42 Data Associate Jobs

As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. Youll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. Youll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, youll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. Youll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. Youll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. Youll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and youll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders Proficient with technical expertise such as MS-Excel

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AIs Experience in content or editorial writing

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AIs Experience in content or editorial writing

Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job Summary As a Client Data Associate within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Act independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team. Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job Summary As a Client Data Associate within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Act independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team.

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 AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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. 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 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

AI is the most transformational technology of our time, capable of tackling some of humanity s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don t think out of the box, but make the box they are in Bigger . The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazons commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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. An Associate s Degree or related work experience Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Bachelor s degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AIs Experience in content or editorial writing

AI is the most transformational technology of our time, capable of tackling some of humanity s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don t think out of the box, but make the box they are in Bigger . The future is now, do you want to be a part of it? Then read on! Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazons commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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. An Associate s Degree or related work experience Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Bachelor s degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AIs Experience in content or editorial writing

AI is the most transformational technology of our time, capable of tackling some of humanity s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don t think out of the box, but make the box they are in Bigger . The future is now, do you want to be a part of it? Then read on! Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazons commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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 we'll 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. An Associate s Degree or related work experience Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents bachelors degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt we'll to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

AI is the most transformational technology of our time, capable of tackling some of humanity s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don t think out of the box, but make the box they are in Bigger . The future is now, do you want to be a part of it? Then read on! Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazons commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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 we'll 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. An Associate s Degree or related work experience Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents bachelors degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt we'll to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

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 AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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. 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 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

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 AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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. 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 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

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 AGIs Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role 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. 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 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

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 AGIs Large Language Models (LLMs) capabilities. 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. 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 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

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 AGIs Large Language Models (LLMs) capabilities. Note: This a fixed term contractual role 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. 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 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. Comfortable with high-school level STEM* Experience with creating complex data for LLM training and evaluation 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

AI is the most transformational technology of our time, capable of tackling some of humanity s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don t think out of the box, but make the box they are in Bigger . The future is now, do you want to be a part of it? Then read on! Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazons commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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. An Associate s Degree or related work experience Fluency in Hindi language Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Bachelor s degree in a relevant field May vary in other locations like India C1 English language proficiency 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

Over the past 25 years, Amazon has reinvented on behalf of customers and has become the largest internet retailer and marketplace in the world. Amazon is now reinventing on behalf of the business customer and focused on building the most innovative Business-to-Business (B2B) marketplace in the world, and we are recruiting to make this vision a reality. The Amazon Business organization is focused on building solutions to enable B2B customers to research, discover and buy business, industrial and scientific products in large catalogs; across multiple devices, marketplaces and regions. Our customers have different needs than the traditional Amazon consumer customer base. Amazon Business (AB) reseller team focuses on the investigations with researches on AB customers on various parameters and evaluates facts related to buyer and/or seller to unblock the legit customer to on large quantity purchases. This role would need you to 1) Handle the day-to-day assigned tasks and ensure they meet quality standards 2) Maintain records of day-to-day work by updating trackers to reflect work done 3) Use tools to create and manage classification 4) Actively troubleshoot and respond to issues that are caused by incorrect classification About the team Amazon Business Data Analytics and Insights (ABDAI) has two missions; (1) provide accurate and reliable, data and data products for continued success of our business and (2) predict and value customer actions for our business partners to be right a lot when taking decision This role requires strong attention to detail, solid work ethic and drive, the ability to manage large and complex rule sets, the ability to recommend solutions to various problems and excellent communication skills and follow up. Bachelor Degree or equivalent; Decision making aptitudes based on given guidelines and in ambiguous context. Self-motivated with critical attention to detail, deadlines and reporting; Proficiency in Microsoft Excel and Word Demonstrated collaborative skills and ability to work well within a team, including adherence to core values and dynamic corporate culture Ability to work under a dynamic work environment and meet performance goals. Prior experience of working on classification will be added value

You are a strategic thinker passionate about driving solutions. You have found the right team. As a Reference Data Associate within our XYZ team, you will drive operational excellence and strategic program management in global data operations. You will be responsible for overseeing daily production processes and managing a strategic project portfolio within our client data management team. This role offers the opportunity to enhance process performance and efficiency while interfacing with key stakeholders across various teams. We value your contribution in promoting operational excellence and strategic program management in our global data operations. Job Responsibilities Oversee daily production processes and strategic program projects. Measure process performance and implement efficiency improvements. Interface effectively with stakeholders in middle office, transition team, and KYC. Provide subject matter expertise in party reference data and data quality management. Achieve process excellence through measurement and continuous improvement. Ensure transparency through metrics on data quality, remediation, and productivity. Coach and develop analysts to enhance team capabilities. Required Qualifications, Skills, and Capabilities You must have 5+ years of experience leading global operations teams. Must hold a Bachelors degree or above Expertise in data management, process improvement, and project management. Proficiency in party reference data, client onboarding, and KYC processes. Ability to motivate teams, analyze data, improve processes, and communicate complex concepts effectively. You are a strategic thinker passionate about driving solutions. You have found the right team. As a Reference Data Associate within our XYZ team, you will drive operational excellence and strategic program management in global data operations. You will be responsible for overseeing daily production processes and managing a strategic project portfolio within our client data management team. This role offers the opportunity to enhance process performance and efficiency while interfacing with key stakeholders across various teams. We value your contribution in promoting operational excellence and strategic program management in our global data operations. Job Responsibilities Oversee daily production processes and strategic program projects. Measure process performance and implement efficiency improvements. Interface effectively with stakeholders in middle office, transition team, and KYC. Provide subject matter expertise in party reference data and data quality management. Achieve process excellence through measurement and continuous improvement. Ensure transparency through metrics on data quality, remediation, and productivity. Coach and develop analysts to enhance team capabilities. Required Qualifications, Skills, and Capabilities You must have 5+ years of experience leading global operations teams. Must hold a Bachelors degree or above Expertise in data management, process improvement, and project management. Proficiency in party reference data, client onboarding, and KYC processes. Ability to motivate teams, analyze data, improve processes, and communicate complex concepts effectively.

About this role About this role The Aladdin Studio team is focused on developing a world-class digital experience which will help developers of all types build faster and more effectively on Aladdin. We are evolving the Studio Developer platform as an integrated digital application where you can discover data, build your own financial apps, and access industry-leading content, documentation and insight - with all of this delivered via a design-forward and client-centric experience. As a member of the Studio Developer Operations team, you will interact, engage and solve problems for some of the most technically sophisticated users of Aladdin. Our team is also responsible for delivering the monitoring, logging, alerting and observability framework of Studio Developer to ensure our product is scalable and resilient as we enter a period of significant growth. Role Description 3-5 years of hand-on experience working as part of Platform Operations, Site Reliability Engineering, DevOps or related engineering teams . Building your skills as a domain expert on the functionality and capabilities of the platform. Triaging and timely resolution of client inquiries. Enable user best practice execution on the platform including training and adoption of new platform features. Understanding and acting on platform telemetry alerts including invocation of our Incident Management response plays. Look for opportunities to automate our workflows to improve our team s effectiveness and efficiency. Reporting and metrics generation on platform reliability as well as user inquiry trends. Contribute to building out our observability framework to enhance our platform. Desirable Skills Experience building, managing and supporting large-scale platforms. Understanding of the K8s Operator Pattern -- comfort and courage to wade into (predominantly golang based) operator implementation code bases Hands -on experience deploying log management and observability platform tooling: SPLUNK / Prometheus / Grafana, AlertManager . Strong attention to details and focus on high quality delivery. Comfortable reading and writing Python code. Comfortable working with clients and partners at all levels of the business. Our benefits . Our hybrid work model . At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www. linkedin. com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Do you like developing technical training, including gamified learning solutions, video creation, instructional design and graphic design to create high impact training curriculum? Amazon is looking for innovative learning professionals to support the development of engaging digital training for our front-line data associates. As a Learning Experience Designer, you will be an eLearning developer creating digital assets using standard instructional software tools to develop training that will inspire our learner population. Roles and Responsibilities will include, but are not limited to: Develop learning solutions using eLearning development tools, which include using storyboards and design direction to create digital assets such as videos, graphics, and modules. Development of Game based learnings, podcasts and interactive leaderboards for improving learning retention for AGI DS Employees Ability to rapid develop digital assets using the right methodologies to support course content for a frequently changing environment. Strong video editing and development skills Partnering with other Learning Experience Designers to produce high quality eLearning content Support curriculum maintenance reviews for developed training and update learning assets according to maintenance cycles. Design and Develop templates and apply ADDIE approach toward module designing and track scores and absorption of the learning content Perform Deep dive analysis on the deviations, problems, root cause and solutions Experience with SCORM requirements End to end execution of UAT, LMS and localization of contents along with coordination with cross functional teams such as conventions, Operations and WFM/Tech etc Be able to understand the business requirement and execute the task as per timelines or realign on the expected deliverables / time by using multiple strategic solutions to impart learning A day in the life As a Learning Experience Designer, you will be an eLearning developer creating digital assets using standard instructional software tools to develop training that will inspire our learner population About the team The AGIDS organization is engaged in the data processing to support the voice recognition for Alexa, the cloud-based service that powers devices like Amazon Echo, Echo Show, Echo Plus, Echo Spot, Echo Dot, and more. The Alexa service is always getting smarter, both for features, and for natural language understanding and accuracy. Because Alexa s brains are in the AWS cloud, she continually learns and adds more functionality, every hour, every day. We also are building the future with Alexa LLM and generative AI. Come build the future with us. 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign Experience in prototyping Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design Experience working in a collaborative team and working directly with developers for implementation of designs

Data associate plays a crucial role in machine learning and AI development by labeling, categorizing, and enriching raw data to make it useful for training AI models. Scope of this role also includes innovation, deep dive into unusual scenarios. The ideal candidate has a strong track record of research analysis, influence through collaboration, driving measurable business results, and attention to detail. This position is part of the world-wide grocery stores and supports a global customer base. Perform data collection tasks related to Amazon devices, applications, or services. Labeling and tagging data (text, images, audio, or video) on daily basis by adhering to Standard Operating Procedures (SOPs) and guidelines. Identifying and classifying specific features or patterns in datasets Participate in process improvement to increase the quality, efficiency, and accuracy of the teams processes. Partner with your team manager when your work is delayed or blocked due to technical issues. Report issues with tools and software to the development team when necessary. Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. Leverage technology and process innovation to bring continuous improvement to the operations. Analyze data to identify the root of a problem and solve it. About the team Grocery ECO is a new kind of shopping experience for customers with smart shopping carts no lines and no checkout. Simply use the ECO cart to enter the store, take what you want from our selection of fresh, delicious meals, grocery essentials, and go through dedicated lane. ECO carts enable scanning of products as they are taken from the shelves and you can keep track of live receipt via screen on cart. When you re done shopping, you just leave the store. Shortly after, we ll charge your Amazon account. Our technology uses computer vision, sensor fusion, and advanced machine learning. Bachelors degree Speak, write, and read fluently in English Demonstrated ability to be successful in a highly fluid, fast-paced and ambiguous environment Strong attention to detail and ability to follow precise annotation instructions Flexible to work across all the shifts. Work from office, 5 days a week. Knowledge of Microsoft Office products and applications Work from office, 5 days a week.

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 AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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. 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 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

We are looking for detail-oriented and enthusiastic fresh graduates to join our data team. As a Data Associate, you will be responsible for ensuring the quality of data inputs and outputs in our AI-powered system. You will work closely with AI developers, product managers, and QA leads to ensure high-quality deliverables. Key Responsibilities 1. RFI Question Extraction & Verification Identify and extract questions from customer-submitted RFI documents (PDFs, Word, Excel, etc.) Categorize and structure questions accurately under the guidance of domain experts Ensure completeness and clarity of extracted data 2. Digitized Document Format Review Review digitized versions of documents for formatting errors, misinterpretations, and incomplete data capture Make corrections and annotate issues to improve data quality for the AI training process Assist in maintaining metadata such as document type, language, and structure 3. AI Answer Review Evaluate answers generated by the AI model based on accuracy, relevance, and clarity Highlight incorrect, ambiguous, or missing responses and suggest better alternatives Tag responses as Verified / Needs Review / Incorrect based on defined quality standards 4. Reporting & Collaboration Document and report issues found during data extraction, verification, or AI output evaluation Communicate clearly with development and QA teams to relay edge cases or repeated issues Assist in creating feedback loops to help the AI system learn from human corrections Qualifications Required Strong attention to detail and analytical thinking Good command of English language - both written and comprehension Comfortable working with documents in various formats and using basic tools (Google Docs, Sheets, PDFs, Excel) Preferred Familiarity with ChatGPT or other AI tools is a plus Interest in AI, document processing, or quality control Ability to learn quickly and follow structured processes Skills & Competencies Document interpretation and summarization Basic understanding of data accuracy and formatting Communication and teamwork Initiative and adaptability in fast-paced environments What We Offer: Competitive fresher salary with performance-based incentives Work with cutting-edge AI systems Mentorship from experienced AI/QA professionals Friendly environment Chance to own responsibility and demonstrate accountability Flexible Work Arrangements: Onsite or remote options (as per company policy). International horizons - work with international teams and clients from all corners of the world Company parties, team events and the opportunity to work with great colleagues from all over the world Opportunity to transition into technical or analytical roles Medical Insurance Location & Work Mode: Remote or Hybrid. Flexible work hours, but availability during core collaboration hours is preferred.

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: RRS(RRS) Job Category: Credit Analysis & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. The Role: Join Moodys Corporation as a Data Associate and contribute to credit analysis in our finance rating groups. Develop valuable skills for a future career in the financial services industry. Work in a team, reporting to the manager. Responsibilities: Perform analysis to support ratings, research, and analytical outreach. Examples of work include: Perform various data intake tasks, including scrubbing and validating data for further use in research and ratings. Capture data from diverse sources and update relevant databases based on explicit instructions. Identify and research issues with data; bring up any concerns to senior members for assistance in resolution. Complete simple credit infrastructure/admin tasks with oversight, such as maintaining documents on SharePoint, basic database updates, and maintaining certain files. Share daily and weekly updates as required by the process, including workflow status or summaries of databases, reports, and lists. Skills: Credit: Exceptionally attentive to detail and capable of completing processes with full mentorship. Understand the datasets as well as input and output requirements strictly. Building Collaborative Relationships: Interact seamlessly with team members and direct managers. Qualifications: Bachelors degree in Finance, Business, Accounting, or a related field. Relevant experience of up to 1 year in credit/financial data analysis and interpretation.