22 Data Associate Jobs

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.

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 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.

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 Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. Bachelor s degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 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 (for support functions teams) 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. 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+ 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 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

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 12 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 8 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment

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 C1+ or equivalent fluency in English 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 Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. Bachelor s degree in a relevant field May vary in other locations like India 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 (for support functions teams) Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications.

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 8 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment

Excited about robotics, and how it will be used in our everyday lives? The Amazon Consumer Robotics group is pushing the boundaries of what s possible, making the future closer than ever. Astro is Amazon s first household robot to use AI and Intelligent Motion to gracefully and intuitively interact with people and spaces. It is a different kind of robot, one that s designed to help customers with a range of tasks like home monitoring and keeping in touch with family. It brings together new advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing in a package that s designed to be helpful and convenient. Work on defined set of instructions to collect ground truth data for the product development. Perform execution and report results accurately. Understand procedures and guidelines for new tasks / releases Perform repetitive exercises based on the dynamic instructions without compromising on quality Use software tools for data capture and comply with the processes of the organization on a daily basis Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines. Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA s Own the daily targets against internal and external dependencies. - Bachelors degree - Speak, write, and read fluently in English - Knowledge of Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience and familiarity with US culture

Job Title: Nonclinical SEND Data Associate Introduction to role Are you ready to harness the power of data for growth? At AstraZeneca, we are seeking data operatives to provide technical expertise for SEND data from nonclinical studies. This role is crucial in meeting health authority requirements and maximizing the opportunities these data present. Join us and lead the way for a new breed of solutions-oriented regulators! Accountabilities: As a Nonclinical SEND Data Associate, you will provide support across nonclinical functional areas, promoting and enforcing the use of nonclinical data standards. You will maintain metadata libraries, review and assess the impact of newly released and updated data standards, and communicate AZ data requirements to external vendors. You will also be responsible for quality validation and management of nonclinical datasets, training internal customers, assisting in warehousing and visualization activities, and ensuring submission-ready datasets are produced. Essential Skills/Experience: - Experience in a scientific environment - Knowledge of CDISC standards - Understanding of nonclinical study designs, data and documentation - Basic knowledge of regulatory guidelines and industry standards (FDA, ICH/GLP, PhUSE) - Experience in data process builds - Experience with LIMS and SEND solution software - Bachelor s degree (B.A./B.S.) or equivalent in a scientific or related discipline - Ability to communicate effectively (written and spoken) in English Desirable Skills/Experience: - Open to candidates with diverse skills and experiences

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 10 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills bachelors Degree or Graduate Degree. Knowledge of KYC is essential with at least 8 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Associate within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills bachelors Degree or Graduate Degree. Knowledge of KYC is essential with at least 10 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment

About the Role The Data Operations Team is the backbone of the client servicing at Loop. We maintain clean and accurate sets of client data to allow customers to access their health insurance details easily in the Loop app. The data team also works cross functionally with the Claims, Customer Support and Engineering teams to enable smooth servicing for all our clients and their employees. As Part of this team you will learn data management, analytics and several other technical skills. What you will be doing: Hands on experience in MS Excel, Google Spreadsheets etc. to maintain and perform data validations, analysis and entry Insert customer and members data by inputting text based and numerical information from source documents into the database within time limits Compile, verify accuracy, validate and sort information according to priorities to prepare source data for computer entry Review data for deficiencies or errors, correct any incompatibilities if possible and check output and co-ordinate within and with teams to get all details, and ensures data preservation Generate reports, store completed work in designated locations and perform backup operations Respond to queries for information and access relevant files, Collaborate with cross functional teams What we are looking for: We are looking for energetic freshers - doctors Must have a graduation degree in medical (pharmacists not applicable) Experience in MS Excel, Google Spreadsheets etc. is an added advantage. Ability to preform a given task without continuous supervision Ability to treat information, data and records with respect to business requirements and guidelines.

Are you prepared to influence the future of climate risk management at J.P. Morgan? As a crucial part of our Climate, Nature and Social Risk team, youll utilize your data and communication skills to improve our climate and nature risk data capabilities. This role provides a unique chance to contribute to a fast-growing field with significant visibility within the firm. As a Data Associate within the CN&S team, you will be part of the team responsible for managing all aspects of data related to these domains. This includes collaborating with a diverse range of stakeholders, such as business units, vendor organizations, technology teams, data scientists, other JPMC LOBs and applications, and governance and control functions. You will play a key role in planning data requirements, establishing capabilities for data validation, monitoring, access control, reporting, and ensuring data quality. We are looking for a self-starter with a curious mind who is eager to learn and contribute to the firms efforts in climate, nature, and social efforts . Job responsibilities Work closely with, business stakeholders, and technology teams to gather, analyze, and translate business requirements into detailed technical specifications. Integrate and transform data assets across Climate Risk platforms to support analytics and reporting needs. Ensure data is prepared and structured for effective analysis and modeling . Adhere to robust data controls processes, and governance practices in line with firms guidelines Utilize data analytics and reporting tools to develop and maintain interactive reports and dashboards tailored to the needs of the CN&S team. Become an expert in datasets used for climate and nature risk management, particularly geospatial data Interact with business stakeholders to present test results, and research analyses. Build strong relationships to facilitate effective communication and collaboration. Required qualifications, capabilities, and skills Expertise in data management practices, including ensuring data quality, completeness and governance. Knowledge of geospatial datasets, including shapefiles, rasters and netcdfs. Experience with GIS software such as QGIS/ArcGIS and/or geospatial analysis in Python/R. Proficiency in developing and implementing data visualization techniques and tool, using platforms such as Tableau, Business Objects, Alteryx, or similar to create interactive dashboards and reports Excellent analytical skills with the ability to perform data mining and processing to extract meaningful insights. Ability to articulate thoughts clearly and succinctly, both written and verbally. Energetic, self-motivated, and effective under pressure. Must enjoy the challenge of working in a fast-paced and demanding environment. Preferred qualifications, capabilities, and skills Previous experience in the financial industry or related field is a bonus. Understanding and experience operating under Agile methodologies, particularly as part of a product owner team. Familiarity with risk management practices and insights into Climate, Nature, and Social domains are highly valued.

The Data Operations Team is the backbone of the client servicing at Loop. We maintain clean and accurate sets of client data to allow customers to access their health insurance details easily in the Loop app. The data team also works cross functionally with the Claims, Customer Support and Engineering teams to enable smooth servicing for all our clients and their employees. As Part of this team you will learn data management, analytics and several other technical skills. What you will be doing: Hands on experience in MS Excel, Google Spreadsheets etc to maintain and perform data validations, analysis and entry Insert customer and members data by inputting text based and numerical information from source documents into the database within time limits Compile, verify accuracy, validate and sort information according to priorities to prepare source data for computer entry Review data for deficiencies or errors, correct any incompatibilities if possible and check output and co-ordinate within and with teams to get all details, and ensures data preservation Generate reports, store completed work in designated locations and perform backup operations Respond to queries for information and access relevant files, Collaborate with cross functional teams What we are looking for: We are looking for energetic freshers - doctors Must have a graduation degree in medical (pharmacists not applicable) Experience in MS Excel, Google Spreadsheets etc is an added advantage. Ability to preform a given task without continuous supervision Ability to treat information, data and records with respect to business requirements and guidelines.

As a Client Data Associate II in our KYC Operations team, you will be responsible for overseeing a small team of KYC Operations Analysts and Reviewers. Your primary role will be to ensure all client KYC records are compliant with regulatory standards, and to promote high quality and timely completion of all client-level due diligence requirements at the onset and renewal of client relationships. You will need to have excellent customer service standards to define, analyze, and resolve inquiries and escalations and must be able to closely manage day-to-day operations of the team/department. We expect you to be proactive and strategic in improving processes to ensure team members are high performing and meeting the firm-wide quality standard. Job Responsibilities Understand and implement KYC standards, guidelines, policies, and procedures. Select, manage performance, and oversee the overall development of employees within their assigned team. Conduct analysis of daily/monthly metrics to track performance of individual team members over time to evaluate performance, learning, and capability. Effectively address any issues that might be escalated by either internal or external customers. Drive process improvements and implement process changes as necessary. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Manage priorities across the wider function. Required Qualifications, Skills and Capabilities Bachelor s Degree or Graduate Degree Minimum 9 years experience in the Financial Services industry with a demonstrated track-record of delivery with relevant experience in AML,KYC and compliance Experience with leading a new team with limited Subject Matter Expertise Outstanding client management, partnership building, leadership, and direct experience of dealing with multiple stakeholders at one time. Ability to identify risks and issues and successfully navigate through to solutions Computer skills Lotus Notes and Microsoft Office Suite including Excel, Word and PowerPoint Foster and champion High Performance Culture where people are empowered to make decisions. Develop and lead a team that is responsive to dynamic organizational and operational changes

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. 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. - 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 - 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