1559 Labeling Jobs - Page 5

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. Life at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. Life at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

We are looking for a diligent and detail-oriented Store Executive to manage store operations, and data entry using Busy software in our food manufacturing facility. The ideal candidate will ensure the accurate tracking, timely movement, and proper storage of raw materials, packaging materials, while maintaining compliance with food safety and quality standards. Key Responsibilities Inventory Management: Receive, inspect, and store raw materials, packaging materials, and finished goods in an organized manner. Ensure timely issuance of materials to production as per requisitions. Conduct regular physical stock counts and reconcile with system records. Monitor storage conditions to comply with food safety, FIFO, and FEFO standards. Data Entry and Documentation: Accurately record all stock movements in Busy software (GRN, issue slips, stock transfers, dispatches, etc.). Maintain up-to-date inventory records, stock ledgers, and reporting in Busy. Ensure all stock entries are supported with proper documentation like purchase invoices, requisition forms, etc. Store Operations: Oversee loading, unloading, stacking, and safe handling of materials. Maintain cleanliness, hygiene, and order in the store area. Assist in internal and external audits by providing accurate stock data. Compliance: Follow GSP (Good Storage Practices) and food safety standards. Ensure proper segregation, labeling, and storage as per product category. Ensure all store activities comply with company policies and regulatory requirements. Key Skills and Competencies: Strong knowledge of inventory management and storekeeping practices. Understanding of FIFO, FEFO, and food safety storage guidelines. Good computer skills (MS Excel, Word, Email handling). Strong attention to detail and accuracy. Good communication and coordination skills. Work Hours & Shifts: 10 hrs Day & night.

JOB BRIEF Handles product packing, coordinates dispatch, manages logistics, ensures timely deliveries, maintains shipment records, and upholds packaging quality and safety standards in a fast-paced environment. PRIMARY RESPONSIBILITY 1. Pack Products Accurately – Ensure correct, safe, and damage-free packing of goods. 2. Manage Order Dispatch – Coordinate timely dispatch of orders as per schedule. 3. Logistics Coordination – Liaise with courier and transport partners for smooth deliveries. 4. Maintain Records – Keep accurate records of packed items, dispatches, and inventory. 5. Ensure Quality & Safety – Follow packaging standards and workplace safety protocols. EDUCATION a. Minimum Education :- High School (10th or 12th Pass) or equivalent. EXPERIENCE a. Minimum Experience :- 3 years b. Minimum Experience :- 1 Years in Books BEHAVIOURAL SKILLS: 1. Attention to Detail – Ensures accurate packing and labeling. 2. Time Management – Meets dispatch deadlines efficiently. 3. Teamwork – Works well with warehouse and logistics teams. 4. Reliability – Consistently follows schedules and responsibilities. 5. Problem-Solving – Handles delays or packing issues calmly and effectively. TECHNICAL SKILLS: 1. Knowledge of Packing Materials & Methods – Uses appropriate materials for safe packaging. 2. Inventory Management – Familiarity with stock tracking and record-keeping. 3. Logistics Coordination – Understanding of courier/transport processes. 4. Quality & Safety Compliance – Adheres to packaging standards and safety protocols. PREFFERED SKILLS: 1. Basic Computer – Use of MS Excel, ERP, or inventory software, is preferred 2. Diploma or Certification – In Logistics, Supply Chain Management, or Warehouse Operations.

ey Responsibilities: Order Fulfillment: Selecting items from warehouse shelves based on order specifications. Inventory Management: Using scanners and other tools to track inventory and ensure accuracy. Quality Control: Inspecting items for damage or discrepancies before packing. Packing: Securing items in appropriate packaging for shipment, including labeling and weighing. Restocking: Keeping shelves organized and stocked with merchandise. Safety and Organization: Maintaining a clean, safe, and organized work area. Teamwork: Collaborating with other team members to meet daily order fulfillment targets.

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Java expertise to review evaluations completed by data annotators assessing AI-generated Java code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Java code. Assess if the Java code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in Java development, QA, or code review. Strong knowledge of Java syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep R expertise to review evaluations completed by data annotators assessing AI-generated R code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated R code. Assess if the R code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in R development, QA, or code review. Strong knowledge of R syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your R expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

Basic Function Be responsible for activities include line start up, product verification, labeling, weighing stitching and stacking Continuously improve performance on safety, quality and productivity Roles & Responsibilities Assure daily operation is in line with HSE requirement. Keep good housekeeping in Shop floor to maintain workplace in a required basic condition. Manage the day to day activities include line start up, changeovers, Weighing scale verification, labeling, weighing sealing and Stacking with quality of product. Ensure Zero error in weighing of FG & reduce pellet loss. Responsible for recording to verify each and every finished bags such as cross contamination, stitching and stacking of finished Goods with zero defect in Quality of product. Recording data as per audit requirements of ISO : 9001 : 2015, IATF 16949 : 2016, EMS 14001 : 2015 and MIS reporting (daily, weekly and monthly). Performs the duties of the handover in the production department Min. Qualifications Diploma in any Engineering stream from reputed college. Work Experience 1 - 2 years' experience of relevant industries. Critical Competencies/Behaviors Prudent and enthusiastic. Physical and mental health-You should be physically and mentally fit to perform your job responsibility. Colour blindness- you should not have colour blindness. Competencies Build Partnerships Deliver Results Drive Innovation Grow Capabilities Promote Inclusion Motivational Fit Technical Skills

Welcome to Radin Health A premier Healthcare IT Software as a Service (SaaS) provider specializing in revolutionizing radiology workflow processes. Our cloud-based solutions encompass Radiology Information Systems (RIS), Picture Archiving and Communication Systems (PACS), Voice Dictation (Dictation AI) and Radiologist Workflow Management (RADIN Select), all powered by Artificial Intelligence. We are an innovative, forward-thinking Company with AI-Powered Solutions. Join Our Team! We Are Looking for Talent We are seeking a highly skilled AI Engineer with proven experience in healthcare document intelligence. You will lead the development and optimization of machine learning models for document classification and OCR-based data extraction , helping us extract structured data from prescriptions, insurance cards, consent forms, orders, and other medical records. You will be part of a fast-paced, cross-functional team working to integrate AI seamlessly into healthcare operations while maintaining the highest standards of accuracy, security, and compliance. Key Responsibilities Model Development: Design, train, and deploy ML/DL models for classifying healthcare documents and extracting structured data (e.g., patient info, insurance details, physician names, procedures). OCR Integration & Tuning: Work with OCR engines like Tesseract, AWS Textract, or Google Vision to extract text from scanned images and PDFs, enhancing accuracy via post-processing and pre-processing techniques. Document Classification: Build and refine document classification models using supervised learning and NLP techniques, with real-world noisy healthcare data. Data Labeling & Annotation: Create tools and workflows for large-scale labeling; collaborate with clinical experts and data annotators to improve model precision. Model Evaluation & Improvement: Measure model performance using precision, recall, F1 scores, and deploy improvements based on real-world production feedback. Pipeline Development: Build scalable ML pipelines for training, validation, inference, and monitoring using frameworks like PyTorch, TensorFlow, and MLFlow. Collaboration: Work closely with backend engineers, product managers, and QA teams to integrate models into healthcare products and workflows. Required Skills & Qualifications Bachelor's or Master’s in Computer Science, AI, Data Science, or related field. 7+ years experience in machine learning, with at least 3 years in healthcare AI applications. Strong experience with OCR technologies (Tesseract, AWS Textract, Azure Form Recognizer, Google Vision API). Proven track record in training and deploying classification models for healthcare documents. Experience with Python (NumPy, Pandas, Scikit-learn), deep learning frameworks (PyTorch, TensorFlow), and NLP libraries (spaCy, Hugging Face, etc.). Understanding of HIPAA-compliant data handling and healthcare terminology. Familiarity with real-world document types such as referrals, AOBs, insurance cards, and physician notes. Preferred Qualifications Experience working with noisy scanned documents and handwritten text. Exposure to EHR/EMR systems and HL7/FHIR integration. Knowledge of labeling tools like Label Studio or Prodigy. Experience with active learning or human-in-the-loop systems. Contributions to healthcare AI research or open-source projects.

MAIN PURPOSE OF ROLE Specialist professional individual contributor with comprehensive knowledge in the area of Regulatory Affairs. Ability to execute highly complex or specialized projects. Adapts precedent and may make significant departures from traditional approaches to develop solutions. Main Responsibilities As the Specialist in the Regulatory Affairs Sub-Function, considered as highly experienced and knowledgeable resource within the organization in directing development of product registration submission, progress reports, supplements, amendments, or periodic experience reports. Interacts with regulatory agency to expedite approval of pending registration. Serves as regulatory liaison throughout product lifecycle. Participates in some of the following: product plan development and implementation, regulatory strategy, risk management, chemistry manufacturing control (CMC). Ensures timely approval of new drugs, biologics or medical devices and continued approval of marketed products. Serves as regulatory representative to marketing, research teams and regulatory agencies. Advises development and/or marketing teams on manufacturing changes, line extensions, technical labeling, appropriate regulations and interpretations Qualifications Education Associates Degree (± 13 years) Experience/Background Minimum 7 years

About The Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. Basic Qualifications 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. Preferred Qualifications Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

Job Description To follow the safety rules in the premises according to the company norms. To ensure timely completion of SOPs training and on the job trainings related to production department. To review and maintain the training related log books in the department. To Coordinate new joiners for internal and cross functional trainings in coordination with cross functional departments. To coordinate with QA documentation cell for issuance of required documents and submission of completed documents. To prepare the SOP index, Equipment index and format index as per the frequency of QA001, QA007and QA002. To update the schedule manager for SOP related activities (to update SOP effective dates). To upload the SOPs in AIMS (Amneal information management software). To close the training record of employees who left the organization. Preparation of cGMP planner for contractual employees of production department. Operation and cleaning of visual inspection table and Operation of Lux meter. Responsible for Operation and cleaning of Automatic visual inspection machine and X-RAY inspection machine. Responsible to perform visual inspection of the products /media filled vials or PFS as per the sop. Responsible for Maintenance of cleaning in visual inspection. Activities other than defined in the job responsibility are to be done, as per the requirement of HOD, by Following HODs instructions and guidance. Monitoring of DP, RH and temperature area in their visual inspection and packing area. Responsible for Maintenance of cleaning in visual inspection and packing area. To maintain the BMRs and other log books in the visual inspection and packing area as per cGMP and SOP. Operation and cleaning of dynamic pass box in visual inspection and packing area. Responsible for Operation and Cleaning of Wrap around labeling machine, Autocartonator machine, Online check weigher, track and trace system, Bopp taping machine with weighing balance and PFS packing area machines. Responsible for Dispensing, checking and receiving of the packing materials from warehouse on need basis. Responsible for labeling and packing of products as per BPR. Responsible for timely completion of calibrations and validations in coordination with EN and QA related to visual inspection and packing area. To handle Quality Management Documents like Change Control, Deviation etc. Job Description Version No:4 Generated By/On: Sanjay Mukhekar [309175] 24-May-2025 12:47:40 PM This is system generated document hence signature is not required. 1 JOB RESPONSIBILITY To prepare Failure Investigation Reports against Quality impacting deviations, Out-of- Specifications and Non-Conformances. To ensure investigations are evaluated and closed out in a timely manner to meet business needs. Responsible for cGMP compliance related to CAPA implementation and to ensure the timely closure of CAPA. To review, develop and introduce systems, practices and cultural changes that enable the department to meet business demands within agreed time frames and expected GXP standards. To perform risk analysis for different process or procedures and implement necessessory mitigation plans through Quality Risk Management (QRM). To provide direct input or coaching support for other functional groups in investigations. To prepare and review of Standard Operating Procedures / Protocols. To perform Gap analysis of defined procedures in Batch Manufacturing Record / Batch Packing Record / Standard Operating Procedure / Protocol and initiation of corrective actions. To participate in Regulatory & Customer Audits. To prepare BMR and BPR. Timely completion of SOPs training and On the job trainings related to respective area Qualifications Qualification - B.Pharmacy, M.Pharmacy About Us Amneal is an Equal Opportunity Employer that does not discriminate on the basis of sex, age, race, color, creed, religion, national origin, sexual orientation, gender identity, genetic information, disability, veteran status, liability for service in the U.S. Armed Forces or any other characteristic protected by applicable federal, state, or local laws. About The Team The Human Resources team partners with all aspects of the organization, driving success through the effective and innovative management of people for both current and future business needs. Key Roles That The Human Resources Team Performs Executive Role: Specialists in all aspects of people management. High-level input at strategic level into all key business decisions. Audit Role: Ensures all areas of the organization are compliant with legal requirements AND best practice employment policies and procedures. Facilitator Role: Close partnership to support, advise and extend the ability of all areas of the organization to meet their objectives through implementation of highly effective employment practices in areas such as Talent Acquisition, Learning and Development, Reward systems, Performance Management, Health and Wellbeing. Consultancy Role: Provide expert advice to the organization and it’s managers on any aspect of workforce management and employee relations and performance. Service Role: Ensure the organization is fully aware of and is equipped to deal with developments impacting employment matters, such as changes in legislation, changes in the characteristics of the labor market.

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri’s R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2702

Job Title: Graphic Designer Location: Vikhroli, Mumbai, Maharashtra Department: Design / Creative / Product Development Job Purpose: To conceptualize and create visually compelling designs for heat transfer labels and other branding materials, aligned with client specifications and industry standards. The Graphic Designer will collaborate closely with merchandising, production, and development teams to ensure timely and accurate execution of design requirements. Key Responsibilities: Design Development Client Collaboration: Technical File Preparation Production Coordination Trend & Innovation Awareness Contribute creative ideas to enhance the label/product design offering Key Skills & Competencies: Proficiency in Adobe Creative Suite (Illustrator, Photoshop, InDesign); knowledge of CorelDRAW is a plus Good understanding of print processes, color theory, typography, and layout principles Ability to translate creative briefs into production-ready designs Attention to detail, visual accuracy, and file organization Strong time management and the ability to handle multiple projects Communication skills to explain design rationale and collaborate effectively Qualifications & Experience: Bachelor’s Degree or Diploma in Graphic Design, Visual Communication, or related field 1–3 years of experience in a design role, preferably in printing, labeling, apparel, or packaging Working Conditions: Full-time role based at Vikhroli, Mumbai Job Types: Full-time, Permanent Pay: ₹10,531.57 - ₹30,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Job location -Belguim Pharmacist for Belgium Full job description Key Responsibilities: Dispense Medications: Accurately dispense prescription medications to patients, ensuring correct dosage, labeling, and documentation in compliance with regulatory standards. Patient Counseling: Provide comprehensive counseling on medication use, including dosage instructions, potential side effects, drug interactions, and storage recommendations. Medication Management: Monitor and manage medication therapy, ensuring that patients are adhering to their prescribed treatment plans and adjusting therapies when necessary. Collaborate with Healthcare Teams: Work closely with physicians, nurses, and other healthcare professionals to ensure the proper selection and administration of medications. Review Prescriptions: Verify prescriptions for accuracy, potential drug interactions, and contraindications, resolving any issues with the prescriber if necessary. Inventory Management: Oversee the ordering, storage, and stocking of medications, ensuring that supplies are maintained in compliance with legal and safety standards. Regulatory Compliance: Ensure adherence to all local, state, and federal regulations related to the dispensing of medications and the operation of a pharmacy. Pharmacovigilance: Monitor patients for adverse drug reactions and report these to the relevant authorities as required. Patient Education: Provide information on health conditions, disease prevention, and the proper use of non-prescription products. Quality Assurance: Participate in pharmacy quality improvement initiatives and contribute to the development of policies and procedures for safe and effective medication use. Qualifications: Education: Bpharm/Dpharm degree or equivalent from an accredited institution. Licensure: Valid pharmacist license required Experience: Prior experience in a retail, hospital, or clinical pharmacy setting preferred. Skills: Strong attention to detail and accuracy. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong organizational and time-management skills. Knowledge of drug therapy, pharmacology, and medication safety practices. Work Environment: Work may be performed in a retail pharmacy, hospital, or clinic setting. May involve standing for long periods and interacting directly with patients and healthcare providers. Ability to manage a fast-paced, high-pressure environment with a focus on patient safety and care. Key Competencies: Attention to Detail: Ensure accuracy in prescription dispensing and patient records. Communication: Effectively communicate with both healthcare professionals and patients. Problem Solving: Identify and resolve medication-related issues. Ethical Judgment: Uphold ethical standards in medication dispensing and patient care. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Education: Bachelor's (Preferred) License/Certification: PHARMACY REGISTRATION CERTIFICATE (Require) .Contact @ +91 8281914152 Job Types: Full-time, Permanent Pay: ₹18,086.00 - ₹30,419.22 per month Benefits: Health insurance Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Commission pay Overtime pay Performance bonus Shift allowance Yearly bonus Education: Diploma (Required) Experience: Basic computer: 1 year (Required) total work: 1 year (Required) Pharmacist: 1 year (Required) Language: English (Preferred) License/Certification: Registered Pharmacist - (Required) CFP (Preferred) Work Location: In person

Job description Company Overview: We are one of the pioneers in the field of advanced medical diagnostics in Trivandrum. The organization is well-reputed for its professionalism and for precise diagnosis. We are hiring a Public Relation officer to be based at Medical College, Trivandrum. Job Title: Phlebotomy (Blood Collection) Executive Experience: DMLT under DME (Diploma in Medical Laboratory Technology) Freshers can apply For Non-DME (+2 Science): Minimum 1 year of experience in blood collection Qualification: DMLT under DME (Diploma in Medical Laboratory Technology) OR +2 Science with relevant experience Location: Thiruvananthapuram Salary: ₹8,000 per month Age Limit : Below 35 Yrs Key Responsibilities: Perform blood sample collection from patients at the lab or in the field/home settings. Ensure accurate labeling, documentation, and safe transportation of collected samples. Maintain hygienic and sterile environment during sample collection. Adhere to all phlebotomy protocols and safety guidelines. Coordinate with laboratory and support staff for timely processing of samples. Eligibility Criteria: Must have a valid two-wheeler driving license and own a two-wheeler. Willingness to work in rotational shift duties between 6:00 AM and 8:00 PM . Good communication and patient-handling skills. Basic understanding of phlebotomy procedures and equipment handling. Preferred Attributes: Punctual, detail-oriented, and reliable. Friendly and respectful approach towards patients Job Type: Full-time Pay: From ₹10,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person Application Deadline: 05/07/2025

Role Overview: We are looking for a meticulous and proactive Purchase Executive to join our team. The ideal candidate will play a crucial role in inventory management, ensuring efficient material procurement, stock monitoring, and overall flow of inwards and outwards goods. Key Responsibilities: Purchasing & Procurement: Source and procure a range of IT and electronic products including laptops, Desktop, Servers, hard drives (HDDs), cables, wires, networking equipment, and accessories. Research and negotiate with suppliers for competitive pricing. Prepare and issue purchase orders. Ensure timely delivery of goods and services. Inventory Management: Monitor stock levels and maintain optimal inventory. Conduct regular stock audits to ensure accuracy. Maintain records of goods received and issued. Inwards & Outwards Coordination: Manage and document material inwards and outwards. Coordinate with warehouse and logistics teams for smooth operations. Ensure proper labeling and storage of goods. Vendor & Team Collaboration: Build strong relationships with suppliers and vendors. Collaborate with internal departments for material requirements. Provide regular updates on stock levels to stakeholders. Key Skills & Attributes: Proficiency in inventory management systems and Zoho software. Strong negotiation and communication skills. Attention to detail and problem-solving abilities. Ability to work under pressure and meet deadlines. Basic understanding of procurement and supply chain management. Why Join Us? Work in a dynamic and growing organization. Opportunity for professional growth and development. Be part of a supportive and collaborative team. How to Apply: If you are excited to contribute to a thriving organization, send your updated resume to marketing@multilink.in or contact us at whatsapp-9903352111 Job Types: Full-time, Permanent Pay: ₹22,000.00 - ₹30,000.00 per month Schedule: Day shift Application Question(s): "Do you have hands-on experience in purchasing IT products such as laptops, desktops, routers, switches, and other hardware components? Education: Higher Secondary(12th Pass) (Preferred) Experience: total work: 2 years (Required) Location: New Delhi, Delhi (Required) Work Location: In person Application Deadline: 10/04/2025

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Job Summary: We are looking for a passionate and detail-oriented Junior R&D Executive to support our product innovation and formulation activities. The candidate will assist in developing new beverage recipes, conducting trials, ensuring documentation, and supporting scale-up in production. Key Responsibilities: ● Assist in the formulation and development of new beverages including functional drinks, kombucha, iced teas, and probiotic products ● Conduct lab trials, ingredient testing, and maintain accurate documentation ● Support senior R&D personnel in pilot-scale and commercial batch trials ● Help evaluate stability, taste, sensory profile, and shelf-life of products ● Maintain hygienic lab practices and ensure compliance with FSSAI and internal standards ● Coordinate with procurement for samples and ingredient data sheets ● Record trial observations and prepare reports for internal evaluation ● Work closely with the QA/QC and production teams during new product development ● Stay updated with industry trends and new ingredients Skills Required: ● Basic understanding of food chemistry, microbiology, and beverage formulation ● Familiarity with lab equipment and food safety protocols ● Good documentation and observation skills ● Willingness to learn and take initiative ● Basic knowledge of FSSAI labeling and compliance is a plus ● Strong communication and coordination abilities Connect to Better Reach: +91-9211311226 We are prioritizing candidates within close proximity to Kamla Nagar, North Delhi Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Internet reimbursement Schedule: Day shift Fixed shift Morning shift Work Location: In person Speak with the employer +91 9211311226

About the Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. - Basic Qualifications - 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. - Preferred Qualifications - Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

Job Summary: The Store Executive is responsible for overseeing the day-to-day operations of the retail store, ensuring a smooth customer experience, maintaining inventory accuracy, and meeting sales targets. This role requires a proactive, customer-centric approach combined with strong organizational skills and attention to detail. Key Responsibilities: Maintain proper records of inward and outward materials (raw materials, consumables, components). Ensure accurate stock entries in system/software (Excel, Google Sheet , Tally, etc.). Support production team with timely issuance of materials. Perform daily stock audits and reconcile differences if any. Ensure proper stacking, tagging, and labeling of store items. Manage physical verification of store inventory monthly. Handle GRN (Goods Receipt Note), Issue Slips, and return documents. Follow 5S and safety practices in the store area. Maintains Job Cards. Keep an accurate record of scrap being generated. Take physical stock on month end and submit a detailed report of the same. Qualifications: Education: High school diploma or equivalent. A bachelor's degree in business or a related field is preferred. Experience: 1-3 years of experience in retail or store operations. Skills: Strong communication and interpersonal skills. Ability to multitask and manage time efficiently. Excellent problem-solving skills and attention to detail. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹30,001.14 per month Schedule: Day shift Work Location: In person

Background The Hans Foundation (THF), established in 2009, is a Public Charitable Trust that works towards creating an equitable society to enhance quality of life for all through the empowerment of marginalized and underprivileged communities in India. The Hans Foundation works for the Health and Wellbeing of remote and under-served groups, with an additional focus on children, persons with disabilities and women. THF also works for holistic Education and Livelihood development of our communities. Our Two-Fold Strategy involves identifying working within Aspirational Districts and high poverty index in the North, North-East and East regions within specific states, as well as catering to lower-income and migratory populations in cities, through urban programs. Over its 15 years of existence, THF has reached more than 35 million beneficiaries through its programs. THF works with communities through direct implementation of projects on the ground in addition to providing local management and monitoring support to not-for-profit organizations in India funded through THF USA and RIST. GENERAL Location of Job: Chouparan Hazaribagh Type of Employment: Contractual for 3 month only Designation : Junior Pharmacist No. of Position: 1 Projects: PHC Reporting to: Project Manager Job Summary: Pharmacist will be responsible for preparing and administering appropriate pharmaceuticals to patients. She/he achieves this by executing a physician’s order. The job entails a high level of responsibility and knowledge. A pharmacist does not merely hand out prescribed medicine; he/she has the expertise and willingness to assist people and provide them with information and solutions. Duties and Responsibilities: Organize the pharmacy in an efficient manner to make the identification of products easier and faster; Maintain full control over delivering, stocking and labeling medicine and other products and monitor their condition to prevent expiring or deterioration; Review and execute physician’s prescriptions checking their appropriateness and legality; Listen carefully to customers to interpret their needs and issues and offer information and advice; Provide assistance other medical services such as injections, blood pressure/ temperature measurements etc.; Keep records of patient history and of all activities regarding heavy medication; Comply with all applicable legal rules, regulations and procedures; Liaoning with other healthcare personnel / medical officers to supply and receive relevant information about the background and progress of patients, as well as to refer order for progress to be made. Assist the coordinator health/ medical officers during routine mobile OPD / health camps or in time of emergency. Undertake any other duties assigned time to by Coordinating Office management Certification is must for the role THF is an equal opportunity employer that encourages women, people with disabilities and those from economically and socially excluded communities with the requisite skills and qualifications to apply for positions. We do not discriminate in employment on the basis of caste, creed, religion, sex, sexual orientation, marital status, disability, or any other such matter.

Pastry Production: Assist in preparation, baking, finishing, and decorating a wide range of pastries, cakes, cookies, and desserts. Follow standardized recipes and maintain product consistency. Ensure all baked goods meet the quality and aesthetic standards of the brand. Maintain hygiene, food safety, and cleanliness standards during production. Supervisory Duties: Oversee junior staff and kitchen helpers, ensuring assigned tasks are completed efficiently. Train and guide new team members on recipes, techniques, and kitchen protocols. Maintain discipline, hygiene, and orderliness in the kitchen. Ensure that all staff are following company systems, recipes, and safety guidelines. Communicate effectively with the management regarding staff performance or operational challenges. Inventory & Stock Management: Monitor daily stock levels of raw materials, packaging, and consumables. Maintain accurate inventory records; conduct routine stock checks. Place requisitions for raw materials and packaging in advance to avoid shortages. Ensure proper storage of ingredients with correct labeling and FIFO (First-In-First-Out) method. Minimize wastage by monitoring usage and reporting any discrepancies. Maintain proper documentation for incoming and outgoing stock. Required Skills & Qualities: ✔ Basic knowledge of pastry production and techniques. ✔ Strong sense of responsibility and ownership. ✔ Leadership skills to manage junior staff and ensure task delegation. ✔ Excellent organizational and time-management skills. ✔ Proficient in fondant, chocolate work and breads. ✔ Ability to maintain high standards of cleanliness and hygiene. ✔ Positive attitude and willingness to learn and take initiative. ✔ Good communication skills (verbal & written) Eligibility Criteria: Minimum 1-2 years of experience in pastry or bakery production (freshers with strong learning intent may be considered). Prior experience in supervisory or inventory management roles is a bonus. Familiarity with bakery or patisserie environment preferred. Experience in fondant, chocolate and bread work is a must. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹20,000.00 per month Schedule: Day shift Weekend availability Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Baking: 1 year (Required) Location: Noida, Uttar Pradesh (Preferred) Shift availability: Day Shift (Preferred) Work Location: In person Expected Start Date: 01/09/2025

Job Title: Merchandiser Location: Vikhroli, Mumbai, Maharashtra Department: Sales / Marketing / Operations Reports To: Senior Merchandiser / Production Head / Sales Manager Job Purpose: To act as the key liaison between clients, design, production, and logistics teams to ensure timely and accurate execution of orders for heat transfer labels. The Merchandiser is responsible for handling sampling, costing, client communication, production coordination, and ensuring customer satisfaction through efficient order management. Key Responsibilities: Client Coordination: Communicate with domestic/international buyers regarding product requirements, approvals, and order updates Understand client specifications and translate them into actionable briefs for design and production teams Sampling & Development: Coordinate with the design team for artwork creation, sample development, and approvals Ensure timely dispatch of samples and follow-up for feedback and confirmation Order Management: Track order execution from confirmation to delivery Prepare and maintain production schedules, coordinate with production/planning for timely delivery Costing & Negotiation: Prepare costing sheets and quotes based on client requirements and internal pricing guidelines Support the sales team in price negotiation and order finalization Documentation & Reporting: Maintain records of orders, approvals, artwork, invoices, and shipping documentation Prepare regular reports on order status, delays, and client communication for management review Quality & Compliance: Coordinate with quality assurance team to ensure client standards are met Assist in resolving quality-related issues or rejections with internal teams Key Skills & Competencies: Strong communication and coordination skills Knowledge of printing/labeling processes preferred (especially heat transfer labels) Good understanding of textile/apparel merchandising workflows Proficient in MS Office (Excel, Word, Outlook) Attention to detail and ability to handle multiple tasks simultaneously Familiarity with ERP/Order Management Systems is an advantage Qualifications & Experience: Bachelor’s Degree or Diploma in Fashion Technology, Textile Design, Apparel Merchandising, or related field 1–3 years of relevant experience in merchandising, preferably in labels, trims, or garment accessories Freshers with strong communication and internship experience in merchandising may also apply Working Conditions: Full-time position Office-based role with occasional visits to the production floor or vendor locations Some client interaction may occur outside of regular working hours Job Types: Full-time, Permanent Pay: ₹12,468.12 - ₹30,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Vikhroli, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Willingness to travel: 100% (Preferred) Work Location: In person

Key Responsibilities: ONLY GARMENT INDUSTRY EXPERIENCE CANDIDATE CAN APPLY Maintain optimal inventory levels of raw materials, work-in-progress (WIP), and finished uniforms. Monitor inventory movements and update records in inventory management software (ERP/WMS). Plan and forecast material requirements based on production schedules and sales orders. Conduct regular physical stock audits and reconcile variances. Manage inward and outward material processes, including GRN, issue slips, and dispatches. Coordinate with the production, procurement, and dispatch teams for smooth workflow. Implement and maintain FIFO/LIFO systems based on material type and shelf life. Ensure proper labeling, storage, and handling of inventory to avoid damage or misplacement. Maintain reports such as daily stock, slow-moving/obsolete inventory, consumption vs production, etc. Identify and report any stock discrepancies, pilferage, or wastage. Ensure compliance with company policies and industry standards in inventory handling. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Morning shift Work Location: In person