • Assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data., • Ensure all content meets scientific rigor and is aligned with industry best practices., • Stay up to date with the latest advancements in Chemistry and AI to continuously improve training methodologies. Key Qualifications: • Master’s or PhD in Chemistry, Chemical Engineering, or related scientific field., • Strong theoretical and practical knowledge of chemistry concepts (Organic, Inorganic, Physical, Analytical, Biochemistry,polymer chemistry,radiation chemistry etc.)., • Prior experience in academic research, technical writing, or teaching is highly desirable., • Experience working with data annotation, content development, or training AI models is a plus., • Excellent written and verbal communication skills in English., • Strong analytical and problem-solving skills., • Detail-oriented with a passion for accuracy and scientific precision. Technical Skills (Preferred): • Familiarity with AI, Machine Learning, and Large Language Models (LLMs), • Experience using annotation tools or content management platforms., • Basic knowledge of Python or data handling tools (preferred but not mandatory)., • Understanding of data quality control processes. As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a Physics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical Physics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced Physics concepts. Key Responsibilities: Create high-quality, accurate, and pedagogically sound content in physics, including: • Conceptual explanations, • Problem sets and solutions, • Theoretical summaries and derivations, • Research abstracts and technical writing, • Collaborate with AI researchers and engineers to:, • Review and refine physics-related model outputs, • Identify and fill conceptual gaps in LLM training data, • Build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics, etc.), • Provide feedback to improve LLM performance in reasoning, solving, and communicating physics content., • Ensure consistency, depth, and scientific accuracy across all content., • Contribute to the development of content standards and annotation guidelines., • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills Eligibility Criteria: • Master's or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered), • Strong background in theoretical and/or applied physics, • Excellent technical and academic writing skills, • Experience in teaching, curriculum design, academic publishing, or textbook writing, • Strong analytical and problem-solving skills, • Proficient in LaTeX, Markdown, or similar tools used for scientific documentation, • Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists As part of the project, you are required to complete the English language assessment. The assessment is mandatory & non-billable If interested, kindly share your updated resume at :

We are hiring a Senior AI & Data Systems Engineer Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers has revitalised soil functionality and agricultural sustainability worldwide. As an AI & Data Systems Engineer, you will bridge the gap between complex soil biology and scalable AI solutions. You won't just build models; you will architect the "Intelligence Layer" of Biome Makers, integrating state-of-the-art Generative AI with our proprietary biological database to revolutionize how the world understands soil health. Location: Spain (remote) Duties & Responsibilities: • Design and deploy robust AI/ML pipelines, with a specific focus on Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex agronomic interpretations., • Lead the architectural transition towards a centralized, high-performance data repository, ensuring seamless data ingestion and normalization from heterogeneous global sources., • Collaborate with the Product team to develop "Summarized Data Subsets" and interactive dashboard metrics that enhance our BeCrop portal., • Build high-quality, open-source-ready Python tooling, ensuring reproducibility, containerization, and modern CI/CD/MLOps workflows., • Implement rigorous data-versioning strategies aligned with ISO 27001 standards, ensuring IP protection while enabling data enrichment., • Mentor the research team in software engineering best practices and lead the adoption of emerging AI technologies (e.g., Vertex AI, AWS Bedrock). Job Competencies & Personal Attributes: • MSc. or BSc. in Computer Science, AI, or a related quantitative field (required), • 5+ years of professional experience in software engineering, with expert-level Python (clean code, design patterns, testing) (required), • Proven experience developing and scaling algorithms in cloud environments (AWS/GCP) (required)., • Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and fine-tuning models., • Experience with Docker, Kubernetes, and automated deployment pipelines for ML models., • Practical experience in database design (SQL/NoSQL) and managing complex Data Warehouses., • While biology knowledge is a plus, a strong curiosity for Agriculture and its environmental impact is essential., • Fluent in English and Spanish (oral and written), capable of translating technical AI concepts for non-technical stakeholders. Best Perks in the Industry • Competitive Salary, • Remote Work Environment, • Flexible Scheduling Hours, • Fridays pms off, • Coworking Spaces available, • Competitive & Quick Growth Path, • Professional Development & Education Opportunities, • Cross-department Support Biome Makers is an ecosystem. Our team specialises in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities: Spain, USA, Canada, France, Argentina, and many other countries. We are a team focused on a final goal: To promote sustainable agriculture worldwide! Afterall, soil is alive. It harbours an abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, national origin, disability, or veteran status. We'd love to hear from you!

We are hiring a Senior AI & Data Systems Engineer Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers has revitalised soil functionality and agricultural sustainability worldwide. As an AI & Data Systems Engineer, you will bridge the gap between complex soil biology and scalable AI solutions. You won't just build models; you will architect the "Intelligence Layer" of Biome Makers, integrating state-of-the-art Generative AI with our proprietary biological database to revolutionize how the world understands soil health. Location: Spain (remote) Duties & Responsibilities: • Design and deploy robust AI/ML pipelines, with a specific focus on Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex agronomic interpretations., • Lead the architectural transition towards a centralized, high-performance data repository, ensuring seamless data ingestion and normalization from heterogeneous global sources., • Collaborate with the Product team to develop "Summarized Data Subsets" and interactive dashboard metrics that enhance our BeCrop portal., • Build high-quality, open-source-ready Python tooling, ensuring reproducibility, containerization, and modern CI/CD/MLOps workflows., • Implement rigorous data-versioning strategies aligned with ISO 27001 standards, ensuring IP protection while enabling data enrichment., • Mentor the research team in software engineering best practices and lead the adoption of emerging AI technologies (e.g., Vertex AI, AWS Bedrock). Job Competencies & Personal Attributes: • MSc. or BSc. in Computer Science, AI, or a related quantitative field (required), • 5+ years of professional experience in software engineering, with expert-level Python (clean code, design patterns, testing) (required), • Proven experience developing and scaling algorithms in cloud environments (AWS/GCP) (required)., • Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and fine-tuning models., • Experience with Docker, Kubernetes, and automated deployment pipelines for ML models., • Practical experience in database design (SQL/NoSQL) and managing complex Data Warehouses., • While biology knowledge is a plus, a strong curiosity for Agriculture and its environmental impact is essential., • Fluent in English and Spanish (oral and written), capable of translating technical AI concepts for non-technical stakeholders. Best Perks in the Industry • Competitive Salary, • Remote Work Environment, • Flexible Scheduling Hours, • Fridays pms off, • Coworking Spaces available, • Competitive & Quick Growth Path, • Professional Development & Education Opportunities, • Cross-department Support Biome Makers is an ecosystem. Our team specialises in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities: Spain, USA, Canada, France, Argentina, and many other countries. We are a team focused on a final goal: To promote sustainable agriculture worldwide! Afterall, soil is alive. It harbours an abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, national origin, disability, or veteran status. We'd love to hear from you!

We are hiring a Senior AI & Data Systems Engineer Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers has revitalised soil functionality and agricultural sustainability worldwide. As an AI & Data Systems Engineer, you will bridge the gap between complex soil biology and scalable AI solutions. You won't just build models; you will architect the "Intelligence Layer" of Biome Makers, integrating state-of-the-art Generative AI with our proprietary biological database to revolutionize how the world understands soil health. Location: Spain (remote) Duties & Responsibilities: • Design and deploy robust AI/ML pipelines, with a specific focus on Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex agronomic interpretations., • Lead the architectural transition towards a centralized, high-performance data repository, ensuring seamless data ingestion and normalization from heterogeneous global sources., • Collaborate with the Product team to develop "Summarized Data Subsets" and interactive dashboard metrics that enhance our BeCrop portal., • Build high-quality, open-source-ready Python tooling, ensuring reproducibility, containerization, and modern CI/CD/MLOps workflows., • Implement rigorous data-versioning strategies aligned with ISO 27001 standards, ensuring IP protection while enabling data enrichment., • Mentor the research team in software engineering best practices and lead the adoption of emerging AI technologies (e.g., Vertex AI, AWS Bedrock). Job Competencies & Personal Attributes: • MSc. or BSc. in Computer Science, AI, or a related quantitative field (required), • 5+ years of professional experience in software engineering, with expert-level Python (clean code, design patterns, testing) (required), • Proven experience developing and scaling algorithms in cloud environments (AWS/GCP) (required)., • Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and fine-tuning models., • Experience with Docker, Kubernetes, and automated deployment pipelines for ML models., • Practical experience in database design (SQL/NoSQL) and managing complex Data Warehouses., • While biology knowledge is a plus, a strong curiosity for Agriculture and its environmental impact is essential., • Fluent in English and Spanish (oral and written), capable of translating technical AI concepts for non-technical stakeholders. Best Perks in the Industry • Competitive Salary, • Remote Work Environment, • Flexible Scheduling Hours, • Fridays pms off, • Coworking Spaces available, • Competitive & Quick Growth Path, • Professional Development & Education Opportunities, • Cross-department Support Biome Makers is an ecosystem. Our team specialises in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities: Spain, USA, Canada, France, Argentina, and many other countries. We are a team focused on a final goal: To promote sustainable agriculture worldwide! Afterall, soil is alive. It harbours an abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, national origin, disability, or veteran status. We'd love to hear from you!

About Innodata: Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more. With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence. About the Role: We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications. You will contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines, by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights. Key Responsibilities: • Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems., • Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge., • Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns., • Support the development of guidelines for scientific content generation and annotation., • Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects., • Conduct domain-specific research and synthesize findings to guide model improvements., • Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content. Qualifications: • PhD in Physics, Chemistry, Biology, Computer Science, or a closely related scientific discipline., • Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems., • Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology., • Attention to detail and ability to critically evaluate scientific content for accuracy and clarity., • Excellent writing, editing, and communication skills. Important Notice: • Note 1 :All assessments and interviews must be completed solely by the candidate applying for the position. Any form of impersonation, third-party assistance, or misrepresentation during the hiring process will be considered a serious violation of company policy., • If any discrepancy, misrepresentation, or fraudulent activity is identified in your candidature at any stage of the hiring process, your candidature will be cancelled with immediate effect without any further notice. The organization also reserves the right to take appropriate strict action in case of any attempted fraud, malpractice, or submission of false information., • Note 2 :The organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.

DocuSketch is a leading software solution provider for the restoration, property insurance, and real estate industries in North America. Our cutting-edge digital platforms enable restoration companies, adjusters, and insurers to efficiently document, manage, and process property claims. Driven by a loyal customer base, DocuSketch has become one of the fastest-growing technology companies in the proptech sector. Our headquarters are in Potsdam, Germany, with large teams in the US, Canada, and Serbia. We are currently undergoing an exciting Al-First transformation and a strategic migration to Kotlin Multiplatform / Compose Multiplatform, enabling us to build once and deploy to both iOS and Android, while maintaining native look and feel on iOS. Role Overview: As an AI-First QA Automation Engineer (Mobile), you will be instrumental in ensuring the quality and reliability of the next generation of mobile applications for restoration professionals working in the field. You will build and maintain comprehensive test automation frameworks using WebdriverIO/Appium for cross-platform mobile testing and Playwright for web testing, working closely with our mobile development team during our greenfield application rewrite. You will be part of an AI-First QA practice that operates as an internal centre of expertise, partnering with teams across the organisation to embed quality throughout the development lifecycle. Rather than sitting within a single squad, you will bring AI-augmented testing capabilities — covering test creation, maintenance, and analysis — to multiple teams, helping them ship with confidence across iOS and Android. You will set the quality bar, define standards, and enable teams to own their own quality outcomes in challenging field conditions. Your responsibilities: Mobile Test Automation — 60% • Design, develop, and maintain automated test suites using WebdriverIO/Appium for iOS and Android applications, • Implement cross-platform test strategies that maximize code reuse while handling platform-specific scenarios, • Create comprehensive test coverage for complex workflows: offline-first functionality, hardware camera integrations, sync mechanisms, and field-specific features, • Develop and maintain CI/CD pipeline integration for automated testing on real devices and emulators/simulators, • Monitor test execution, analyze failures, and maintain test stability, • Drive test automation best practices and quality standards across the team Web Test Automation — 20% • Build and maintain automated test suites using Playwright for web applications, • Ensure consistency between mobile and web experiences through parallel test coverage Quality Advocacy & Collaboration — 20% • Partner with mobile engineers to shift quality left through testable architecture and early bug detection, • Collaborate with product and design teams to define acceptance criteria and test scenarios, • Conduct manual exploratory testing for new features and complex user flows, • Contribute to quality metrics, reporting, and continuous improvement initiatives What you bring: • Experience using AI tools like Cursor, Claude Code, GitHub Copilot to accelerate test development and maintenance, • Comfort with AI-augmented workflows for test case generation, debugging, and code review Hard skills: • 5+ years of experience in mobile QA automation for iOS and Android applications, • Solid experience using Appium for mobile test automation, • Strong expertise with Playwright or other frameworks for web test automation, • Knowledge of JavaScript/TypeScript for test framework development, • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar), • Experience with device farms and cloud testing platforms (BrowserStack, Sauce Labs, AWS Device Farm, or similar) Soft skills: • Strong analytical and problem-solving abilities, • Proactive mindset for identifying quality risks and improvement opportunities, • Detail-oriented with a commitment to quality and user experience, • Eagerness to learn and adapt to the rapidly changing AI landscape, • Collaborative mindset for working in cross-functional teams, • Excellent communication skills in English Nice to have: • Experience testing offline-first applications and sync mechanisms, • Background in testing applications that integrate with external hardware (Bluetooth, WiFi devices), • AR / 3D visualization experience What we offer: • A fully remote job, • Greenfield project (application rewrite) and an opportunity to shape its future from the early days, • Training budget: courses, conferences etc., • Flexible working arrangements including remote work, • Latest MacBook Pro The position will be remote in any location of choice in Europe (outside Russia, Ukraine, and Belarus). Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada. We look forward to receiving your application! Company website: www.docusketch.com www.immoviewer.com

About Innodata: Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more. With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence. About the Role: We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications. You will contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines, by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights. Key Responsibilities: • Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems., • Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge., • Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns., • Support the development of guidelines for scientific content generation and annotation., • Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects., • Conduct domain-specific research and synthesize findings to guide model improvements., • Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content. Qualifications: • PhD in Physics, Chemistry, Biology, Computer Science, or a closely related scientific discipline., • Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems., • Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology., • Attention to detail and ability to critically evaluate scientific content for accuracy and clarity., • Excellent writing, editing, and communication skills. Important Notice: • Note 1 :All assessments and interviews must be completed solely by the candidate applying for the position. Any form of impersonation, third-party assistance, or misrepresentation during the hiring process will be considered a serious violation of company policy., • If any discrepancy, misrepresentation, or fraudulent activity is identified in your candidature at any stage of the hiring process, your candidature will be cancelled with immediate effect without any further notice. The organization also reserves the right to take appropriate strict action in case of any attempted fraud, malpractice, or submission of false information., • Note 2 :The organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.

About Innodata: Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more. With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence. About the Role: We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications. You will contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines, by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights. Key Responsibilities: • Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems., • Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge., • Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns., • Support the development of guidelines for scientific content generation and annotation., • Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects., • Conduct domain-specific research and synthesize findings to guide model improvements., • Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content. Qualifications: • PhD in Physics, Chemistry, Biology, Computer Science, or a closely related scientific discipline., • Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems., • Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology., • Attention to detail and ability to critically evaluate scientific content for accuracy and clarity., • Excellent writing, editing, and communication skills. Important Notice: • Note 1 :All assessments and interviews must be completed solely by the candidate applying for the position. Any form of impersonation, third-party assistance, or misrepresentation during the hiring process will be considered a serious violation of company policy., • If any discrepancy, misrepresentation, or fraudulent activity is identified in your candidature at any stage of the hiring process, your candidature will be cancelled with immediate effect without any further notice. The organization also reserves the right to take appropriate strict action in case of any attempted fraud, malpractice, or submission of false information., • Note 2 :The organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.

DocuSketch is a leading software solution provider for the restoration, property insurance, and real estate industries in North America. Our cutting-edge digital platforms enable restoration companies, adjusters, and insurers to efficiently document, manage, and process property claims. Driven by a loyal customer base, DocuSketch has become one of the fastest-growing technology companies in the proptech sector. Our headquarters are in Potsdam, Germany, with large teams in the US, Canada, and Serbia. We are currently undergoing an exciting Al-First transformation and a strategic migration to Kotlin Multiplatform / Compose Multiplatform, enabling us to build once and deploy to both iOS and Android, while maintaining native look and feel on iOS. Role Overview: As an AI-First QA Automation Engineer (Mobile), you will be instrumental in ensuring the quality and reliability of the next generation of mobile applications for restoration professionals working in the field. You will build and maintain comprehensive test automation frameworks using WebdriverIO/Appium for cross-platform mobile testing and Playwright for web testing, working closely with our mobile development team during our greenfield application rewrite. You will be part of an AI-First QA practice that operates as an internal centre of expertise, partnering with teams across the organisation to embed quality throughout the development lifecycle. Rather than sitting within a single squad, you will bring AI-augmented testing capabilities — covering test creation, maintenance, and analysis — to multiple teams, helping them ship with confidence across iOS and Android. You will set the quality bar, define standards, and enable teams to own their own quality outcomes in challenging field conditions. Your responsibilities: Mobile Test Automation — 60% • Design, develop, and maintain automated test suites using WebdriverIO/Appium for iOS and Android applications, • Implement cross-platform test strategies that maximize code reuse while handling platform-specific scenarios, • Create comprehensive test coverage for complex workflows: offline-first functionality, hardware camera integrations, sync mechanisms, and field-specific features, • Develop and maintain CI/CD pipeline integration for automated testing on real devices and emulators/simulators, • Monitor test execution, analyze failures, and maintain test stability, • Drive test automation best practices and quality standards across the team Web Test Automation — 20% • Build and maintain automated test suites using Playwright for web applications, • Ensure consistency between mobile and web experiences through parallel test coverage Quality Advocacy & Collaboration — 20% • Partner with mobile engineers to shift quality left through testable architecture and early bug detection, • Collaborate with product and design teams to define acceptance criteria and test scenarios, • Conduct manual exploratory testing for new features and complex user flows, • Contribute to quality metrics, reporting, and continuous improvement initiatives What you bring: • Experience using AI tools like Cursor, Claude Code, GitHub Copilot to accelerate test development and maintenance, • Comfort with AI-augmented workflows for test case generation, debugging, and code review Hard skills: • 5+ years of experience in mobile QA automation for iOS and Android applications, • Solid experience using Appium for mobile test automation, • Strong expertise with Playwright or other frameworks for web test automation, • Knowledge of JavaScript/TypeScript for test framework development, • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar), • Experience with device farms and cloud testing platforms (BrowserStack, Sauce Labs, AWS Device Farm, or similar) Soft skills: • Strong analytical and problem-solving abilities, • Proactive mindset for identifying quality risks and improvement opportunities, • Detail-oriented with a commitment to quality and user experience, • Eagerness to learn and adapt to the rapidly changing AI landscape, • Collaborative mindset for working in cross-functional teams, • Excellent communication skills in English Nice to have: • Experience testing offline-first applications and sync mechanisms, • Background in testing applications that integrate with external hardware (Bluetooth, WiFi devices), • AR / 3D visualization experience What we offer: • A fully remote job, • Greenfield project (application rewrite) and an opportunity to shape its future from the early days, • Training budget: courses, conferences etc., • Flexible working arrangements including remote work, • Latest MacBook Pro The position will be remote in any location of choice in Europe (outside Russia, Ukraine, and Belarus). Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada. We look forward to receiving your application! Company website: www.docusketch.com www.immoviewer.com

DocuSketch is a leading software solution provider for the restoration, property insurance, and real estate industries in North America. Our cutting-edge digital platforms enable restoration companies, adjusters, and insurers to efficiently document, manage, and process property claims. Driven by a loyal customer base, DocuSketch has become one of the fastest-growing technology companies in the proptech sector. Our headquarters are in Potsdam, Germany, with large teams in the US, Canada, and Serbia. We are currently undergoing an exciting Al-First transformation and a strategic migration to Kotlin Multiplatform / Compose Multiplatform, enabling us to build once and deploy to both iOS and Android, while maintaining native look and feel on iOS. Role Overview: As an AI-First QA Automation Engineer (Mobile), you will be instrumental in ensuring the quality and reliability of the next generation of mobile applications for restoration professionals working in the field. You will build and maintain comprehensive test automation frameworks using WebdriverIO/Appium for cross-platform mobile testing and Playwright for web testing, working closely with our mobile development team during our greenfield application rewrite. You will be part of an AI-First QA practice that operates as an internal centre of expertise, partnering with teams across the organisation to embed quality throughout the development lifecycle. Rather than sitting within a single squad, you will bring AI-augmented testing capabilities — covering test creation, maintenance, and analysis — to multiple teams, helping them ship with confidence across iOS and Android. You will set the quality bar, define standards, and enable teams to own their own quality outcomes in challenging field conditions. Your responsibilities: Mobile Test Automation — 60% • Design, develop, and maintain automated test suites using WebdriverIO/Appium for iOS and Android applications, • Implement cross-platform test strategies that maximize code reuse while handling platform-specific scenarios, • Create comprehensive test coverage for complex workflows: offline-first functionality, hardware camera integrations, sync mechanisms, and field-specific features, • Develop and maintain CI/CD pipeline integration for automated testing on real devices and emulators/simulators, • Monitor test execution, analyze failures, and maintain test stability, • Drive test automation best practices and quality standards across the team Web Test Automation — 20% • Build and maintain automated test suites using Playwright for web applications, • Ensure consistency between mobile and web experiences through parallel test coverage Quality Advocacy & Collaboration — 20% • Partner with mobile engineers to shift quality left through testable architecture and early bug detection, • Collaborate with product and design teams to define acceptance criteria and test scenarios, • Conduct manual exploratory testing for new features and complex user flows, • Contribute to quality metrics, reporting, and continuous improvement initiatives What you bring: • Experience using AI tools like Cursor, Claude Code, GitHub Copilot to accelerate test development and maintenance, • Comfort with AI-augmented workflows for test case generation, debugging, and code review Hard skills: • 5+ years of experience in mobile QA automation for iOS and Android applications, • Solid experience using Appium for mobile test automation, • Strong expertise with Playwright or other frameworks for web test automation, • Knowledge of JavaScript/TypeScript for test framework development, • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar), • Experience with device farms and cloud testing platforms (BrowserStack, Sauce Labs, AWS Device Farm, or similar) Soft skills: • Strong analytical and problem-solving abilities, • Proactive mindset for identifying quality risks and improvement opportunities, • Detail-oriented with a commitment to quality and user experience, • Eagerness to learn and adapt to the rapidly changing AI landscape, • Collaborative mindset for working in cross-functional teams, • Excellent communication skills in English Nice to have: • Experience testing offline-first applications and sync mechanisms, • Background in testing applications that integrate with external hardware (Bluetooth, WiFi devices), • AR / 3D visualization experience What we offer: • A fully remote job, • Greenfield project (application rewrite) and an opportunity to shape its future from the early days, • Training budget: courses, conferences etc., • Flexible working arrangements including remote work, • Latest MacBook Pro The position will be remote in any location of choice in Europe (outside Russia, Ukraine, and Belarus). Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada. We look forward to receiving your application! Company website: www.docusketch.com www.immoviewer.com

Clutch Canada is seeking a Software Engineer to join the Data side of its AI team.

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