1253 Annotation Jobs - Page 7

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030688

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030701

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030746

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031059

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030728

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030748

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030739

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031060

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030768

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030723

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030725

Job Overview PitchBook’s Product Owner works collaboratively with key Product stakeholders and teams to deliver the department’s product roadmap. This role takes an active part in aligning our engineering activities with Product Objectives across new product capabilties as well as data and scaling improvements to our core technologies, with a focus on AI/ML data extraction, collection, and enrichment capabilities. Team Overview The Data Technology team within PitchBook’s Product organization develops solutions to support and accelerate our data operations processes. This domain impacts core workflows of data capture, ingestion, and hygiene across our core private and public capital markets datasets. This role works on our AI/ML Collections Data Extraction & Enrichment teams, closely integrated with Engineering and Product Management to ensure we are delivering against our Product Roadmap. These teams provide backend AI/ML services that power PitchBook’s data collection activities and related internal conent management systems. Outline Of Duties And Responsibilities Be a domain expert for your product area(s) and understand user workflows and needs Actively define backlog priority for your team(s) in collaboration with Product and Engineering Manage delivery of features according to the Product Roadmap Validate the priority and impact of incoming requirements from Product Management and Engineering Break down prioritized requirements into well-structured backlog items for the engineering team to complete Create user stories and acceptance criteria that indicate successful implementation of requirements Communicate requirements, acceptance criteria, and technical details to stakeholders across multiple PitchBook departments Define, create, and manage metrics that represent team performance Manage, track, and mitigate risks or blockers of Feature delivery Support execution of AI/ML collections work related but not limited to AI/ML data extraction, collection, and enrichment services. Support PitchBook’s values and vision Participate in various company initiatives and projects as requested Experience, Skills And Qualifications Bachelor's degree in Information Systems, Engineering, Data Science, Business Administration, or a related field 3+ years of experience as a Product Manager or Product Owner within AI/ML or enterprise SaaS domains A proven record of shipping high impact data pipeline or data collection-related tools and services Familiarity with AI/ML workflows, especially within model development, data pipelines, or classification systems Experience collaborating with globally distributed product engineering and operations teams across time zones Excellent communication skills to drive clarity and alignment between business stakeholders and technical teams Bias for action and a willingness to roll up your sleeves and do what is necessary to meet team goals Experience translating user-centric requirements and specifications into user stories and tasks Superior attention to detail including the ability to manage multiple projects simultaneously Strong verbal and written communication skills, including strong audience awareness Experience with shared SDLC and workspace tools like JIRA, Confluence, and data reporting platforms Preferred Qualifications Direct experience with applied AI/ML Engineering services. Strong understanding of supervised and unsupervised ML models, including their training data needs and lifecycle impacts Background in fintech supporting content collation, management, and engineering implementation Experience with data quality measurements, annotation systems, knowledge graphs, and ML Model evaluation Exposure to cloud –based ML infrastructure and data pipeline orchestration tools such as AWS SageMaker, GCP Vertex AI, Airflow, and dbt Certifications related to Agile Product Ownership / Product Management such as CSPO, PSPO, POPM are a plus Working Conditions The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. This role collaborates with Seattle and New York-based stakeholders, and typical overlap is between 6:30 – 8:30AM Pacific. Limited corporate travel may be required to remote offices or other business meetings and events. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. 037_PitchBookDataInc PitchBook Data, Inc Legal Entity

Description At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life. We are seeking an experienced team manager to develop and manage our annotation and data analysis operations team. This team plays a critical role in improving Alexa’s natural language understanding (NLU) leading to improved CX quality metrics and positive business impact. The team manager must have a passion for data, efficiency, and accuracy. Key job responsibilities Manage day to day operations with a team of Data Associates, Sr.Associates and Data Specialists Manage work prioritization and delivery based on business needs Ensure high quality delivery under deadlines Plan capacity and commit to volume by managing resources, queue, shift management, cross training, and leave management Track weekly/monthly metrics and process reviews with internal and external stakeholders across time zones. Maximize productivity and process efficiency through process standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis Initiate and lead process improvement projects, presents solution proposals, and implement them to other applicable/in-scope operational areas Own team’s hiring, performance and development through performance metrics, training, feedback and coaching on an ongoing basis Basic Qualifications A Bachelor’s Degree with relevant experience of 6+ years with 2+ years of stakeholder management Excellent English (written & oral), strong organizational skills and detail oriented Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Demonstrated leadership with a bias towards action and ownership Preferred Qualifications Six Sigma/Green Belt Certification Exposure to working with technology teams and solving operational issues Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana - D50 Job ID: A3030462

Role & responsibilities As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities • Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. • May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. • Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. • Maintaining high internal quality of the processes by performing quality audits/verification. • Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. • Track daily task completion status using recommended tools and provide individual status reports. • Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. • Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. • Offering remedial instruction in tool usage and other topics as required. Requirements: • Strong command of the English language, including grammar, syntax, and vocabulary. • Background in linguistics, creative writing, computational linguistics, or a related field is preferred. • Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. • Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required • Flexibility and Interest to do repetitive tasks is required. • High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential • Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. • Passion for language, technology, and AI advancements. • Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. Preferred candidate profile Bachelor's degree (2025 passed out candidate's must have consolidated Mark sheet) Speak, write, and read fluently in English Knowledge of Microsoft Office products and applications Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). Perks and benefits

DESCRIPTION AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. If you love a challenge, have experience leading teams in a fast-paced operational environment, passionate about upskilling and empowering through training, we want you on our team. We need an individual who thrives in a dynamic, fast-paced environment with the capacity and experience to lead a team of training managers in defining the learning strategy and then follow through to deliver impactful business results through implementation and delivery of the training at each site. In addition, this individual will run training programs to continuously improve the training processes and training efficiency. The ideal candidate will have a strong background in training and development, experience with AI or data-driven environments, ability to lead and motivate a diverse team and run programs independently with global stakeholders. Key job responsibilities Team Leadership: o Lead, mentor, and manage a team of trainers responsible for human input and data annotation for AI systems. o Foster a collaborative, inclusive, and high-performance culture within the team. o Conduct regular performance evaluations and provide constructive feedback. Training Curriculum Development: o Design and implement training programs in collaboration with the Learning Experience Design team to improve the quality and efficiency of human input processes. o Develop best practices and standard operating procedures (SOPs) for training activities. o Ensure training programs are aligned with the latest advancements in AI and meet organizational goals and customer needs. Quality Assurance: o Monitor the quality of human input data and annotations to ensure accuracy and consistency of the trained individuals. o Implement quality control measures to reduce errors and optimize data integrity. o Collaborate with AI engineers and data scientists to refine training processes based on feedback and model performance. Process Improvement: o Continuously evaluate and improve training methodologies and processes. o Identify and implement innovative approaches to enhance training effectiveness and efficiency. o Stay updated on industry trends and emerging technologies related to AI training. Stakeholder Collaboration: o Work closely with Operations, workforce management, quality to understand training needs and align them with project objectives. o Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns. o Advocate for the training team’s needs and priorities within the broader organization. BASIC QUALIFICATIONS Education: o Bachelor’s degree in Education, Training, Computer Science, Data Science, Business, or a related field. A Master’s degree is preferred. Experience: o Minimum of 8 years of experience in training, learning and development, or a related field. o Experience in AI, data annotation, or a technology-driven environment is highly desirable. o Proven experience in managing and leading teams. Skills: o Strong understanding of AI, machine learning, and data annotation processes. o Excellent leadership, communication, and interpersonal skills. o Strong analytical and problem-solving abilities. o Proficiency in project management tools and methodologies. o Ability to work in a fast-paced, dynamic environment and manage multiple priorities. PREFERRED QUALIFICATIONS Key Competencies: Leadership and Team Management Quality Assurance and Attention to Detail Process Improvement and Innovation Strong Communication and Collaboration Project Management and Organizational Skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad IND, TN, Chennai Operations, IT, & Support Engineering

We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science and generative AI, including LLMs (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale. Responsibilities: Collaborate with a larger science team to develop innovative science solutions in response to business requirements. Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data. Write high quality code to power experiments and build models. Contribute to writing production model code. Collaborate with data engineers to provide guidelines for data collection and annotation. Collaborate closely with cross-functional teams to deliver solutions into various applications and products. Identify new opportunities for scientific exploration and evaluate emerging technologies. Qualifications and Experience: PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in AI/Generative AI/Machine Learning in an industry setting. Publication record in first-tier journals or conferences. Hands-on experience in generative AI and model/application evaluation. Proficiency in Python, SQL, Spark. Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong communication abilities.

Job Title: Medical Annotation Intern Location : Hyderabad Type : Internship / Full-Time Internship Duration : 6 months Job Type: Onsite Department : Research & Development Industry : Health Tech / Digital Health Salary: ₹5,000 – ₹10,000/month (based on qualifications and Knowledge) About Us: At MHN , we're redefining how individuals engage with their health through research-backed, AI-driven tools. Our mission is to personalize preventive health solutions by combining clinical science, behavioral data, and user-centric design. The Role: We're looking for R&D Interns and Research Associates who are passionate about healthcare innovation. This role is ideal for those with a research-oriented mindset and an interest in bridging the gap between science, data, and digital health technology. Key Responsibilities Health Research & Analysis: Conduct in-depth research on various health parameters and their correlation with lifestyle and behavioral factors, as assigned by management. Stay current with the latest clinical studies, scientific literature, and public health data to support evidence-based development. Insight Generation: Translate complex medical data into clear, actionable insights aimed at improving individual and population health outcomes. Identify trends, risk factors, and preventive strategies based on data analysis and scientific research. Product & Dashboard Integration: Collaborate with the tech and product teams to integrate research findings into MHN’s health templates, AI dashboards, and personalized user interfaces. Ensure all outputs reflect clinical accuracy, relevance, and user applicability. Cross-Functional Collaboration: Work closely with multidisciplinary teams—including the development, product, and design teams—to drive research-backed innovation. Actively contribute to brainstorming sessions, rapid prototyping, and the validation of health solutions to ensure scientific integrity and user-centric design. Team Building & Leadership: Contribute to the foundation of MHN’s R&D division by developing research strategies, creating knowledge repositories, and documenting best practices. Required: Bachelor's or Master's degree in Public Health , Life Sciences , Biomedical Sciences , Medicine , Psychology , or related fields. Strong critical thinking and research synthesis skills. Excellent written and verbal communication, especially simplifying complex ideas. Good to Have: Prior internship or coursework in public health, health tech, or clinical research. Familiarity with data interpretation or tools like Excel, PubMed, or public health dashboards. Interest in digital health, AI, or behavior change science. What We Offer Direct impact on health outcomes through technology. Mentorship from cross-functional teams (product, research, clinical). Fast-paced, learning-focused environment. Flexible work arrangements. Opportunity to transition from intern to full-time (if applicable). After completing the Internship, for Full-Time the CTC will be ₹1.5 LPA – ₹3 LPA Job Types: Full-time, Fresher Pay: ₹100,000.00 - ₹200,000.00 per year Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Operations, IT, & Support Engineering

We are seeking a detail-oriented data annotator to join the Oracle Analytics team. As a member of our data operations team you will be responsible for creating and annotating natural language and structured data to facilitate the development of new AI solutions for Oracle's Analytics product portfolio. You will work with applied science and data science teams to design and evaluate new AI capabilities, test systems ahead of deployment, and support customers with implementing and customizing AI solutions for industry verticals or specific use cases. The ideal candidate will have in-depth familiarity with Oracle's analytics products (Fusion Data Intelligence, Oracle Analytics Cloud), SQL, Python, and data visualization, as well as experience in subject matter areas related to ERP, Finance, Supply Chain Management, or Human Capital Management. Knowledge of data collection management practices, quality control processes is a strong plus. Key Responsibilities: Collaborate with applied scientists and product managers to gather data requirements. Help develop and improve data annotation guidelines and quality control mechanisms. Produce and deliver data meeting predefined quality targets and timelines. Help test and evaluate AI solutions. Partner with customers and solution architects to improve usability of AI products. Required Qualifications: Bachelor's degree in Business Administration, Information Systems, Data Science, Linguistics, or a related field. 2-3 years of industry experience in data operations, data annotation, business analytics, or a related role. Experience with Oracle Analytics tools and dashboards, SQL, and general task management tools (e.g., Jira). Excellent communication and collaboration abilities. Attention to detail, sense of ownership, and customer-focused mindset. Software engineering skills (SQL, Python). Preferred Qualifications: Knowledge of machine learning concepts and how annotated data supports model development. Previous experience with large-scale data collection/annotation and data quality control processes.

DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Previous experience leading teams that provide annotations for AI/ML Previous experience of working in ACES/Training/ICQA in Amazon Fulfillment Centers Previos experience leading Quality Assurance teams Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, DL, Virtual Corporate Operations

Job Description: Head - Technical Training (Lidar/ADAS) preferred, not mandatory Location: Kolkata Company Overview : We are a rapidly expanding technology-driven services firm specializing in the meticulous annotation of ground truth training data across diverse datasets, including image, video, LiDAR, text, audio, and multi-modal formats. Our mission centers around providing top- tier trainingdata essential for advancingstate-of-the-art AI and machine learning models. These models find applications in an array of industries, ranging from Autonomous Mobility and Healthcare to Geo-Spatial, Agri Tech, and Finance. Of particular emphasisin our endeavors is the burgeoning field of Generative AI. To fortify our trajectory of growth, we are actively seeking an adept and seasoned Training Department Head. In this pivotal role, you will be instrumental in steering our training department, ensuring proficiency in our Lead to Cash process, through the creation and sustenance of an expert workforce at all levels within the organization. Job Description : We are looking for a dynamic and visionary Training Department Head to build and lead a team of trainers and training managers. In this role, you will be responsible for overseeing the end-to-end training process, from production data analysis to training need identification, content creation, train the trainers, training delivery, and training efficacy measurement and reporting. Your expertise in training and development, along with your leadership skills, will be vital in ensuring the success of our training programs. This position reports to the Chief Delivery Officer. Responsibilities: Develop and implement a comprehensive training strategy aligned with the company's goals and objectives. Lead a team of trainers and training managers, providing guidance, mentorship, and support in all aspects of training and development. Conduct thorough analysis of production data to identify training needs and areas for improvement. Collaborate with cross-functional teams in US, India and Bhutan to understand business requirements and translate them into effective training programs. Oversee the creation and maintenance of training materials, including curriculum, presentations, job aids, and other resources. Design and deliver train-the-trainer programs to ensure consistency and qualityin training delivery. Monitor and evaluate training effectiveness using appropriate metrics and assessment tools. Continuously improve training programs based on feedback, industry best practices, and emerging technologies. Stay updated with the latest trends and advancements in AI/ML algorithms and training methodologies. Qualifications: Bachelor's degree in a relevant field (e.g., Education, Instructional Design, Computer Science); a master's degree is a plus. Proven experience (15+ years) in training and development, preferably in a technology- focused company. Strong knowledge of AI/ML algorithms and their applications. Demonstrated experience in building and leading high-performing training teams. Experience in analyzing production data and identifying training needs. Proficient in instructional design methodologies and adult learning principles. Excellent presentation and communication skills, with the ability to engage and inspire learners. Familiarity with training evaluation methods and measurement tools. Strong project management and organizational skills, with the ability to handle multiple priorities and meet deadlines. Self-motivated, proactive, and results-oriented mindset. Ability to adapt to a fast-paced and rapidly changing environment.

Job Title: Deputy Manager – Training Location: Hyderabad, Telangana, India Experience Required: 6–8 years About the Role: We are looking for an experienced and dynamic Deputy Manager – Training to lead and manage the training function for a high-impact operations team. This role is critical in ensuring that team members are equipped with the knowledge, skills, and tools needed to perform effectively. The ideal candidate will be responsible for managing the full training lifecycle from identifying needs and developing content to delivery, performance evaluation, and continuous improvement. Key Responsibilities: Training Strategy & Planning: Design and implement training strategies aligned with business goals, including needs assessments, training calendars, and learning objectives. Content Development: Lead the creation and maintenance of effective training materials (manuals, e-learning modules, presentations, job aids, etc.) ensuring consistency and relevance. Training Delivery: Manage and facilitate onboarding, process-specific training, upskilling, and refresher programs using blended learning approaches. Trainer Management & Development: Lead and mentor a team of trainers; support their development through coaching, feedback, and performance management. Stakeholder Collaboration: Work closely with operations, quality, and other internal stakeholders to identify training needs and align expectations. Training Evaluation & Reporting: Define metrics to measure training effectiveness, analyze outcomes, and refine training programs based on insights. Process Improvement: Continuously assess and enhance training methodologies, processes, and tools to maximize efficiency and impact. LMS Administration: Oversee the usage of Learning Management Systems for tracking, scheduling, and managing content. Compliance: Ensure all training activities comply with internal policies, quality standards, and regulatory requirements. Qualifications: Bachelor’s degree in any relevant discipline. 6–8 years of progressive experience in training & development, preferably within a BPO/KPO or technology-enabled operations environment. Strong background in managing the end-to-end training lifecycle. Excellent facilitation and presentation skills. Expertise in instructional design and content creation. Proven leadership and people management skills. Strong stakeholder management and communication skills. Analytical mindset with ability to assess and report on training effectiveness. Familiarity with Learning Management Systems (LMS). Preferred Skills: Certification in Training and Development (e.g., CPTD). Experience with tools like Articulate Storyline, Adobe Captivate, or similar. Ability to analyze data and prepare detailed training reports. Exposure to projects involving mapping, annotation, or autonomous vehicle processes will be an advantage.

Job Title: AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 1- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

We're Hiring: Python Code Reviewer (Remote | ₹35K–40K/month) Role : Python Code Reviewer Type : Part-Time (3 Months) Location : Remote Timings : Flexible (based on workload) Notice Period : Immediate Joiners Only Pay : ₹35,000 – ₹40,000 per month Start Date : Within 2–3 days About the Role : We're looking for an experienced Python Developer to join as a Code Reviewer for a high-impact AI project. You'll evaluate assessments made by data annotators on AI-generated Python code — ensuring high-quality standards, correctness, and adherence to given instructions. Responsibilities Review annotations on Python code for correctness, instruction-following, and edge cases Provide constructive feedback to annotators Run and validate code using test environments (proof-of-work approach) Ensure evaluation consistency as per Project Atlas guidelines Requirements 4–5 years of solid experience in Python development or QA Mandatory: Basic Docker proficiency Experience with code testing/debugging Strong written communication English proficiency (B2+) Bonus Skills Familiarity with AI training / LLM evaluation / RLHF Experience with annotation platforms Skills in Angular, TypeScript, or JavaScript Interview Process Round 1: Python Code Review Round 2: Technical Assessment (Client-led) 📩 Interested? Send us your CV with the subject "Python Code Reviewer " DM directly here on LinkedIn. Note : This is a fast-moving project. Profiles will be reviewed on a rolling basis.

Description Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About The Team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. Basic Qualifications MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations Preferred Qualifications Previous experience leading teams that provide annotations for AI/ML Previous experience of working in ACES/Training/ICQA in Amazon Fulfillment Centers Previos experience leading Quality Assurance teams Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A2962744