1448 Annotation Jobs - Page 19

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 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 C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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 MAA 12 SEZ Job ID: A3005013

Cogito is currently working on Artificial Intelligence applications and is looking to engage with "Level 3 CCTA Certified Radiologist/Cardiologist" to participate in ongoing projects. We will provide clear instructions and access to a web based software for reporting. Job Description: Annotate CCTA/MRI scans per structured protocols Review and ensure data accuracy for AI/ML use Collaborate with tech and clinical teams Maintain compliance with medical data standards NOTE: Recruiting level III CCTA readers or equivalent who are involved in routine CCTA reporting and /or supervising and teaching a CCTA program to work on a project involving AI tool development for CCTAs Required profile: DM ( Cardiovascular & Interventional Radiology), or Fellow of the Society of Cardiovascular Computed Tomography (FSCCT), or Cardiac Imaging Certification by the Cardiological Society of India (CSI), or Fellowship in Cardiac Imaging (FHRS/FICC/FCSI) (Doctor should be having any one of the above qualifications) Doctor should be comfortable working with digital annotation platforms Work Type: Remote Work Required: 5 - 10 hours/week Remuneration: Hourly basis/work basis (will be discussed during the meeting) Please apply through Naukri or email your resume to hr@anolytics.in Regards Team HR

India - Hyderabad JOB ID: R-218806 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jul. 01, 2025 CATEGORY: Regulatory ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The MAC Reference Librarian will be responsible for managing the digital Reference Library and Match Text Library within the Veeva Global PromoMats system, while adhering to internal guidelines, SOPs (Standard Operating Procedures), policies and industry regulations. Roles & Responsibilities: Manage Reference and Match Text Libraries for multiple US MAC Teams Adding new Match Text records and adjusting existing records. Manage Amgen Label Reference documents in Veeva Organize annual reviews Supports Global Initiative/Other MAC related projects. Expert in MAC Reference Requirements and Veeva Reference & Annotation (R&A) technology. Performs Quality Check on all References uploaded into the Reference Library to ensure aligned to R&A requirements Builds & maintains strong relationships with project Sponsors (owners), Reviewers, agencies, and other MAC Cross functional partners while also providing training on Reference Library and Linking requirements & identify Reference QC issues Collaborates with Material Compliance Managers (MCM) to understand BU/Product business priorities and elevate process issues that arise Collaborates with MCA to identify and correct Reference QC issues Partners with SciComm to update Links to Reference Anchors in MAC materials Manage the MAC Reference Library email Inbox. Create and manage associated work instructions. Facilitate weekly Reference Library Office Hours Reports to the Director of Material Compliance in Regulatory Affairs Required Knowledge and Skills: Ability to foster collaboration, work effectively on cross-functional teams, and consistently deliver on-time. Strong oral and written communication skills; strong interpersonal skills; demonstrated time management and decision-making skills. Critical thinking and problem-solving skills Quick learner, proactive, takes initiative. Distinguishes proper balance between strategic and tactical thinking. Strong experience with Project Management tools, methodologies, and practices Proven ability to manage in a highly fluid, interactive, matrix environment. Authoritative command of complexity and ambiguity, ability to see the big picture, ability to collect, digest and assemble information to enable relevant business analysis and influence decision-making. Identify continuous process and system improvements to save time and cost to Amgen. Preferred Knowledge and Skills: An understanding of the pharmaceutical commercialization process and knowledge of the legal and regulatory guidelines affecting promotion of prescription products Project management experience in the Pharmaceutical, Biotechnology or other Healthcare-related field, or other regulated industries Experience with Microsoft Office 365 (e.g. Word, Excel, Outlook, and PowerPoint), Adobe products (e.g. Adobe Photoshop, Illustrator, and Acrobat Pro), and Veeva PromoMats Experience managing medical reference support for marketing materials that are produced at high volumes. Experience managing digital library and medical references. Basic Education and Experience: Bachelor’s degree and 6 years of related experience OR Associate’s degree and 10 years of related experience Preferred Education and Experience: Bachelor’s degree and 6 years of related experience Experience working in a Global Regulatory Affairs organization AIN working hours for this position: This position supports the Regulatory Promotion and Material Compliance activities serving Amgen’s US Business Operations and thus the AIN working hours will need to be flexible with occasional overnight work time when needed to support product launches and new indications. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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 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 C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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 MAA 12 SEZ Job ID: A3005032

Role & responsibilities Strong attention to detail and visual-spatial understanding. Ability to work independently and manage repetitive tasks with precision. Basic understanding of image editing or annotation tools (experience with 3D tools is a plus). Good problem-solving skills and a proactive approach to quality control. Comfortable working in a non-voice, back-office environment. Experience in image annotation, data labeling, or computer vision projects. Knowledge of 3D modeling or related software tools. Familiarity with floor plans, interior layouts. Preferred candidate profile Educational Qualification : Any Graduate, Post Graduate Any graduate with certification done in AutoCad or VFX or Graphic Designing or Photoshop (Preferred) Work Experience: Graduate freshers and experienced. Good communication in English. Work Schedule: Must be open to working night shifts and rotating weekends. Working Model: 24/7 (Work from Office) Perks and benefits Medicare Facility(free online consultation with Doc) Medical insuarance upto 2 lacs Free both side cab facilities Interview process 1st Interview Round - HR Screening Test -Language Assessment + Annotations test Final Interview Round :- Operations Work Location : Telus Digital 3rd Floor, Fintech One, GIFT City, Gandhinagar 382355 For more information, please connect with Antara@7042566314 or share the CV over antra.rawat@telusinternational.com or whatsapp @7042566314

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 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: A3005192

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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: A3005181

Agent Trainer (Remote Flexible Hours) Help Shape the Future of AI. No Prior AI Experience Required. About Us At SoftAge, we work with the worlds leading AI research labs and product teams to train cutting-edge autonomous agents and foundation models. These systems power the next generation of digital assistants, copilots, and task-completing AI Agents across web, desktop, and mobile platforms. Our global network of trainers, technologists, and creators plays a key role in teaching AI to interact intelligently with real-world digital environments. What You'll Do As an Agent Trainer , you'll teach AI systems how to navigate and use real software spanning productivity tools, web platforms, design software, code editors, and more. This includes: Creating realistic scenarios and natural prompts for task completion Demonstrating tasks step-by-step using Mac/Windows systems Recording interactive data in structured formats Evaluating outputs and identifying model weaknesses Helping simulate and guide human-like computer use Why You Should Apply Earn Up to $10-$60/day depending on hours contributed Flexible, Remote Work work from anywhere, on your schedule No AI Experience Required comprehensive onboarding provided Work on Real AI directly contribute to training powerful LLMs, LAMs, and Agents Be Part of the Future help define how AI interacts with the digital world Who Were Looking For We welcome professionals, and tech-savvy experts from all backgrounds who: Are proficient Mac or windows users with access to a decent desktop or laptop. Have expertise in any professional software tools from different domains (e.g., Figma, Excel, VS Code, Photoshop, Notion, Jira) Can think logically and creatively to break down digital tasks Pay strong attention to detail and care about quality Enjoy working independently and solving problems Hear From Our Trainers "As a designer, I usually use AI to get answers. But here, I'm challenging it to do better its a total role reversal, and its addictive." Product Designer & AI Trainer "The flexibility and the chance to directly shape how future AIs work makes this role both fun and impactful." Tech Consultant & Agent Trainer Ready to Join? Apply now via this short form: https://forms.gle/rjUBYARYk2zok3BH9 SoftAge is proud to be a part of AI innovation that includes diverse voices and expertise. Come as you are, bring what you knowand let’s shape the digital future together.

Product Manager - Annotation, DAP, DCG & Acq Product Manager Mumbai #1 (Core Services) The Group: Investment Services The Role: Morningstar Investment Services is looking for a Product Manager to lead the development of multiple data entry tools across the Core Services platform, which supports the Managed Investment Data Group. Product Managers design, develop, and manage activities for a specific product from conceptualization, definition, and planning through implementation, release, enhancement, and eventual sun-setting – the product lifecycle. As a Product Manager, you will lead a cross-functional squad to maintain the current version of the products and help to innovate and build a new modern experience for product users and thus help deliver user satisfaction and business success. This position is based in Mumbai. Responsibilities: Work as the owner of collection system products (data entry tools) Be the point of escalation and responsible for product communication (issues/new features) Lead to develop and deliver meaningful software experiences to our customers/users Own and lead the roadmap, requirements, and product development lifecycle for a squad of related products Align stakeholders around the vision for the product & prioritize product features and capabilities Demonstrate product capabilities to clients/users, including functionality and methodology Manage relationship with stakeholders, especially tech team and users Understand and represent user needs, continuously improve user experience Keep up to speed with market for external functionality integration Requirements: 2+ years of relevant experience in software product management Understanding and experience in working with the Agile development framework Excellent oral and written communication, planning, and analytical skills Ability to develop strong internal and external partnerships, and work effectively across different business and functional areas Strong mindset of client/user focus Proven track record of Commit & Deliver Solid financial knowledge or experience working with Morningstar internal tools is a plus A bachelor’s degree is required, an advanced degree is preferred Flexibility to work outside of the defined shift Morningstar is an equal opportunity employer Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Job Title- Annotation Analyst (1- Year Apprenticeship Program) Location: Gandhinagar, Ahmedabad Department: Data Operations Contract Type: Apprenticeship (1 Year, Full-Time) Start Date: 29th July 2025 Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Strong attention to detail and visual-sapital understanding Able to commit to a 1-year contract , with availability for a full-time role Basic understanding of image editing or annotation tools Comfortable working in a non voice, back office environment Good problem solving skills and a proactive approach to quality control Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Familiarity with Floor Plan, interior layouts Knowledge of 3D modelling or related software tools Requirements: Education Qualification: Any Graduate, Post Graduate graduating in 2025 are eligible to apply Any graduate with certification done in AutoCAD or VFX or Graphic Designing or Photoshop Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Working model: 24/7 (Work from Office) Work schedule: Must be open to work in night shifts and rotational weekends Perks and Benefits Stipend- 17,000 per month Both side cab facilities.

Company Name : Optifye.ai Series A Startup Position Title: Vision Analyst (Data Annotator) Location: Sector 61, Gurgaon Working Days: 6 This is a full-time on-site role as a Data Annotator located in Gurugram. The Data Annotator will be responsible for day-to-day tasks related to annotating and labeling data for AI models, ensuring data quality and accuracy. This role plays a critical part in training AI systems for autonomous projects and requires working on annotation tasks like identifying clear image labeling.

Position Overview: We are seeking a talented and motivated AI Engineer with a strong focus on Computer Vision to join our team. The ideal candidate should have a passion for solving complex problems in the field of machine learning and computer vision, as well as the technical expertise required to build and deploy AI solutions. This role is perfect for individuals with 1-4 years of relevant experience, strong programming skills in Python, and a solid understanding of computer vision frameworks and libraries. Key Responsibilities: - Design, develop, and deploy computer vision models to solve real-world problems. - Implement machine learning algorithms for image processing, object detection, segmentation, and recognition tasks. - Optimize and fine-tune models using frameworks like PyTorch and TensorFlow. - Collaborate with cross-functional teams to understand requirements and deliver efficient AI-driven solutions. - Analyze large-scale datasets to derive meaningful insights and improve model performance. - Create and maintain robust, scalable code for production-level AI systems. - Research and stay updated with the latest trends and advancements in computer vision and AI. Required Skills and Qualifications: - Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. - Experience: 1-4 years of hands-on experience in computer vision and machine learning. - Programming Skills: Proficient in Python, with a strong understanding of object-oriented programming and scripting. - Frameworks: Expertise in using PyTorch and TensorFlow for model development and training. - Libraries: Proficient in popular Python libraries such as: - OpenCV-python for computer vision tasks. - Pillow for image processing. - scikit-learn for machine learning and data preprocessing. - Mathematics: Strong foundation in mathematical concepts related to machine learning and computer vision, including: - Linear algebra - Probability and statistics - Calculus - Computer Vision Algorithms: Practical experience in implementing and working with algorithms like: - Object detection - Image classification - Object segmentation - Activity recognition (optional but preferred) - Keypoint detection (optional but preferred) - Familiarity with image annotation tools and dataset preparation techniques. - Experience in version control systems like Git. Preferred Qualifications: - Knowledge of deploying models on edge devices or cloud platforms. - Familiarity with deep learning architectures like CNNs, RNNs, or GANs. - Experience with optimization techniques for model inference speed and accuracy. - Contributions to open-source projects in computer vision or machine learning. If you are passionate about applying AI to solve challenging computer vision problems and have the skills required to excel in this role, we encourage you to apply. Join us in building the next generation of intelligent systems!

Job Description Job Title: Account Executive Department: Account Management Location: India (Hybrid or On-site) Reports To: Senior Account Executive / Account Manager About The Organization We are a leading Indian language services company delivering multilingual communication solutions such as translation, transcription, interpretation, subtitling, voice-over, dubbing, desktop publishing, and linguistic data for AI/ML training in 250+ global languages. Our clients include MNCs, startups, e-commerce giants, education companies, law firms, healthcare providers, and AI developers. Role Overview As an Account Executive, you’ll be at the forefront of the company’s revenue generation and client success efforts. You will actively prospect for new clients, conduct product and service pitches, and work collaboratively with internal teams to deliver tailored linguistic solutions. Your primary goal is to meet and exceed your monthly revenue target, which is 20x your monthly CTC, by generating new business and nurturing qualified leads. Primary Responsibilities Generate and qualify new business leads through outbound cold calling, email marketing, and social media outreach. Build strong relationships with potential and existing clients by understanding their specific linguistic needs. Present customized solutions for services like translation, voice-over, data annotation, and subtitling. Prepare commercial proposals, presentations, and quotations. Maintain a high standard of documentation using CRM tools including client logs, notes, next steps, and proposal statuses. Coordinate with the project team to ensure timely and high-quality delivery of client projects. Track ongoing project progress, client escalations, and CSAT performance to ensure full-cycle client engagement. Follow up diligently for collections and close payment within the stipulated 60-day period. Actively participate in trade shows, networking events, and digital webinars (when applicable). Keep yourself updated with industry trends, competitive offerings, and the company’s full portfolio of solutions. What You’ll Achieve Deliver individual sales revenue equal to 20x your monthly CTC consistently. Maintain a lead conversion rate of at least 40% on qualified leads from the marketing team. Ensure every project has a minimum 50% profit margin. Strengthen retention by delivering a consistent, responsive client servicing experience. Achieve an average CSAT score of 8.5+ out of 10 from your client portfolio. Maintain 100% CRM update compliance with no missed client touchpoints. Required Competencies Strong communication, negotiation, and storytelling skills. Natural inclination toward sales conversations and client engagement. High degree of accountability, accuracy, and responsiveness. Proficient in using CRMs, Microsoft Office Suite, LinkedIn, and email automation tools. Ability to understand and explain linguistic workflows and service offerings. Career Growth Path A successful Account Executive can advance to a Senior Account Executive in 12–18 months, with a wider client portfolio, increased responsibilities in negotiation and retention, and higher revenue targets. Compensation & Perks ₹4.8 LPA – ₹6.5 LPA salary package Lucrative monthly and quarterly incentives Upskilling opportunities with paid certifications and industry webinars Access to internal sales masterclasses Health insurance and performance bonus Key Skills B2B Communication, Sales Pitching & Consultative Selling, Negotiation & Objection Handling, CRM & Pipeline Management, Industry Knowledge & Domain Adaptability, Client Centricity & Service Orientation, Time & Priority Management Apply now

Role Overview We are seeking a medically trained individual (B.Sc./M.Sc. in Life Sciences, Medical Lab Tech, or MBBS/BDS with interest in diagnostics) to support our hematology research, hospital studies, and regulatory documentation. The role is hands-on and ideal for someone comfortable working at the intersection of labs, hospitals, and research. Preferred Qualifications Background in hematology, pathology, or medical laboratory sciences Experience working in a diagnostic lab, hospital, or device testing setup Comfort with using microscopes, blood smear prep, and interpreting test results Good communication skills in English and Hindi; comfortable talking to doctors Prior exposure to regulatory, ISO, or hospital studies a plus Familiarity with research documentation and medical writing is an advantage  Key Responsibilities Hematology Expertise Bring theoretical and practical understanding of blood parameters, cell types, and CBC reporting Interpret hematological results and support training the AI algorithms Annotation & AI Training Support Help annotate blood cell data; will be trained if not already skilled Work with software and data teams for AI model training Hospital & Clinical Study Execution Coordinate and conduct hands-on studies in partner hospitals Interact with doctors, lab techs, and staff to ensure proper protocol implementation Documentation for Regulatory Approvals Maintain and organise all medical records, results, and analysis Collaborate with regulatory consultants on CDSCO submissions and ISO13485 audits, focusing on medical and clinical aspects Medical Affairs & Liaison Communicate effectively with healthcare professionals, pathologists, and hospital stakeholders Represent Adsys during clinical feedback sessions and demos

Job Description: Position Title: Project Manager – HD Mapping Department: Delivery – AV/ADAS Mapping Services Location: Kolkata or Coimbatore Reporting To: Senior Program Manager / AV Delivery Lead Level: Middle Management Role Summary: We are seeking an experienced and detail-oriented Project Manager – HD Mapping to lead the delivery of high-quality mapping services for AV/ADAS clients. The ideal candidate will manage end-to-end operations for one or more HD mapping workflows involving base map generation, semantic annotation, context mapping, stitching, and maintenance tasks. This includes managing a team of annotators, reviewers, and QA specialists to ensure timely, accurate, and scalable delivery. Key Responsibilities: Project & Delivery Management: Plan, track, and deliver mapping projects as per client requirements and defined SLAs Develop and manage detailed workflow schedules and staffing plans across annotation, review, and QA layers Ensure adherence to SOPs, QA processes, and tool usage guidelines Own project metrics including accuracy, productivity, throughput, utilization, and turnaround times Team Leadership: Manage day-to-day performance of team leads, annotators, and reviewers Conduct regular stand-ups, performance reviews, and feedback loops Support training coordination for new workflows and skill upgrades Identify and mentor high-potential team members for lateral mobility Client & Stakeholder Coordination: Serve as primary point of contact for client delivery managers on assigned workflows Coordinate periodic reviews, sample audits, and feedback incorporation Escalate risks, deviations, or blockers proactively with mitigation plans Process Improvement: Drive continuous improvement initiatives for quality, cycle time, and cost efficiency Collaborate with QA and L&D teams to refine SOPs and training content Identify automation or tooling enhancement opportunities in mapping workflows Reporting & Documentation: Maintain daily/weekly/monthly dashboards for internal and client-facing metrics Document project retrospectives and process changes Ensure proper version control and configuration management of annotated data Required Qualifications: Bachelor’s degree in Engineering, GIS, Computer Science, or related field 4–7 years of experience in project or delivery management, preferably in AV/ADAS, GIS, or data services Experience managing large teams (50+ members) in shift-based operations Exposure to HD mapping workflows – LiDAR, semantic labeling, map QA, stitching preferred Key Skills: Strong understanding of AV mapping pipelines and data annotation lifecycle Familiarity with tools such as QGIS, RoadRunner, proprietary annotation platforms Excellent organizational, analytical, and communication skills Hands-on experience with project management tools (e.g., JIRA, Trello, Asana) Ability to operate in fast-paced, deadline-driven environments Preferred Attributes: Certifications in PMP, PRINCE2, or Agile methodology Exposure to client-facing roles and global delivery environments Familiarity with SLAM, LiDAR point cloud concepts, or HD Map schemas (OpenDRIVE, Lanelet2)

Company Description SAI leverages machine vision AI on top of existing CCTV feeds to help retailers prevent theft, recapture lost sales, and improve operational effectiveness while enhancing customer and employee safety. Our platform is robust enough for large retail stores and streamlined enough for convenience outlets. Role Description This is a full-time hybrid role for a Data Annotator located in the Kolkata metropolitan area, with some work from home acceptable. The Data Annotator will be responsible for labeling and categorizing data, maintaining data quality, and ensuring that annotations meet the specified guidelines. The individual will work closely with the machine learning team to help improve the AI's accuracy and effectiveness. Must have Video analysis skills(Cut, Merge) Video Qualifications Proficiency in Video analysis(cutting of event based video and merging) Must have the experience of real time Data Annotation Strong Analytical Skills and experience in Data Modeling Attention to detail and high level of accuracy Ability to work both independently and as part of a team in a hybrid work environment Annotation experience 1-2 years

· 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 Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 18 to 22 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: * Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities * Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics * Prepares data in business meetings/reviews and presents to senior managers and stakeholders * Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management * Owns and prioritizes work allocation based on business needs with a daily/monthly frequency * Owns the output quality of the process managed * Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions * Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas * Participates and provides adequate support in business reviews with mid-level and senior leadership * Participates in new- process onboarding, i.e., new process/ experiments with complete documentation * Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. * Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions * Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism * Provides regular coaching and feedback to direct reports * Devises and implements performance improvement plans for associates as applicable * Identifies and works with top performers for talent development and creates a leadership pipeline for own level * Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau 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.

About Highspot Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd. While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets. About The Role You will safeguard the quality of our AI and GenAI features by evaluating model outputs, creating “golden” datasets, and guiding continuous improvements in collaboration with data scientists and engineers. Be the guide to the team as the team creates a robust methodology and framework that will drive evaluation of hundreds of AI agents. Responsibilities Validate AI Output – Review model results across text, documents, audio, and video; flag errors and improvement opportunities. Create Golden Datasets – Build and maintain high-quality reference data with help from subject-matter experts. Data Annotation – Accurately label multi-modal data and perform light preprocessing (e.g., text cleanup, image resizing). Quality Analytics – Run accuracy metrics, trend analyses, and clustering to gauge model performance. Fine-Tune Model Code – Adjust training scripts and parameters to boost accuracy and keep behavior consistent across models. Process Improvement & Documentation – Refine annotation workflows and keep clear records of methods, findings, and best practices. Cross-Functional Collaboration – Partner with ML engineers, product managers, and QA peers to ship reliable, user-ready features. Required Qualifications 2 to 4 years of experience in data science/AI/ML. Specific experience in evaluation of AI results is strongly preferred Working knowledge of AI/ML evaluation techniques Solid analytical skills and meticulous attention to detail. Bachelor’s or Master’s in Computer Science, Data Science, or a related field. Strong English written and verbal communication. Self-directed, organized, and comfortable with ambiguous problem spaces. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.

Company Description SoftSensor.ai LLC is a data-&-AI innovation studio twice recognized in the DataIQ 100 for Most Innovative Solutions and Best Team to Work With (Vendor Side) . Alongside bespoke AI consulting, we operate PRR.AI —our flagship Medical AI platform that combines multimodal AI models with a human-in-the-loop workflow for high-volume medical and life-science data. PRR.AI powers: Digital Pathology & Radiology – whole-slide or DICOM image ingestion, smart region-of-interest detection, stain normalization, and AI-assisted tumor grading. Clinical Document Validation – OCR + LLM pipelines for batch-manufacturing records (BMRs), clinical notes, and regulatory dossiers. Multimodal Research Datasets – embryo-quality prediction, IVF outcome modeling, and vision-language damage detection for medical devices & vehicles. SoftSensor + PRR.AI give clinicians, data scientists, and regulators a shared workspace where AI predictions are auditable, explainable, and continuously improved. Our culture blends clinical depth , data-science rigor , and product craftsmanship with flexible remote work hubs in Bengaluru, Hyderabad, and Gurgaon. Role Overview You will be a clinical domain expert inside our AI product pipeline, splitting time between AI consulting projects and PRR.AI platform operations. Key Responsibilities Clinical Data Curation Use the PRR.AI interface to label or validate entities across slides, radiographs, lab reports, and BMR pages. Define new ontologies and QA rules that drive PRR.AI’s auto-validation engine. Model Evaluation & Feedback Loops Run test sets through vision-language models (e.g., LLaMA Vision, GPT-4o) and document false-positives/negatives inside PRR.AI’s error-tracking boards. Recommend prompt tweaks and fine-tuning strategies to ML engineers. Knowledge Engineering & Prompt Design Translate clinical SOPs and regulatory guidelines into structured prompts or rule-based checks used by PRR.AI’s “Guardrails” module to flag contraindications or process deviations. Stakeholder Collaboration Act as clinical liaison for pharma clients adopting PRR.AI in GxP settings; conduct onboarding webinars and draft medical validation reports. Partner with product & UX teams to refine the PRR.AI reviewer workflow (hot-keys, bulk actions, keyboard navigation) and minimize cognitive load. Regulatory & Quality Assurance Maintain audit-ready documentation (dataset lineage, annotation protocols, validation metrics) to support ISO 13485 / GAMP 5 / CDSCO-NDCT & FDA 21 CFR Part 11 compliance. Minimum Qualifications MBBS from an NMC-recognized institution. MBBS + MBA is a bonus point 0–3 years internship, clinical practice, or health-informatics experience. Strong grasp of medical terminology, ICD-10/11, drug classes, basic biostatistics. Clear English communication and ability to explain clinical nuances to non-medical peers. Awareness of HIPAA, GDPR, DPDP India, and data-integrity principles (ALCOA+). What We Offer Competitive pay (fixed salary for FTE; hourly rates for part-time) + Variable Comp Group medical insurance Sponsored upskilling—Coursera “AI in Healthcare”, Azure Health Data Services, etc. Direct impact on products used by pathologists, IVF specialists, and pharma QA teams worldwide. How to Apply Email your CV (PDF) and a short note answering: A clinical workflow you believe AI + human review (like PRR.AI) could transform. A dataset or paper that excites you and why. Send to hr@softsensor.ai with the subject: “Medical AI Analyst – [Full-time/Part-time] – Your Name” Rolling interviews begin 15 July 2025 . Positions remain open until filled.

Job Title- Annotation Analyst (1- Year Apprenticeship Program) Location: Gandhinagar, Ahmedabad Department: Data Operations Contract Type: Apprenticeship (1 Year, Full-Time) Stipend: 2,50,00 Per Annum Start Date: 29th July 2025 Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Strong attention to detail and visual-sapital understanding Able to commit to a 1-year contract , with availability for a full-time onsite role Basic understanding of image editing or annotation tools Comfortable working in a non voice, back office environment Good problem solving skills and a proactive approach to quality control Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Familiarity with Floor Plan, interior layouts Knowledge of 3D modelling or related software tools Requirements: Education Qualification: Any Graduate, Post Graduate graduating in 2025 are eligible to apply Any graduate with certification done in AutoCAD or VFX or Graphic Designing or Photoshop Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Working model: 24/7 (Work from Office) Work schedule: Must be open to work in night shifts and rotational weekends Perks and Benefits Stipend- 2.50 LPA - 3.0 LPA Medicare Benefits Both side cab facilities. Medical Insurance Life Insurance

Job Description Job Title: Project Lead – Annotation Location: Office-Based (Ahmedabad, India) About Us Hitech is a leading provider of Engineering, BIM, and Business Process Solutions. With over 1,200 team members and a growing global presence, we deliver innovative digital and business transformation solutions to clients across the USA, UK, and India. Our Data Annotation & AI Enablement practice supports AI model training and human feedback loops across large-scale computer vision, NLP, and generative AI use cases. As part of our expansion, we are looking for a capable and experienced Project Lead – Annotation to drive execution excellence in our data labeling programs. Position Summary As a Project Lead – Annotation, you will be responsible for leading large, distributed teams—both internal and vendor-based—in delivering high-quality annotated datasets for AI and machine learning projects. You will oversee end-to-end project execution, define annotation workflows, configure QA pipelines, and ensure consistent throughput and data accuracy. This role requires a strong blend of team leadership, process orientation, and hands-on technical know-how of annotation platforms and data labeling tools. The ideal candidate is a structured thinker, effective communicator, and passionate about enabling AI development through precise human-in-the-loop data handling. Key Responsibilities Lead and manage large annotation teams, including third-party vendors and remote contributors Assign tasks, define milestones, track progress, and manage workloads to ensure on-time delivery Motivate and train team members, fostering a culture of ownership and continuous improvement Draft and maintain clear annotation guidelines and ensure adherence across the team Design and implement QA strategies to monitor and enhance data quality and consistency Optimize workflows, review loops, and escalation paths to improve labeling efficiency Collaborate with cross-functional teams including product managers, engineers, and QA leads Propose and implement process improvements to enhance throughput and accuracy Monitor metrics, analyze team performance, and recommend corrective actions Utilize collaboration tools to manage distributed workflows effectively Qualifications & Experience Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, or a related field 3–6 years of experience leading data or annotation projects, with proven experience managing distributed teams Hands-on experience with annotation tools such as Label box, CVAT, or other custom labeling platforms Strong understanding of data formats such as JSON, XML, YOLO, CSV, and COCO Experience in configuring QA workflows, writing annotation guidelines, and driving performance-based output Knowledge of AI and machine learning concepts, including RLHF (Reinforcement Learning from Human Feedback) Excellent communication and interpersonal skills to work with global teams and clients Strong problem-solving, organizational, and multitasking skills

Why CDM Smith? CDM Smith provides lasting and integrated solutions in water, environment, transportation, energy and facilities to public and private clients worldwide. As a full-service consulting, engineering, construction, and operations firm, we deliver exceptional client service, quality results and enduring value across the entire project life cycle. Job Description The Civil 3D Modeler is expected to perform variety of design/drafting activities including preparing/updating plan/profile drawings for pipeline, road alignment, grading using corridor modelling, pressure/gravity pipe network and ground terrain modelling. Also, Civil 3d Modeler, should establish guidelines and procedures for standards to be used on project following to Client requirement. Should be proficient using AutoCAD Civil 3D in following areas; Terrain modeling and surface water management projects and studies Understanding of Storm Water Design and Hydrology Knowledge of Data Shortcuts Pressure and Gravity Pipe Network Design Grading design using Corridor modeling Production of drawings for construction purpose Integrating Civil 3D output with another BIM softwares like Revit and Plant 3D Proficiency also includes a strong understanding of Civil 3D Annotation styles and annotation tools, object and label styles, solid understanding of key objects such as Surfaces, Alignments, Profiles, Profile Views, Surface Analyses and Volume Calculations, and a basic understanding of Feature Lines. Implement innovative approach to reduce drawing production cost and hours. Efficient use/plugins for integrating other applications (HEC-RAS, Storm CAD, Water/Sewer GEMS etc.) to generate drawings based on specific project requirement. Ability to define problems, collect data, establish facts, and draw valid conclusions. Attending client coordination and review meetings, preparing and presenting project status updates and supporting Project Lead/Team Lead in engineering-related tasks. Implement Safety and Quality aspects into design. Travel to abroad/other offices in India for project and assignments etc. Minimum Qualifications ME or BE in Civil/Environmental Engineering (Preferred) Autodesk AutoCAD Civil 3D Certified Professional Minimum 5+ years of relevant experience Excellent written and oral communication skills Independent player with high self-motivation Experience on International Projects will be added advantage Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit TSU Group GTSG Assignment Category Fulltime-Regular Employment Type Regular

Role Java Full Stack Engineer - Associate -BackendNote: These strategic AR have been raised for the Citi requirement.Essential Skills: Total IT Experience 4 to 7 years with in-depth knowledge and hands-on experience in Java, Spring Framework, REST API, Microservices, JPA, Hibernate and Unit testing. 4+ years of in-depth knowledge in core Java, spring frameworks, hibernate, SOAP and REST API. Strong experience in spring boot, key annotations and configurations, REST API and development and good knowledge in Microservice concepts Strong experience in REST Http services design using Swagger/Open API. Work experience in frameworks/ modules like Spring Core , Spring MVC, Spring AOP, Spring Batch and Spring Data 2+ years of experience with SQL Server / PostgreSQL / MySQL or any RDBMS integration using JPA-Hibernate and SQL tasks i.e. writing stored procedures, complex SQLs, performance tuning, handling transactions. Strong experience in Java script, jQuery, Bootstrap, Html 5, CSS3. Working knowledge of Webpack, CLI and Agile Scrum framework. Good unit testing knowledge. Good to have knowledge in one of the cloud platforms like AWS/Azure/PCF. Familiar with Continuous Integration methodologies and tools, including Jenkins. Good to have: Exposure to Docker, Kubernetes, and cloud deployment. Good to have experience in Angular. Excellent Communication and Presentation skills.

Description The Visual Annotation Services team within Amazon Fashion Tech powers new products that deliver various CXs, using ML/AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle. We're the team that thrives in a start-up like environment where flexibility, teamwork and ability to deliver solutions are a priority. You will have the opportunity to conceptualize, design and build AI driven experiences across the Amazon retail website and the Amazon Shopping mobile app. You will collaborate with various partner teams throughout Amazon and you will be a key member of a team that's building innovative new experiences that will change customers' lives. Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage in a rapidly changing industry, this position is right for you. We offer a creative, fast paced, entrepreneurial work environment where you’ll be driving various innovation at Amazon. We are looking for a Operations Manager to build out and lead a team of annotation experts and SMEs, who are fashion specialists, working closely with counterparts in the United States. The team you build will annotate fashion images to provide data to train algorithms for fashion experiences across Amazon. The successful candidate will have a strong passion for fashion, tech, a relentless desire to drive process improvement, and build a great team culture. Key job responsibilities Building out, leading, and developing a team of program managers and fashion specialists Building strategy for the team, setting clear goals and vision for initiatives Managing individual and team performance expectations and goals Working with third-party agencies and recruiting to recruit team members and onboard new hires Partnering with our training lead to develop and train Fashion Specialists and team managers and understanding and effectively utilize resources provided by internal systems, departments, policies, and procedures Developing our team practices and managing our workforce to create an exciting, supportive, ambitious and innovative culture Understanding different local fashion trends and deep diving into Amazon customers’ fashion preferences, and using this information to develop new styling strategies Delivering results quickly with little supervision in a dynamic and often ambiguous environment. Communicating effectively, including verbal and written skills, and influencing across levels Demonstrating strong business acumen, including problem solving skills, critical thinking, and a willingness to be vocally self-critical Basic Qualifications Bachelor degree on fashion domain or any graduation with 5+ years related experience 3 + years demonstrating success managing a team with a track record of driving high performance Experience in fashion Strong oral (speaking, listening, interpretation) and written communication skills Strong analytical skills; you are someone who wants to dive into the numbers and seek to understand and has depth of experience in Excel Experience in understanding performance metrics and developing them, as required Demonstrated history delivering results in cross-functional environments; ability to drive organizational change using sound reasoning backed up by relevant data in a well-prepared business briefing A sense of urgency and an appreciation for working in a fast-paced, deadline-oriented environment Comfort with ambiguity; ability to be flexible in a rapidly changing environment Preferred Qualifications Exposure to process improvement/quality control tools and methods. Exceptional skills in data manipulation and analysis. Capacity planning. Proficiency in writing and understanding code. 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 - Karnataka - A66 Job ID: A2950912

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Design and develop large-scale machine learning models systems Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. - Basic Qualifications - Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. - Preferred Qualifications - 2+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.