1420 Annotation Jobs

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030705

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030751

🚀 We're Hiring: Operations Manager – Data Annotation, Transcription & AI Projects 📍 Location: Salem / Erode | 🕒 Full-Time | 🏢 On-Premise | 📅 Day Shift | Weekend Availability Info G Innovative Solutions is looking for a dynamic and experienced Operations Manager to lead the execution of diverse client projects across data annotation, transcription, and data collection. If you're a hands-on leader who thrives in fast-paced environments and can build scalable workflows from scratch—this role is for you! 🔍 Position Summary As an Operations Manager, you’ll own project delivery, mentor teams, and collaborate cross-functionally to ensure high-quality execution across multiple domains including Generative AI, LLM data prep, and multilingual workflows. 🧠 Key Responsibilities 📦 Lead end-to-end execution of annotation, transcription, and data collection projects 🛠️ Build scalable SOPs, trackers, and delivery pipelines tailored to each project type 👥 Mentor and manage teams of SMEs, TLs, and annotators; oversee onboarding and training 🤝 Collaborate with Business Development to convert client needs into actionable plans 🚨 Handle escalations, ensure quality control, and drive continuous improvement 📊 Prepare reports, delivery documentation, and support client audits and reviews 🧪 Project Areas Exposure 🖼️ Annotation: Image, Video, Audio, Text, 3D 🗣️ Language: Transcription, Translation (human & machine-aided) 📸 Data Collection: Field data, user-generated content 🤖 Generative AI: Prompt creation, evaluation, LLM data prep (preferred) 📊 Key Performance Indicators (KPIs) Timely execution of diverse project types SOP setup and standardization Delivery quality and client satisfaction Efficient project ramp-up and team readiness Smooth collaboration with BD, HR, and Tech teams 🎓 Required Skills & Qualifications Bachelor’s/Master’s in Business, Technology, or related field 6–8 years total experience, with 4–5 years in operations for data/AI/language services Proven expertise in managing annotation, transcription, and multilingual data projects Strong planning, team management, and delivery metric skills Excellent communication and coordination abilities Exposure to Generative AI or LLM workflows is a plus 🗣️ Languages Required Tamil (oral communication must) English Hindi (good to have) 📧 Interested candidates can share their resume at: hr@infogsolution.com 📞 Contact: 9489979523 (HR) 📢 Know someone perfect for this role? Tag them or share this opportunity #OperationsManager #AIJobs #AnnotationProjects #TranscriptionJobs #DataCollection #GenerativeAI #LLM #HiringNow #SalemJobs #ErodeJobs #TeamLeadership #ProjectManagement #TechCareers #TamilJobs #JobOpening #JoinOurTeam #LinkedInJobs #DataOps #AIProjects #LanguageData #SOP #QualityControl #ClientDelivery #InfoGInnovativeSolutionsThe ideal candidate will have an ability to create and maintain an efficient system of operation to support the business needs. The candidate should be comfortable multitasking and working cross-functionally with different business units. The ideal candidate will have previous experience in related fields.

DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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.

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data 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.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong 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 Preferred Qualifications 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030713

DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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.

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong 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 Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031065

Job requisition ID :: 86944 Date: Jul 31, 2025 Location: Delhi Designation: Consultant Entity: Deloitte South Asia LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. Your work profile As a Consultant/Senior consultant in our Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: Key Responsibilities Annotate the Medical Images using atlas images for accurate and precise annotations of the regions of interest. Should be ready to learn and use tools for medical image annotations such as ImageJ. Should be able to develop and deliver solutions based on computer vision and image processing techniques. Should possess Data Science and Machine Learning Skills. Should be able to develop data storage and data processing pipelines in AWS cloud. Should have great collaboration and communication skills. Technical Skills Proficient in Data Science & Machine Learning based methodologies and tools. Proficient in Computer Vision Techniques, Image Processing techniques, Python Programming Etc. Experience in Image Registration and Image Annotation Techniques. Experience in Data Processing and Cloud Technologies is desirable. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterized by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. Your role as a Consultant/Senior consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Senior consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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.

DESCRIPTION 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 Amazon's 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. Key job responsibilities 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. BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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 AI's Experience in content or editorial writing 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.

DESCRIPTION The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. BASIC QUALIFICATIONS 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign High proficiency in using authoring tools (Articulate) and Design/illustration tools, Video and Audio editing, Web design, UX Design or Multimedia. PREFERRED QUALIFICATIONS Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design High proficiency in using authoring tools and Design/illustration tools, Video and Audio editing and other related platforms. End to End management of Learning & content management systems. Ability to understand Web Design basics and tools for any integrations and content hosting requirements. 4+ years’ experience as an instructional designer or any related position, such as Learning Experience Design, Communications, Education, UX Design or Multimedia training solutions. 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.

DESCRIPTION The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities Manage training team across 5 sites. Manage work prioritization and delivery based on business needs. Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. Ensure and drive best practices standardization across all sites. Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). Ensure training results are trackable, sustainable, achieving goal and strategy. BASIC QUALIFICATIONS A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented. Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Detail-oriented, team-focused, and a quick problem-solver. Advanced proficiency in MS Office PREFERRED QUALIFICATIONS Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology 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.

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data 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.

DESCRIPTION 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 Amazon's 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. Key job responsibilities 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. BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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 AI's Experience in content or editorial writing 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.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Job Reference: MAIN PURPOSE OF JOB: The full-stack software engineer is responsible for developing information systems by studying operations, designing and developing software components, and collaborating with others in a software development team to ensure that solutions are maintainable, scalable, and tested. Note: This role primarily requires strong front-end development experience. Candidates must have solid expertise in front-end technologies. However, knowledge of back-end development is preferable and will be considered an added advantage. MAIN DUTIES The following is a non-exhaustive list of responsibilities and areas of ownership of a Software Engineer: Study information needs, systems flow, data usage, and work processes to formulate solutions Collaborate with Product Management and UX personnel to understand priorities and ensure designs are refined through user testing Document and demonstrate proposed solutions Determine operational feasibility by evaluating analysis, problem definition, requirements, and proposed solutions Implement solutions following the software development lifecycle Update job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations Protect operations by keeping information confidential Accomplish engineering and organization mission by completing work in a timely fashion Support and develop software engineers by providing advice, coaching, and educational opportunities Education Level- Post-secondary degree in Computer Science or equivalent professional experience Experience- Demonstrable professional experience as the technical owner of major components or subsystems through the software development lifecycle Excellent problem-solving skills and attention to detail Proficiency in Node.js and different frameworks such as Express, Typescript Previous professional experience collaborating with business stakeholders Experience shipping code in an agile SDLC Previous experience in performance analysis and benchmarking Able to apply continuous integration, develops, and automated testing concepts Knowledge of multiple frameworks, paradigms, languages, and trends in the relevant domain Other relevant skills Strong understanding of design patterns Experience in JavaScript web development with React.js or Vue.js Knowledge of version control systems, particularly Git Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform Knowledge of asynchronous programming, queuing, cacheing, logging, security, and persistence Practical knowledge of algorithms, big O complexity, and the CAP theorem Able to add value to team discussions, prevent views persuasively with rational justifications, and solve disagreements constructively Able to assess and evaluate 3rd party components and systems Able to solve technical challenges independently

Years of Experience: 3-8 Years Location: Noida Work from Office Job Description The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team. Key Responsibilities Data Cataloging & Management Maintain structured catalogs of video data with consistent labeling and metadata. Organize datasets for efficient access, versioning, and reuse across model development cycles. Tool Development & Automation Build or assist in developing internal tools to automate data handling, quality checks, and reporting. Streamline data pipelines to support rapid model development and testing. Accuracy Computation & Reporting Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc. Generate regular performance reports to support model tuning and validation efforts. Team Collaboration & Coordination Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery. Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management. Qualifications & Required Skills B.Tech Experience in data analysis, preferably in video/image-based domains. Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel. Familiarity with video annotation workflows, dataset versioning, and evaluation techniques. Experience in building or using automation tools for data processing. Ability to manage tasks and mentor junior team members effectively. Good communication and documentation skills.

Job Title: AI/ML Agent Developer Location: All EXL Locations Department: Artificial Intelligence & Data Science Reports To: Director of AI Engineering / Head of Intelligent Automation Position Summary: We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search. Why Join Us: Work at the forefront of AI orchestration and intelligent agents. Collaborate with a high-performing team driving innovation in enterprise AI platforms. Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.

GlobalLogic is looking for motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. In this role, you will be responsible for data labeling and annotation to support the development of AI and machine learning models. Even if you do not have prior experience in data annotation, comprehensive training will be provided. If you possess basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is an excellent opportunity to kickstart or advance your career in the AI/ML industry. As an Associate Analyst at GlobalLogic, you will be expected to have a Bachelor's degree in any discipline, basic computer proficiency, and comfort with MS Office or Google Suite. Strong focus, attention to detail, and the ability to perform repetitive tasks are crucial for this role. You should be a quick learner with a problem-solving mindset, willing to work from the office and open to rotational shifts in a 24/7 work environment. A keen interest in AI, data processing, or machine learning is desirable, along with a high level of reliability, adaptability, and initiative. Your responsibilities will include manually labeling data points such as text, audio, video, and images following clear guidelines and instructions. You will need to ensure accuracy and consistency in annotated data by adhering to predefined quality standards. Strong written and verbal communication skills are essential for understanding and interpreting tasks clearly. Additionally, you will be required to apply reading, writing, and listening skills to interpret and describe different types of content effectively, as well as troubleshoot annotation-related challenges with critical thinking and problem-solving skills. At GlobalLogic, you can expect a culture of caring where people are prioritized, and inclusivity is promoted. Learning and development opportunities are abundant, ensuring continuous growth and skill enhancement. The work you will be involved in is interesting, meaningful, and impactful, allowing you to engage your curiosity and problem-solving skills. Balance and flexibility are encouraged, and GlobalLogic values integrity and trust as fundamental aspects of its organizational culture. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide, driving the digital revolution since 2000. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

GlobalLogic is seeking motivated, intelligent, and detail-oriented individuals to join their team as Associate Analysts. The role involves data labeling and annotation to support the development of AI and machine learning models. No prior data annotation experience is required as comprehensive training will be provided. If you have basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is a great opportunity to begin or advance your career in the AI/ML industry. Requirements: - Bachelor's degree in any discipline - Basic computer proficiency and comfort with MS Office or Google Suite - Strong focus, attention to detail, and ability to perform repetitive tasks - Quick learner with a problem-solving mindset - Willingness to work from the office (mandatory) - Open to rotational shifts in a 24/7 work environment - A strong interest in AI, data processing, or machine learning - High level of reliability, adaptability, and initiative - Readiness to contribute in a high-volume, quality-driven team environment Job Responsibilities: - Manually label data points including text, audio, video, and images following clear guidelines and instructions - Ensure accuracy and consistency in annotated data by adhering to predefined quality standards - Understand and interpret tasks clearly with strong written and verbal communication skills - Apply reading, writing, and listening skills to interpret and describe different types of content effectively - Perform repetitive tasks with high levels of focus and attention to detail - Troubleshoot annotation-related challenges with critical thinking and problem-solving skills - Work efficiently in a fast-paced environment, managing tight deadlines and large-scale datasets - Be open to assisting with non-personal data collection (e.g., capturing images or audio clips of objects like receipts, books, vehicles, roads, buildings, etc.) - Quickly adapt to new annotation tools or software platforms What GlobalLogic Offers: - Culture of caring: Prioritizing a culture of caring, inclusive culture of acceptance, and belonging - Learning and development: Continuous learning and growth opportunities with various programs and training curricula - Interesting & meaningful work: Engaging projects that matter with opportunities to work on cutting-edge solutions - Balance and flexibility: Importance of work-life balance and flexible work arrangements - High-trust organization: Integrity, trust, and ethical practices at the core of the company's values About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences. Collaborating with forward-thinking companies, GlobalLogic transforms businesses and redefines industries through intelligent products, platforms, and services.,

Job Description Some careers shine brighter than others If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions We are currently seeking an experienced professional to join our team in the role of Senior software Engineer Develops software solutions by studying information needs, conferring with users and various teams, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Prepares and installs solutions by determining and designing system specifications, standards, and programming Sound verbal and written communication to interact with global teams. Good Interpersonal skills Stakeholder management Good knowledge on JIRA and Confluence Requirements To be successful in this role, you should meet the following requirements: Candidate with strong hands-on React, Java, spring boot, Jenkins, Git Hub, Maven Good analytical and problem-solving skills. Skills in trouble shooting Applications deployed on any of the industry standard Front end – React Experience in working in DevOps and Agile model Should have experience of end-to-end Development process, including the BDD based development, write, test and run the scanning tools for the code, build and deploy the same to on prem WAS / WPS and AWS EC2 infra. Strong knowledge on Java / J2EE – especially Servlet and JSP Knowledge on Spring boot based Microservice architecture, well versed to develop, deploy and automate test, restful API (Service API, and Presentation API) Good analytical and problem-solving skills. Good exposure to GIT, pull request and rewire the jenkin job to exeute the pipeline on trigger of Pull request. Should be aware of best practices like, feature branching pull, merge, create annotation and release management skills. A pragmatic approach to delivering modular and extensible code Experience in leading the module/project end to end (Estimation, Planning, Deliveries) Good knowledge on JIRA and Confluence Exposure of Banking domain Knowledge on Cloud / Pivotal Cloud Foundry / AWS Exposure of Banking domain You’ll achieve more when you join HSBC www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website Issued by – HSBC Software Development India

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Company Profile DataNeuron is headquartered in San Francisco with offices in New Delhi and focuses on the development and scaling of AI models. The company offers a data-centric, end-to-end solution for the Annotation, Training, and Management of Machine Learning models and LLMs. With DataNeuron, customers can quickly and easily produce prediction algorithms without writing any code. Our team is made up of an innovative group of data scientists, engineers, and program managers united by a passion for solving challenging problems in NLP at scale. We’re committed to ensuring that our components deliver the quality and performance that our customers expect. About The Role As a Full Stack Engineer (MERN) at DataNeuron, you will play a pivotal role in the design, development, deployment, and maintenance of our cutting-edge applications and their various modules. Located in New Delhi, India, this position offers an exciting opportunity for individuals with 2-4 years of experience to contribute to a dynamic team dedicated to accelerating and scaling the development of AI models. Location - Hybrid (Noida, India) ; Experience - 2 - 4 Years Responsibilities : Spearhead the end-to-end development lifecycle of multiple application modules, showcasing ownership and technical leadership. Collaborate seamlessly with cross-functional tech teams to architect, develop, and maintain our suite of innovative software products. Demonstrate prowess in coding, debugging, and troubleshooting, ensuring the delivery of high-quality solutions. Efficiently manage deadlines and deliverables, exhibiting a results-oriented approach. Foster a proactive mindset for continuous personal and professional growth, stepping out of your comfort zone to embrace challenges. Actively contribute to architectural and design discussions, bringing creative insights to enhance the overall product quality. Cultivate strong communication skills to articulate ideas effectively within the team, contributing to the creation of a product that is a true work of art. Requirements : Proficient command of JavaScript, TypeScript , and Node.js , showcasing an ability to apply these languages effectively in practical solutions Proven hands-on experience with Single Page Application technologies, including React.js, Tailwind css, and zustand , coupled with a strong foundation in unit testing. Proven experience in design and development of complex data intensive systems. Solid understanding and practical application of NoSQL Databases such as MongoDB , DynamoDB, etc. Demonstrated capability to independently design robust products and features, showcasing creativity and problem-solving skills. Hands-on experience with cloud providers, especially AWS , is required. Expertise in deploying applications using Kubernetes and Docker , ensuring seamless integration with the broader tech environment. Proficiency in CI/CD practices and bash scripting, ensuring efficient and automated development workflows. Advanced knowledge of GIT and GITHUB Actions , facilitating collaborative and version controlled development. Familiarity with monitoring tools like Prometheus and expertise in logging tools such as Elastic Stack (ELK) and Loki. Sound understanding of Vnet/Subnet planning and networking, coupled with expertise in VPC Security.