42 Data Associate Jobs - Page 2

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