55 Data Associate Jobs

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities This is a fixed term contractual role for 12 months As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations An inner drive, individuality, and a creative mind are extremely beneficial Bachelor s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup Strong understanding of U S -based culture, society, and norms Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i e plagiarism Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Strong proficiency in English Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale) Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region you re applying in isn t listed, please contact your Recruiting Partner

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

Empower client success through meticulous query management, timely request fulfillment, and strategic process enhancement, ensuring unparalleled service standards and operational excellence. Job Summary As an Associate within the Client Account Service team at J.P. Morgan, you will be responsible for reviewing all custody account opening, maintenance, and closure related jobs. You will also work on internal and external projects related to the Custody space. This role requires flexibility with shifts and a strong focus on productivity and quality. Your ability to identify priority issues, work on deadlines, and coordinate with internal functions for prompt resolution will be key to your success in this role. Job Responsibilities Review all jobs submitted by the team in timely manner with utmost quality. Identify issues and coordinate with relevant internal functions for prompt resolution of disputed points within set time-frame parameters. Collaborate with key partners in service delivery, client service, operations and technology to contribute towards the development of an efficient operating framework. Measure performance based on productivity and quality. Identify errors and guide junior staff Produce good quality work, which is paramount to the candidates success in the organization. Perform as a checker for all jobs processed by initiators. Required qualifications, skills and capabilities Bachelor s Degree and/or Graduate Degree Knowledge of Custody is essential with at least 5 + years experience in custody domain) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with strong customer service skills (e.g. oral and written communication skills) Ability to multi-task and meet deadlines against a high-volume work schedule. Approach tasks with strong teamwork while also executing independently. Work to meet deadlines consistently. Organize tasks with strong organizational skills.

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

Key Responsibilities: Daily monitoring and processing of relevant data and information published by official and internal proprietary sources, via a combination of manual and automated processes Screening of media sources to identify data points / information related to companies (both public and private) and high net-worth individuals in the regions and countries assigned Contribute to content quality and expansion by ensuring active curation of existing sources and increase data coverage Subject matter expertise in analysing financial statements and ownership data Open-source intelligence gathering (OSINT) Synthesize information gathered from manual and automated processes Data capture and entry

Position Title: Provider Data - Associate PND - GR - 39558-69891 - JR165036 Job Family: PND > Data Mgmt Shift: 5th Shift (India) Job Description: Job Title Associate PND Requirement Type Full-Time Employee Job Location Bangalore Job Level I07 Hiring Manager Team Lead/AM Primary Skill Communication, Analytical and Interpretation skills Business PDS Skill Category Generic ABOUT ELEVANCE HEALTH Elevance is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states. A regular i n Fortune 500 list, Elevance ranked 20 in 2022 . Gail Boudreaux , President and CEO of Elevance has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list. ABOUT CARELON Carelon Global Solutions was founded in 2017 as a fully owned subsidiary of Elevance (Previously Anthem Inc). At the center of Carelon is its philosophy of Think Limitless. This enables us to strive for operational excellence, design and cutting-edge innovations and solutions, and deliver exceptional business value for the clients. Diversity is one of the cornerstone values at Carelon and we are proud of harboring a rich and wholesome environment that embraces differences, is inclusive, values talent and creativity, and discriminates against any bias. Carelon received its Great Place To Work certification in July 2021. OUR MISSION & VALUES Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More. Our Values: Leadership | Community | Integrity | Agility | Diversity JOB POSITION Carelon Global Solutions India is seeking a highly creative and meticulous Process Consultant who will provide insights on the provider data end to end. The incumbent will report to Assistant Manager / Manager Business operations and must understand the business delivery metrics and should be coordinating with onshore partners as and when required. JOB RESPONSIBILITY Responsible for accurate and timely maintenance of provider information on claims and provider databases. Primary duties may include, but are not limited to: Assists in synchronization of data among multiple claims systems and application of business rules as they apply to each database. Validates the data to be housed on provider databases and ensuring adherence to business and system requirements of customers as it pertains to contracting, network management and credentialing. Requires a 10+2+3 years of education; basic PC office software (especially MS Excel and MS Outlook); or any combination of education and experience, which would provide an equivalent background. 0- 1 year of experience in claims processing, provider, or credentialing preferred. Strong Analytical skills and have adequate expertise with data management along with strong oral and written communication skills. QUALIFICATION Bachelors or Masters degree in fine arts/ design Non-BTech (preferably) EXPERIENCE 0-1+ years of overall experience in HealthCare Domain Excellent Interpersonal skills & Communication skills SKILLS AND COMPETENCIES Familiar with MS Office basics (Excel/Power point/Outlook) Very strong Communication & Comprehension skills Excellent oral, written communication skills and problem-solving skills Flexible to work in any shifts/Work from office THE CARELON PROMISE Aligning with our brand belief of limitless minds are our biggest asset , we offer a world of limitless opportunities to our associates. It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate. This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging. LIFE @ CARELON Extensive focus on learning and development An inspiring culture built on innovation, creativity, and freedom Holistic well-being Comprehensive range of rewards and recognitions Competitive health and medical insurance coverage Best-in-class amenities and workspaces Policies designed with associates at the center EQUAL OPPORTUNITY EMPLOYER Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Reasonable Accommodation Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work. If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form. Disclaimer: Offered designation titles differ* Job Type: Full time

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

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 itThen 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.

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

As a Data Classification Associate, you will perform various duties related to the processing of Ads and data. To meet this requirement, members of staff need to be willing and able to work at times other than and in addition to the regularly scheduled workweek, should the need arise. Key responsibilities: The entry of required data, as specified in the applicable detailed entry and category guidelines provided. This key function requires that you learn the following: General data entry guidelines that define how different fields are to be recorded for a focus category group. Category-specific guidelines that define what is included in each category, and the specific rules for entering data for that category. How to effectively use our data entry system. Quality control review of entry work and other productive functions carried out by other staff, to identify, record, and correct errors as they occur. Reading from a computer-based image to identify those pages that contain products that are required for entry, depending upon the requirements of Numerator s clients. Review of project work on an ongoing basis to identify errors and omissions in the work delivered under individual client contracts. Ongoing revision and testing of the knowledge required to provide work of a consistently high standard.

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

Essential Job Duties: These statements are intended to describe the general nature of the job and are not intended to be an exhaustive list of all responsibilities, skills and duties. Obtains raw data from operational staff and conducts timely data back entry of study related data into data acquisition database. Conducts timely and accurate quality control for study related data. Learns to draft data tables from manually collected data and verifies data for accuracy. Recognizes deviations from normal or expected outcomes based on known reference standards and makes recommendations to supervisor. Carries out decisions independently as pre-determined appropriate. Works under regular supervision. Performs other related duties as assigned. To carry out any duties not specified but might reasonably be expected of a Data Associate I. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. A dditionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement .

The role is based in Gurgaon. Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos. Today, Circles partners with leading telco operators across multiple countries and continents, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally. Circles operates three other distinct businesses: Circles.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. Circles is backed by renowned global investors, including Peak XV Partners, Warburg Pincus, Founders Fund, and EDBI. We are seeking an experienced Data Associate to join our dynamic Jetpac team. The ideal candidate will have 2-5 years of experience in Data extraction, Analysis and Insight generation, with good understanding of emerging AI tools. In addition, the right candidate would have the spark and the flare needed for a young startup, and a desire to learn and grow. **What You Will Do** - Data extraction, analysis and insight generation - Identify insights to drive business decisions - Ensure data integrity, privacy and security - Measure project performance - Build relationships with stakeholders - Act as liaison between business and tech teams - Prepare reports and presentations on product updates and performance metrics - Contribute to product documentation and training materials - Monitor and report on users" reactions after launching **What We're Looking For** - 2-5 years of hands-on Data analyst/associate experience - BS/BTech in Mathematics, Economics, Computer Science, Information Management, Statistics or similar field from a reputable university - Strong analytical and problem-solving skills - Excellent communication and stakeholder management abilities - Knowledge in working with Data Visualisation tools (Looker, Metabase, Sisense, Tableau etc.) - Strong experience in advanced SQL concepts and hands on experience with Snowflake. Plus, basic knowledge in Python - Experience with data analysis and market research techniques - Ability to work effectively in a fast-paced, collaborative environment **Preferred Experience** - A degree from the Indian Institutes of Technology (IIT) is highly preferred - Experience working with AI-native products or technologies is also preferred The ideal candidate will be results-oriented, detail-focused, and able to manage multiple priorities in a fast-paced environment. Person should be able to distill usable and actionable insights out of the complex data that they are analysing. **What We Offer** - Competitive salary and excellent performance-based incentives - Comprehensive benefits package, including health, dental, and vision coverage - Flexible work arrangements with remote or hybrid options - Opportunity to work with a dynamic and innovative global team - Career growth and professional development opportunities Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age. To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program. Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.,

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

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

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

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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content

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

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

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

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

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

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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content