191 Markdown Jobs - Page 6

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973293 Show more Show less

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973271 Show more Show less

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973312 Show more Show less

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973273 Show more Show less

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973306 Show more Show less

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. 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+ years 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 (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973315 Show more Show less

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 (C2 level in the Common European Framework CEFR scale). 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 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: A2973334 Show more Show less

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 (C2 level in the Common European Framework CEFR scale). 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 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: A2973329 Show more Show less

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 (C2 level in the Common European Framework CEFR scale). 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 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: A2973295 Show more Show less

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 (C2 level in the Common European Framework CEFR scale). 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 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: A2973285 Show more Show less

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 (C2 level in the Common European Framework CEFR scale). 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 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: A2973288 Show more Show less

Role: Quantitative Backtester Experience: 5+ Years Shift: Part-time, flexible hours. Remote: Anywhere in India About the Role: We are seeking a part-time Quantitative Backtester with experience in developing and evaluating trading strategies. You will play a pivotal role in designing, implementing, and testing trading strategies, including the creation of automated trading bots and integration with Interactive Brokers (IBKR) for execution. Responsibilities: ● Develop, backtest, and optimize quantitative trading strategies. ● Build and manage automated trading bots. ● Implement real-time trading connections with Interactive Brokers (IBKR). ● Analyze and evaluate strategy performance using key metrics such as Sharpe Ratio, Sortino Ratio… Required Skills: ● Proficiency in Python, especially with libraries such as TA-Lib, NumPy, Pandas. ● AI/ML application to determine the high confidence trades ● Train LLM and implement alert for initiating trades and exiting during back test and live trading ● Strong understanding of stocks and options. ● Atleast 5 years of experience in trading platforms and backend testing Additional Nice-to-Haves: ● Experience in low-latency trading system design and optimization. ● Clear documentation skills, familiarity with tools like Sphinx or Markdown. ● Proficiency with Git and version control workflows. Schedule: ● Part-time, flexible hours. ● Expect to get the work done per their schedule, moonlightling allowed Location: ● Remote (anywhere in India) ● Should be able to coordinate with US clients during off peak hours. Industry Information Services Employment Type Part-time Please share resume at njoshi@cloudely.com Show more Show less

Company Description : CyberMind Works partners with businesses to provide technology solutions from ideation and design to full product development and scaling up. We work on challenging projects ranging from real-time apps to high scale applications (millions of records processing) Role Description : We are looking for a creative and technically-inclined Content Writer to join our team in Chennai. In this role, you will create high-quality content that communicates our technical expertise, showcases our products and projects, and engages our audience through blogs, documentation, case studies, and web content. You’ll work closely with our developers, product teams, and marketing leads to transform complex technical topics into clear, engaging, and accessible content. A passion for technology and an ability to translate it into compelling narratives is a must. Key Responsibilities : Write, edit, and publish blog posts on software engineering, cloud architecture, backend technologies (e.g., Node.js, Kubernetes, AWS), and product development. Collaborate with developers and product teams to generate accurate technical content and documentation. Create content for the company website, case studies, project showcases, and social media. Assist in developing and maintaining a consistent content strategy aligned with Cybermind Works' brand voice and goals. Conduct interviews, research industry trends, and keep up with the latest in tech to inform your writing. Qualifications: Proven experience in content writing, especially in the technology domain. Strong writing, editing, and proofreading skills with a portfolio of published technical articles or blogs. Basic understanding of backend technologies like Node.js, RESTful APIs, SQL/NoSQL, cloud platforms (AWS), and other modern development tools is a plus. Familiarity with Agile software development and DevOps practices. Excellent communication and collaboration skills. Bachelor’s degree in English, Communications, Computer Science, or related field (or equivalent work experience). Good to Have : Experience with SEO writing practices. Experience working with developers or a technical team. Knowledge of Markdown, Git, or writing technical documentation. Show more Show less

About lululemon: lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance. About this team: As a Merch analyst, your primary responsibility is to monitor and optimize inventory levels to ensure efficient operations. You will analyze inventory & sales data, forecast demand, sizing and pricing data and implement strategies to minimize stockouts and excess inventory. Additionally, you will collaborate with cross functional teams to improve inventory management process. A Day in the Life: Collaborate with buyers/planners and merchandising team to execute Pricing Strategies & Price Management & Price Event updates, Markdown by leveraging the appropriate tools. Conduct pricing analysis to identify opportunities for price optimization and markdowns. Analyze inventory sell-through percentages and weeks of supply to determine optimal replenishment quantities. Identify slow-moving or overstocked sizes and make recommendations for clearing inventories through markdowns. Utilize historical sales data, market trends, and seasonality to forecast future demand for merchandise categories. Analyze demand patterns, seasonality, and sales trends to adjust inventory planning strategies. Monitor inventory levels, identifying discrepancies and taking corrective actions to maintain accuracy. Analyze historical sizing data, including sales by size, and returns/exchange, to identify trends and patterns. Make recommendations for size range expansions, size ratio adjustments. Document and streamline execution processes, identify the opportunities for process improvements, and automate end-to-end processes. Develop and automate reports, dashboards, and data visualizations to facilitate decision-making and improve efficiency. Continuously identify opportunities to streamline and automate merchandising analytics processes. Enhance reporting efficiency and accuracy while maintaining data integrity and consistency. Overall, the job involves a combination of analytical, strategic, and operational responsibilities aimed at optimizing pricing, inventory management, demand forecasting, and sizing analysis processes to drive business success. Core competencies and Accomplishments: 4 -7 years of experience in Retail merch operations - planning and allocation, merchandising planning, inventory management, sizing, and forecasting Communicating with various levels of management including planning and Buying managers Critical thinking, problem solving & decision making. Business planning, Allocation planning, Buying, Merchandising, Inventory control knowledge Experience in Excel coding (Macros)and Power-bi analytical tools . Must haves: Possesses an entrepreneurial spirit and continuously innovates to achieve great results. Communicates with honesty and kindness and creates the space for others to do the same. Leads with courage, knowing the possibility of greatness is bigger than the fear of failure. Fosters connection by putting people first and building trusting relationships. Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously. Show more Show less

About lululemon: lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance. About this team: As a Merch analyst, your primary responsibility is to monitor and optimize inventory levels to ensure efficient operations. You will analyze inventory & sales data, forecast demand, sizing and pricing data and implement strategies to minimize stockouts and excess inventory. Additionally, you will collaborate with cross functional teams to improve inventory management process. A Day in the Life: Collaborate with buyers/planners and merchandising team to execute Pricing Strategies & Price Management & Price Event updates, Markdown by leveraging the appropriate tools. Conduct pricing analysis to identify opportunities for price optimization and markdowns. Analyze inventory sell-through percentages and weeks of supply to determine optimal replenishment quantities. Identify slow-moving or overstocked sizes and make recommendations for clearing inventories through markdowns. Utilize historical sales data, market trends, and seasonality to forecast future demand for merchandise categories. Analyze demand patterns, seasonality, and sales trends to adjust inventory planning strategies. Monitor inventory levels, identifying discrepancies and taking corrective actions to maintain accuracy. Analyze historical sizing data, including sales by size, and returns/exchange, to identify trends and patterns. Make recommendations for size range expansions, size ratio adjustments. Document and streamline execution processes, identify the opportunities for process improvements, and automate end-to-end processes. Develop and automate reports, dashboards, and data visualizations to facilitate decision-making and improve efficiency. Continuously identify opportunities to streamline and automate merchandising analytics processes. Enhance reporting efficiency and accuracy while maintaining data integrity and consistency. Overall, the job involves a combination of analytical, strategic, and operational responsibilities aimed at optimizing pricing, inventory management, demand forecasting, and sizing analysis processes to drive business success. Core competencies and Accomplishments: 4 -7 years of experience in Retail merch operations - planning and allocation, merchandising planning, inventory management, sizing, and forecasting Communicating with various levels of management including planning and Buying managers Critical thinking, problem solving & decision making. Business planning, Allocation planning, Buying, Merchandising, Inventory control knowledge Experience in Excel coding (Macros)and Power-bi analytical tools . Must haves: Possesses an entrepreneurial spirit and continuously innovates to achieve great results. Communicates with honesty and kindness and creates the space for others to do the same. Leads with courage, knowing the possibility of greatness is bigger than the fear of failure. Fosters connection by putting people first and building trusting relationships. Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously. Show more Show less

Position: Python Intern specializing in AI Location : Bhopal, Madhya Pradesh (Work from Office) Duration: 3 to 6 Months ✅ Must-Have Skills Core Python Programming: Functions, loops, list comprehensions, classes Error handling (try-except), logging File I/O operations, working with JSON/CSV Python Libraries for AI/ML: numpy, pandas – Data manipulation & analysis matplotlib, seaborn – Data visualization scikit-learn – Classical machine learning models Basic familiarity with tensorflow or pytorch Working knowledge of Openai / Transformers (bonus) AI/ML Fundamentals: Supervised and unsupervised learning (e.g., regression, classification, clustering) Concepts of overfitting, underfitting, and bias-variance tradeoff Train-test split, cross-validation Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix Data Preprocessing: Handling missing data, outliers Data normalization, encoding techniques Feature selection & dimensionality reduction (e.g., PCA) Jupyter Notebook Proficiency: Writing clean, well-documented notebooks Using markdown for explanations and visualizing outputs Version Control: Git basics (clone, commit, push, pull) Using GitHub/GitLab for code collaboration ✅ Good-to-Have Skills Deep Learning: Basic understanding of CNNs, RNNs, transformers Familiarity with keras or torch.nn for model building Generative AI: Prompt engineering, working with LLM APIs like OpenAI or Hugging Face Experience with vector databases (Qdrant, FAISS) NLP: Tokenization, stemming, lemmatization TF-IDF, Word2Vec, BERT basics Projects in sentiment analysis or text classification Tools & Platforms: VS Code, JupyterLab Google Colab / Kaggle Docker (basic understanding) Math for AI: Linear algebra, probability & statistics Basic understanding of gradients and calculus ✅ Soft Skills & Project Experience Participation in mini-projects (e.g., spam detector, digit recognizer) Kaggle competition experience Ability to clearly explain model outputs and results Documenting findings and creating simple dashboards or reports. Job Types: Full-time, Internship Pay: From ₹5,000.00 per month Schedule: Day shift Work Location: In person

About TwoSD (2SD Technologies Limited) TwoSD is the innovation engine of 2SD Technologies Limited , a global leader in product engineering, platform development, and advanced IT solutions. Backed by two decades of leadership in technology, our team brings together strategy, design, and data to craft transformative solutions for global clients. Our culture is built around cultivating talent, curiosity, and collaboration. Whether you're a career technologist, a self-taught coder, or a domain expert with a passion for real-world impact, TwoSD is where your journey accelerates. Join us and thrive. At 2SD Technologies, we push past the expected—with insight, integrity, and a passion for making things better. Role Overview We are hiring a Technical Writer to produce high-quality documentation that makes our products easy to understand and adopt by developers, end-users, and enterprise clients. This is a full-time role based in Gurugram, India , ideal for candidates who enjoy translating complex technical concepts into elegant, usable content. You’ll work closely with engineering, product, design, and DevOps teams to document APIs, architecture, product features, AI capabilities, and platform workflows. Key Responsibilities Create and maintain developer documentation , API references , integration guides , and release notes Document platform features , user journeys , and AI-enabled workflows in a structured, engaging manner Standardize and maintain internal documentation libraries (Confluence, Notion, or Markdown repos) Work with UX teams to design help content, onboarding tutorials, and in-app documentation Translate requirements from architects, engineers, and product managers into user-facing documentation Establish content strategy, style guides, and documentation standards across teams Support compliance teams by documenting security and data governance policies when needed Required Qualifications Bachelor’s degree in English, Journalism, Computer Science, or related field 3+ years of experience in technical writing for software, SaaS, or developer tools Experience creating technical documentation for REST APIs , SDKs , and integration workflows Strong command of Markdown , HTML/CSS , and basic knowledge of version control (Git) Excellent collaboration and communication skills with technical and non-technical stakeholders Preferred Qualifications Experience writing for AI/ML platforms , SaaS products , or enterprise dashboards Familiarity with OpenAPI/Swagger , Postman , or API Blueprint Knowledge of software development lifecycle (SDLC) and Agile methodologies Understanding of information architecture , accessibility, and user-focused content design Experience using tools like Docusaurus , ReadMe , Slate , or Sphinx Core Competencies Technical Accuracy and Clarity User-Centered Content Design Documentation Architecture & Organization Detail-Oriented Research & Content Structuring Cross-Team Collaboration & Editorial Feedback Tools & Platforms Documentation Tools: Markdown, Confluence, Notion, GitBook, Docusaurus API Docs: Swagger / OpenAPI, Postman, Stoplight Version Control: Git, GitHub, GitLab Publishing & Build Tools: Sphinx, MkDocs, Pandoc Design & Review: Figma (read-only for handoff), Grammarly, Hemingway Project Management: Jira, Slack, ClickUp, Trello Why Join TwoSD? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters, your expertise is valued, and your growth is supported by a collaborative culture that blends mentorship with autonomy. With access to cutting-edge tools, meaningful projects, and a global knowledge network, you’ll do work that counts—and evolve with every challenge. Technical Writer – SaaS & AI Platforms Position: Technical Writer – SaaS & AI Platforms Location: Gurugram, India (Onsite/Hybrid) Company: TwoSD (2SD Technologies Limited) Industry: SaaS / Enterprise Software / AI Products Employment Type: Permanent Date Posted: 26 May 2025 How to Apply To apply, send your resume and documentation samples or portfolio to hr@2sdtechnologies.com or visit our LinkedIn careers page. Show more Show less

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). technical writing . Key Responsibilities Design, write, and update a wide range of technical documentation, including technical specifications, SDK guides, integration guides, internal engineering runbooks, architectural overviews of systems, API documentation, release notes, and FAQs. Work with engineering teams to understand the prod ucts/ tools/ platforms, gather information regarding architecture, workflows, and data flow and deliver top-notch technical documents with example code snippets & videos. Translate complex technical concepts into clear, concise and accurate documents for internal teams. Identify gaps in existing documentation and proactively work to fill them. Maintain a consistent writing style, tone, and brand voice across all documentation, adhering to established style guides. Implement and manage documentation version control and content lifecycles in a CI/CD environment. Ensure documentation is consistent, searchable, and aligned with internal knowledge-sharing standards. Provide expert feedback to engineers on clarity, usability, and discoverability of technical interfaces, and API designs, from a documentation and user experience perspective. Work with SMEs to co-author/contribute to technical blogs. Stay current with platform changes and updates, ensuring documentation evolves alongside the technology. Lead the adoption of advanced AI technologies within the technical documentation function by exploring and implementing AI tools and practices to improve documentation efficiency and quality. Collaborate closely with platform, tooling and UX teams to improve search algorithms, filtering capabilities, and overall user experience within documentation portals, exploring AI for semantic search. Optimize content for internal search and knowledge base platforms, ensuring highly relevant information is easily discoverable for both internal teams and external partners using AI. Develop and manage a comprehensive taxonomy and tagging system for documentation, ensuring consistency across all content, including nuanced AI/ML terminology. Implement a system for tracking documentation accuracy, recency, and compliance, leveraging automated checks, dashboards, and audit trails where feasible. Qualifications Required: Bachelor’s degree in Computer Science, Engineering, or a related technical field. Proven experience as a strong technical writer in a software or platform engineering environment. Exceptional written and verbal communication skills, with a keen eye for detail, accuracy, and a passion for simplifying complex technical concepts. Strong analytical skills and the ability to gather information from diverse and highly technical sources. Strong understanding of system architecture, APIs, and data flow concepts. Ability to work independently and manage multiple projects simultaneously. Certifications in Cloud Platforms, or Technical Communication. Preferred Hands-on experience with tools like Markdown, Confluence, Git, or other documentation platforms. Experience with platform or infrastructure-level documentation. Familiarity with software development life cycles and DevOps practices. Attitude and enthusiasm to experiment with AI and emerging technologies, to bring the latest & greatest in the field of technical writing. Experience generating technical documents, presentations, videos etc. using AI-assisted writing or content generation tools is a plus. Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role This is a freelance role for a project, and your typical tasks may include: Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks Write and optimize Python scripts for data analysis, automation, and verification Work with large datasets efficiently, ensuring data is clean and well-structured Utilize various LLMs to generate advanced prompts and improve AI output quality Format outputs in required structures such as Markdown, JSON, tables, etc Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You hold a Master's or Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related technical fields. You have a strong technical background and hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving You possess data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency You are proficient in working with large datasets and integrating data from multiple sources You are able to develop, test, and optimize AI-driven workflows and tools Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role This is a freelance role for a project, and your typical tasks may include: Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks Write and optimize Python scripts for data analysis, automation, and verification Work with large datasets efficiently, ensuring data is clean and well-structured Utilize various LLMs to generate advanced prompts and improve AI output quality Format outputs in required structures such as Markdown, JSON, tables, etc Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You hold a Master's or Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related technical fields. You have a strong technical background and hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving You possess data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency You are proficient in working with large datasets and integrating data from multiple sources You are able to develop, test, and optimize AI-driven workflows and tools Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

Buyer is to be responsible for all issues related to buying merchandise and coordinating with vendors for the designated departments. It involves focusing on finding the best resources at the best prices to ensure that product is higher in quality &cost effective for their respective brands. Key deliverables for the position are as following: To contribute to the development of the divisional Buying and Merchandising strategy and to work within this strategy at all times. To work with merchandising team to ensure that all deliveries satisfy the assigned purchase orders. Identify possible future product offerings by conducting thorough research about what customers are looking for next and the technological trends that are coming up. Plan pricing strategies on various product lines with the marketing department and management and aim to reach an agreement with suppliers that allow for optimal pricing. Developing and sourcing the right product at the right time to meet customer requirements Maximizing current sourcing channels and identifying new opportunities Supporting negotiations and working with supply base to ensure that best costs and margins are achieved Working closely with Designers on developing styles; design research trips, fabric & print advice and informing best sellers for move-on styles. Working closely with Merchandising; management of stock, style options, quantities, promotions and markdowns. Keeping a track of Competitor’s activities through market research activities to track understand trends, forecasting, in terms of color, fabric etc Product presentation, packaging and Product development and develop promotional plans Review and adjust the season plans and weekly plans Product presentation, packaging and Product development and develop promotional plans Vendor identification and development Obtaining Range merchandise after effective negotiation To work with Marketing and Design to develop Visual Merchandising promotions in line with theme and product launches Ensures timely delivery of samples by vendors Setting of standards for quality of merchandise with QA Reconcile to store plans and fix departmental financial plans Supporting negotiations and working with supply base to ensure that best costs and margins are achieved Working closely with Merchandising; management of stock, style options, quantities, promotions and markdowns. To conduct the annual review of supplier performance with QA. To pursue and recover all money due from vendors as a result of performance penalties or markdown and promotional contributions. To regularly update the front-end on key product benefits Qualifications and Education Requirements Graduate/Diploma in design/apparel merchandising, NIFT (GMT/FD/Textile /KDT/D&D), Pearl academy (IFTP) Show more Show less

The impact that you will be making The role would require you to develop sophisticated products that add value to the client and result in new projects and revenue streams. What this role entail Design, develop, and optimize SQL databases, tables, views, and stored procedures to meet business requirements and performance goals. Write efficient and high-performing SQL queries to retrieve, manipulate, and analyze data. Ensure data integrity, accuracy, and security through regular monitoring, backups, and data cleansing activities. Identify and resolve database performance bottlenecks, optimizing queries and database configurations. Investigate and resolve database-related issues, including errors, connectivity problems, and data inconsistencies. Collaborate with cross-functional teams, including Data Analysts, Software Developers, and Business Analysts, to support data-driven decision-making. Maintain comprehensive documentation of database schemas, processes, and procedures. Implement and maintain security measures to protect sensitive data and ensure compliance with data protection regulations. Assist in planning and executing database upgrades and migrations. What lands you in the role 1- 3 years of relevant work experience as a SQL Developer or in a similar role. Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proficiency in SQL, including T-SQL for Microsoft SQL Server or PL/SQL for Oracle. Strong knowledge of database design principles, normalization, and indexing. Experience with database performance tuning and optimization techniques. Familiarity with data modeling tools and techniques. Understanding of data warehousing concepts is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Ability to work independently and manage multiple tasks simultaneously. Certifications in database management (e.g., Microsoft Certified: Azure Database Administrator Associate) is a plus. What we offer An opportunity to be part of some of the best enterprise SaaS products to be built out of India. Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions. A flat, collegial work environment, with a work hard, play hard attitude. A platform for rapid growth if you are willing to try new things without fear of failure. Remuneration with best-in-class industry standards with generous health insurance cover About Impact Analytics Impact Analytics™ ( Series D Funded ) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention . Here’s a link to our website: www.impactanalytics.co . Some of our accolades include: Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024. Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024. Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report. Ranked #72 in America’s Most Innovative Companies list in 2023 —by Fortune —alongside companies like Microsoft, Tesla, Apple, IBM, etc. Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools. Recognized in multiple Gartner reports , including Market Guides and Hype Cycle , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth. Experience- 3- 7 years Responsibilities Content Creation: Develop, write, and maintain high-quality documentation, including user guides, API documentation, FAQs, and knowledge base articles for SaaS, Cloud, and AI/ML platforms. Technical Understanding: Demonstrate strong knowledge of SaaS architecture, cloud technologies (AWS, Azure, GCP), and AI/ML concepts, including model training, deployment, and integration. Collaboration: Work closely with cross-functional teams, including developers, product managers, and data scientists, to gather technical information and transform it into user-friendly content. API Documentation: Write and edit API documentation with a focus on RESTful APIs, SDKs, and integration workflows to guide developers effectively. Version Control and Tools: Utilize tools like Git, Markdown, and documentation platforms like Confluence, ReadTheDocs, or similar to maintain version-controlled and up-to-date content. Editing and Review: Proofread and edit technical content to ensure clarity, consistency, and adherence to style guides, including those for international audiences. User-Centric Writing: Develop content tailored to various user personas, including technical developers, business users, and system administrators. Learning and Development: Stay updated on the latest SaaS, Cloud, and AI/ML trends to incorporate relevant, cutting-edge insights into documentation. Graphic Representation: Create visual aids, such as diagrams, flowcharts, and illustrations, to simplify complex concepts and enhance user comprehension. SEO and Accessibility: Optimize content for search engines and ensure compliance with accessibility standards like WCAG to enhance usability and reach. Qualifications 1. Good verbal and written communication skills. 2. Good Research skills and ability to articulate that knowledge in the writing. 3. A good knowledge on features and components of business applications like CMS, CRM, OMS etc., 4. At Least for the prop-shop requirements, we need someone who has experience in writing for sales deals. 5. The same industry experience is preferable. Show more Show less

Ciena is committed to our people-first philosophy. Our teams enjoy a culture focused on prioritizing a personalized and flexible work environment that empowers an individual’s passions, growth, wellbeing and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. What will you do at Ciena? Blue Planet Senior Technical Writer Ciena is looking for an skilled, highly motivated senior technical writer. We’re looking for a problem solver with excellent language skills who will write easy-to-understand technical guides and online help. You’ll also create deployment guides, upgrade guides, configuration guides, and other user assistance to help our customers use our products. Responsibilities Develop high-quality technical documentation like user guides, Upgrade guides, Deployment guides, online help, FAQs, release notes, etc. Ability to plan, schedule, and be flexible while meeting tight deadlines Review, revise, and maintain all existing documentation for accuracy and consistency. Translate complex technical concepts into clear, concise, and user-friendly content. Manage updates and revisions to technical literature. Ensure the content meets the company's style guidelines and adheres to best practices. Create visual aids like diagrams, charts, and graphs to enhance understanding. Collaboration with stakeholders Collaborate with developers and customers to identify and close gaps in documentation. Participate in our learning community, recognize trends and topics of interest, and create content that meets the needs of our customers. Nice To Have Familiarity and comfort with Git, Markdown, and other documentation tools Knowledge of Kubernetes documentation Areas of impact You’ll be integral to the success of our customers. Qualifications Bachelor's degree in Technical Writing, Computer Science, or a related field. Proven experience as a Technical Writer in the software industry. Excellent written and verbal communication skills. Strong ability to understand and translate complex technical concepts. Proficiency in technical writing tools and software. Familiarity with software development processes and methodologies. Attention to detail and excellent problem-solving skills. Ability to work independently and as part of a team. Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require. Show more Show less

About Us All people need connectivity. The Rakuten Group is reinventing telecom by greatly reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. The mission is to connect everybody and enable all to be. Rakuten. Telecom Invented. Job Description Job Description: Technical Writer Rakuten Symphony is seeking an experienced Technical Writer to join our dynamic telecom startup. As a Technical Writer, you will create high-quality documentation and content for Rakuten Symphony products. Responsibilities Write and maintain comprehensive product documentation (user guides, manuals, release notes, API documentation, and FAQs). Document CLI, UI, and API documentation in RST and Markdown. Develop modular documentation and work on multiple projects parallelly. Ensure consistent use of terminology, style, and formatting across all documents. Review and edit existing documentation for accuracy, clarity, and completeness, and update as necessary to reflect product enhancements and changes. Work with development engineers, QA engineers, and subject matter experts to gather information and validate the technical accuracy of documentation. Research and analyze to understand complex technical concepts and present them in a simplified and accessible manner. Write clear, concise, and user-friendly content that meets the needs of various audiences, including end-users, developers, and administrators. Qualification/Skills Bachelor's degree in English, Computer Science, or a certification in Technical writing. Minimum of 3 to 5 years of experience working as a Technical Writer, preferably in a startup environment. Knowledge of technical writing principles, standards, and best practices. Good written and verbal communication skills, with the ability to explain complex technical concepts in a clear and concise manner. Proficiency in documenting in RST and Markdown. Knowledge of markup languages, such as XML and DITA. Experience with version control systems like Git. Knowledge of software development processes. Ability to work independently, manage multiple priorities, and meet deadlines in a fast[1]paced, dynamic startup environment. Skill to collaborate effectively with cross-functional teams and stakeholders. Basic knowledge of data storage, Kubernetes, networking, and APIs Job Requirement Show more Show less