1433 Annotation Jobs - Page 6

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA 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 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 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. Job details IND, AP, Hyderabad IND, TN, Chennai Corporate Operations

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 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. 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.

Key Responsibilities Annotate medical images with labels, segmentation masks, bounding boxes, or other metadata. Tag anatomical structures, abnormalities, and clinical findings. Evaluate and validate AI-generated predictions on medical data. Collaborate with healthcare professionals (radiologists, pathologists, clinicians) to ensure clinical accuracy. Follow strict annotation protocols and quality standards. Provide feedback to improve annotation tools and workflows. Maintain detailed documentation of annotation tasks and guidelines 3 2 4. Required Skills Medical Knowledge: Understanding of anatomy, pathology, and medical imaging modalities. Technical Proficiency: Experience with annotation tools and software Attention to Detail: High accuracy in labeling and categorization. Communication: Ability to collaborate with cross-functional teams and explain annotation decisions. Adaptability: Comfortable with repetitive tasks and able to meet deadlines consistently32. Preferred Qualifications Bachelor’s degree in Biology, Biomedical Engineering, Bioinformatics, Computer Science, or a related field. Familiarity with medical terminology and clinical workflows. Prior experience in medical imaging, healthcare Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid time off Schedule: Day shift Work Location: In person

Job Summary: Bigwigs Technologies is hiring a GIS LiDAR Analyst to join our geospatial team in Subramaniyapuram, Trichy. The ideal candidate will work on processing and analyzing LiDAR (Light Detection and Ranging) data and integrating it with GIS platforms to support mapping and data annotation projects. Key Responsibilities: Process and classify LiDAR point cloud data Create DEM, DSM, and other terrain models Annotate, filter, and manage LiDAR datasets Integrate GIS and LiDAR data using tools like ArcGIS/QGIS Maintain accuracy and quality in all outputs Support related data annotation and mapping tasks Eligibility Criteria: Any degree in Computer Science, Geography, or related field (BCA/B.Sc/B.E preferred) Basic knowledge of GIS software (ArcGIS, QGIS) Interest in LiDAR and spatial data analysis Freshers with relevant knowledge or training can apply Additional Skills (Preferred but not required): Knowledge of LiDAR processing tools like LAStools, Global Mapper, or LP360 Experience in data annotation or mapping projects Familiarity with 3D models and terrain analysis Perks: Growth opportunity in GIS & Data Tech domain On-the-job training for freshers Positive and collaborative work environment Job Type: Full-time Pay: Up to ₹15,000.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Work Location: In person

Key ResponsibilitiesGeneral Linguistic Tasks Support linguistic data collection and development of resources like lexicons and corpora Work with engineering teams to refine linguistic features and address language-specific challenges Provide linguistic analysis for model training, tuning, and error analysis ASR (Automatic Speech Recognition) Transcribe and annotate Gujarati audio with high accuracy Conduct quality checks on speech transcriptions and audio-text alignments Contribute to pronunciation lexicons and assist in acoustic model validation MT (Machine Translation) Translate text between Gujarati and English Review and post-edit machine-translated content for quality, accuracy, and fluency Develop and apply linguistic rules for improving translation output TTS (Text-to-Speech) Evaluate synthesized Gujarati speech for naturalness, clarity, and accuracy Perform text normalization and phonetic transcription for Gujarati content Assist in voice data validation and mapping phonemes to sounds Skills & Qualifications Bachelor's degree in Linguistics, Languages, or a related field Native or near-native fluency in Gujarati , with strong command of English 4–6 years of relevant experience in linguistics, NLP, or AI/ML language technologies Experience with tools for transcription, annotation, or translation is a plus Strong attention to detail and a passion for language technology Job Type: Permanent Pay: ₹600,000.00 - ₹1,300,000.00 per year Work Location: In person Speak with the employer +91 9877917759

Role: Head of AI We are seeking an exceptional Head of AI to lead the research, development, and deployment of advanced AI and ML models that power our SaaS platform. This leadership role demands a rare combination of deep technical expertise, product intuition, strategic thinking, and a strong ability to drive impact at scale. You will be at the forefront of transforming ambitious AI concepts into production-ready solutions that deliver real business value. Key Responsibilities ● Define and own the AI roadmap and strategy in alignment with product and business goals. ● Architect and build state-of-the-art AI/ML systems and pipelines that are robust, scalable, and maintainable. ● Lead and mentor a high-performing team of machine learning engineers, data scientists, and applied researchers. ● Work closely with engineering, product, and design teams to integrate AI solutions seamlessly into user-facing features. ● Explore and apply the latest advancements in NLP, LLMs, generative AI, and other relevant domains to enhance our core product. ● Oversee data collection, annotation, and governance processes to fuel AI innovation responsibly and ethically. ● Drive the AI vision and shape the core of a category-defining product. ● Work alongside industry pioneers in an environment that rewards initiative and innovation. ● End-to-end ownership, fast decision-making, and an opportunity to see your work in production quickly. ● Be part of an ambitious, collaborative, and fast-paced team pushing the frontiers of AI. ● Perks & Benefits: Gym membership, health insurance, company-sponsored lunches, and more.

Job Title: CAD Design Data Specialist – Mechanical/Industrial Engineering Location: On-site - Gurugram Job Type: Full-Time Job Overview: SoftAge is looking to hire Mechanical or Industrial Engineers with CAD expertise to contribute to a high-impact AI training project for a global client. Engineers will use standard CAD tools to execute realistic design tasks, record design actions, and annotate processes for training AI foundation models. Key Responsibilities: Perform hands-on mechanical and industrial design tasks using tools like Fusion 360 (F3D), SolidWorks, etc. Record all actions, design intent, and decisions in the required format during the design process. Evaluate existing CAD models and provide technical and/or aesthetic feedback as requested. Collaborate with internal leads and client team to follow task specifications accurately. Key Requirements: Bachelor’s Degree or equivalent in Mechanical Engineering, Industrial Design, or Industrial Engineering. Proficiency in CAD software such as Fusion 360, SolidWorks, or similar platforms. Ability to create and modify 3D CAD models with clarity of design intent. Experience in documenting design workflows and decisions is preferred. Good communication skills and ability to follow structured tasks. Prior experience in design annotation or working in AI data environments is a plus. Compensation & Benefits: Monthly Pay: 6LPA to 7.5LPA Opportunity to work on cutting-edge projects in AI and design automation Additional Information: All hired personnel must sign a confidentiality and invention assignment agreement approved by the client. This is an on-premise, project-based role. Performance and adherence to process quality will be closely monitored and audited. Interested candidates must fill out the form: https://forms.gle/Wtsy9XmXD1DZYWt89

Category: Software Development/ Engineering Main location: India, Tamil Nadu, Chennai Position ID: J0725-0909 Employment Type: Full Time Position Description: Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Experience: 7+ Yrs Work location: Chennai or Bangalore Employment Type: Full Time. Technical Skills Expertise in Java & Jakarta EE: Expert level proficiency in Java SE (minimum Java SE 11, preferred Java SE 17/21) Deep knowledge of Jakarta EE specifications, including JPA (EclipseLink), CDI, EJB, JAX-RS and Annotation Processing (Jakarta EE 10). Experience with Jakarta EE containers (WebSphere Liberty or similar). Cloud Platforms: Hands-on experience with cloud providers like AWS, Azure, or Google Cloud. Understanding of cloud-native development practices, including containers (Docker, Kubernetes) and serverless architectures. Asynchronous Programming: Proficiency in asynchronous programming paradigms using technologies like JMS, Kafka, or RabbitMQ. Familiarity with patterns to deal with asynchronous complexity like SAGA, command-response-pattern or inbox / outbox. Domain-Driven Design (DDD): Experience designing and implementing solutions following DDD principles. Strong understanding of strategic and tactical DDD, including bounded contexts, aggregates, entities, and repositories. Ability to translate principles like hexagonal architecture into practical software design. Distributed Systems: Knowledge of distributed system patterns like eventual consistency. Experience designing systems for high availability, scalability, and resilience in a cloud environment. APIs and Microservices: Proficiency in designing and developing RESTful APIs. Knowledge of microservices architecture like self-contained systems and tools like Quarkus or MicroProfile. Databases: Strong experience with relational databases (PostgreSQL). Deep understanding of central data modeling, transaction handling and concurrency control concepts. Knowledge of data storage best practices in distributed and asynchronous systems. Software Development Ecosystem: Hands-on experience of industry standard dev tools like source code management (Git), CI/CD (Jenkins, ArgoCD) and runtime tools (Docker / Podman). Architecture & Design Solution Architecture Ability to define and oversee the system’s architecture in line with the principles of DDD and cloud-based infrastructure. Experience in creating high-level and low-level designs, addressing scalability, maintainability, and performance. Event-Driven Architecture: Experience designing and building event-driven architectures, ensuring decoupling of services and efficient message passing. Security: Knowledge of security best practices and vulnerability prevention strategies in cloud environments. Team Leadership Mentorship: Ability to mentor junior and mid-level developers, guiding them through complex design and implementation challenges. Foster a culture of continuous learning and improvement within the development team. Collaboration: Strong collaboration with other teams (DevOps, QA, Product Management) to ensure alignment on technical and business goals. Experience working in agile development environments (Scrum/Kanban). Problem-Solving & Innovation Complex Problem-Solving: Ability to identify and solve complex technical problems, especially in areas related to system concurrency, data consistency, and distributed processing. Technical Innovation: Stay updated with the latest advancements in Jakarta EE, DDD, and cloud technologies, promoting their adoption when appropriate. Strong track record of driving innovation and introducing best practices. Soft Skills Strong Communication: Excellent verbal and written communication skills, able to convey technical ideas clearly and concisely to both technical and nontechnical stakeholders. Decision-Making: Ability to make well-informed decisions under pressure, particularly in high-stakes scenarios involving the production system. Adaptability: Comfortable with evolving technologies and environments, especially with the rapid changes in cloud and asynchronous systems CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Skills: Java Java Enterprise Editions JEE Spring Boot Application Design What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

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 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. Company - ADCI MAA 12 SEZ Job ID: A3041671

We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline. For one in the Seat: Responsibilities Organize, clean, and preprocess large-scale retail image datasets. Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg. Apply augmentation techniques and prepare datasets for training. Support in training YOLOv5/YOLOv8-based models on custom datasets. Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy). Collaborate with the product team to improve real-world inference quality. Document the dataset pipeline and share insights for improving data quality. Who we're looking for: Must Have: Basic understanding of Computer Vision concepts (Object Detection, Classification) Familiarity with Python (OpenCV, Pandas, NumPy) Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.) Ability to manage and organise large datasets Good to have: Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning) Exposure to image augmentation techniques (Albumentations, etc.) Understanding of retail/commercial shelf datasets or product detection problems Previous internship or project experience in computer vision is a plus

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 Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA 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. Company - ADCI - Haryana Job ID: A3041333

Description 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 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 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 Preferred Qualifications 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. Company - ADCI - Haryana Job ID: A3041337

Job Title: Senior Machine Learning Engineer Location: Chennai ,India Experience: 4-7 Years Company: Giggso India Pvt. Ltd. About Giggso Giggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence. We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases. Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements. Optimize machine learning model training and inference times. Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes. Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation. Define and develop ML infrastructure to enhance the efficiency of ML development workflows. Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions. Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Knowledge or experience in MLOps and ModelOps practices. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success. Why Join Us? Work on cutting-edge AI/ML technologies and real-world applications.. Mentorship and leadership opportunities to grow your career. Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!

Roles and Responsibilities Designate images according to project requirements. Label objects within images using appropriate tags and labels. Ensure accurate annotation of data points on images. Utilize expertise in image annotation tools such as Photoshop, Illustrator, etc. Collaborate with team members to meet project deadlines. Desired Candidate Profile 1-2 years of experience in data annotation or related field (image annotation). Strong understanding of image processing concepts and techniques. Proficiency in labeling software applications (e.g., Adobe Creative Suite) and tagging tools (e.g., Togaflex). Ability to work independently with minimal supervision while maintaining high accuracy standards.

Roles and Responsibilities Designate images according to project requirements. Label objects within images using appropriate tags and labels. Ensure accurate annotation of data points on images. Utilize expertise in image annotation tools such as Photoshop, Illustrator, etc. Collaborate with team members to meet project deadlines. Desired Candidate Profile 1-2 years of experience in data annotation or related field (image annotation). Strong understanding of image processing concepts and techniques. Proficiency in labeling software applications (e.g., Adobe Creative Suite) and tagging tools (e.g., Togaflex). Ability to work independently with minimal supervision while maintaining high accuracy standards.

Job Title: Team Lead - Projects Location: Hubli, Karnataka Position Summary We are looking for a proactive, people-oriented, and process-driven Team Lead to join our growing team in Hubli . The Team Lead will be responsible for managing project teams, ensuring high-quality output, maintaining client SLAs, and mentoring junior team members. This role is crucial in driving operational excellence and maintaining a culture of continuous improvement. Key Responsibilities Lead, mentor, and manage a team of data annotators or project executives. Ensure project deliverables meet client expectations in terms of quality, productivity, and timelines . Monitor and manage daily operations , team attendance, and workflow schedules. Provide regular updates and reports to internal stakeholders and managers. Train and upskill team members as per evolving project needs. Handle escalations, performance issues, and team motivation . Ensure compliance with iMerit’s quality standards and client SOPs . Coordinate with cross-functional teams such as HR, Training, Quality, and Delivery . Maintain an environment of trust, collaboration, and accountability. Qualifications and Requirements Graduate in any discipline (Bachelor’s degree required; technical background preferred). Minimum 2–4 years of experience in operations or team management, preferably in data projects, BPO/KPO, or tech-driven environments. Strong leadership and people management skills . Excellent communication and interpersonal skills . Ability to work under pressure and meet deadlines. Proficiency in MS Office (Excel, PowerPoint, Word) . Experience with data annotation tools or AI data projects is a plus. Willingness to work from Hubli office (on-site role). About iMerit At iMerit , we are at the forefront of the AI data revolution , powering the world’s most innovative technologies through high-quality data annotation. Our team of over 5,500+ full-time data experts delivers services across computer vision, NLP, data analytics , and more—supporting industries such as autonomous mobility, medical AI, agriculture, geospatial, and fintech . With a strong focus on impact sourcing , iMerit is committed to creating inclusive career paths in technology, especially for youth and women from underserved communities. Our offices are spread across India, Bhutan, and the US, and we’re proud to be trusted partners for leading global AI enterprises. Join us in shaping the future of AI, powered by people.

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.

Education Preference- Only B.tech CS/IT Graduate from the batch of 2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full-time, Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 26/07/2025

Education Preference- Only B.tech CS/IT Graduate from the batch of 2025/2024 Job Description- Key Responsibilities: Collect and curate large-scale botanical image datasets, including scraping from online sources and organizing local image repositories with proper structure and naming conventions. Manually annotate plant images with precision (leaf, flower, fruit, stem, etc.) using tools like CVAT, LabelImg, or Labelme, while ensuring consistency and reviewing for quality. Assist in the pre-processing of image data (e.g., resizing, filtering, normalization, and augmentation) and monitor automated pipelines for correctness and completeness. Help validate annotations and perform sanity checks through basic machine learning inference (e.g., verifying predictions from classification or segmentation models). Collaborate closely with ML teams to flag edge cases, improve annotation guidelines, and maintain high data hygiene throughout the pipeline. Requirements: Prior experience handling large-scale image datasets (ideally in the terabyte range) and a strong understanding of digital image formats and metadata handling. Knowledge of plant/botanical structures and ability to visually distinguish between different parts (e.g., leaf vs. flower), preferably with academic or project exposure. Proficiency in basic Python scripting — familiarity with os, pandas, opencv, Pillow and ability to automate repetitive data handling tasks. Understanding of image annotation workflows and tools (CVAT, LabelImg, Labelme), plus familiarity with pre-processing and augmentation techniques commonly used in computer vision. Basic exposure to machine learning concepts such as image classification, segmentation, and inference, along with the discipline to carry out repetitive annotation tasks with high accuracy. Job Types: Full-time, Internship Contract length: 3 months Pay: ₹7,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Monday to Friday Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 26/07/2025

Roles & 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 Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements : BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Good communication skills and the ability to work independently or in a team Freshers are eligible to apply for the role. Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 2.5 LPA - 3.0 LPA Medicare Benefits Both side cab facilities. Medical Insurance Life Insurance

Job Title: Data Annotator Duration: Full time role Location: Remote (India) Note: Data Annotation experience is MUST. Note: Need someone who can join immediately OR at least in 20-30 days Note: Need someone who can join immediately OR at least in 20-30 days Duties: We are seeking a motivated and enthusiastic individual to join our team as a Manual Tester. In this role, you will be responsible for performing various testing tasks, including data gathering, labeling, annotation, and quality assurance. The ideal candidate will have a strong attention to detail and willingness to learn. Responsibilities: Gather, label, and annotate data for use in testing software products. Develop and execute test plans and test cases to ensure that software products meet quality standards. Work closely with developers to identify and resolve defects or issues found during testing. Participate in the design and development of test strategies, test plans, and test cases. Collaborate with cross-functional teams to ensure that software products are delivered on time and meet customer requirements. Report and track defects or issues found during testing using defect tracking tools. Perform regression testing to ensure that defects have been resolved and that software products meet quality standards. Ensure that all testing is conducted in accordance with established testing procedures and standards. Skills: Strong attention to detail and willingness to learn. Basic knowledge of software testing methodologies and tools. Experience in data gathering, labeling, and annotation is a plus. Strong analytical skills with the ability to identify and report defects or issues. Strong communication skills with the ability to work effectively in a team environment. Ability to work independently with minimal supervision. Ability to prioritize and manage multiple tasks and assignments.

POSITION: AutoCAD Draughtsman - ELV / ELECTRICAL EXPERIENCE: Minimum 3 Years LOCATION: Calicut, Kerala JOB SPECIFICATIONS: • Diploma or bachelor’s degree in electrical / Electronics / Telecommunication Engineering or equivalent. • Minimum 2 years of hands-on experience in preparing ELV system shop drawings. • Strong proficiency in AutoCAD (2D essential, 3D preferred). • Sound knowledge of ELV systems: CCTV, Access Control, Fire Alarm, Public Address, Structured Cabling, BMS, and related technologies. • Familiarity with MEP coordination drawings, architectural layouts, and civil drawings. • Ability to interpret design documents, tender drawings, specifications, and BOQs. • Understanding of international standards for ELV drawings (e.g., NFPA, BICSI, BS, IEC). • Attention to detail and accuracy in drawing and documentation. • Effective communication and coordination skills with design, site, and consultant teams. • Ability to meet tight deadlines and handle multiple projects simultaneously. DUTIES AND RESPONSIBILITIES: Preparation of Shop Drawings • Produce accurate, coordinated, and detailed ELV shop drawings based on design drawings, project specifications, and consultant requirements. • Interpret design inputs, schematic diagrams, and technical documents and translate them into high-quality AutoCAD drawings. 2. As-Built Drawings and Revisions • Prepare as-built drawings based on redline mark-ups provided by the site engineers. • Incorporate site modifications and feedback from consultants and contractors. 3. Drawing Management • Maintain drawing logs and revision control sheets. • Organize drawing sheets according to submission standards and ensure proper layering, annotation, and title blocks. 4. Coordination and Clash Avoidance • Coordinate ELV drawings with architectural, structural, and other MEP disciplines. • Identify and resolve clashes or spatial issues in layouts before site execution. 5. Documentation and Schedules • Assist in creating: o Cable routing plans o Riser diagrams o Device layout plans o Panel connection diagrams o Cable schedules o Legends and symbols 6. Drawing Standardization and Libraries • Develop and maintain a standard block and symbol library for recurring ELV components. • Follow company drafting standards and assist in standardization of CAD practices. 7. Reporting and Support • Provide regular updates on drawing status to project engineers. • Ensure timely submission of drawings for approval and construction phases ABOUT US Technical Xperts Group (TXG) is an international technology resource provider with strong technical expertise and over a decade of experience. TXG is a venture of experts in engineering, design, communication, and management who have created histories in building the world’s best and most renowned landmarks. TXG is committed to delivering solutions and services for leading companies worldwide. We provide comprehensive engineering solutions, including architectural, Structural, MEP, and ELV services. Our BIM and CAD services have a vast area of experience in every aspect of BIM and CAD operations, offering an unparalleled quality standard of flexibility and services. These services include BIM services, BIM Engineering services, BIM consulting services, and CAD drafting services. The values we uphold are Quality, Teamwork, Precision, Excellence, Commitment, and Integrity. TXG is at the forefront of engineering, design, communication, and management. We are dedicated to creating the world's best and most admired landmarks. We are currently active in India, the UAE, and the Kingdom of Saudi Arabia (KSA). For more details, visit our website www.txglive.com

- 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 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 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 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. Company - ADCI - Karnataka - A66 Job ID: A3040162