1559 Labeling Jobs - Page 2

Leccy Controls Pvt Ltd , an ISO certified company, we develope and manufacture all type of PCC, MCC, VFD, APFC, AMF Electrical Control Panels. *NOTE: CURRENTLY VACANCY FOR MALE CANDIDATES ONLY. Designation: Control Panel Production Engineer Qualification: Diploma or BE Electrical Location: Gonde, Nashik Key Responsibilities: Supervision and Guidance: Supervise the assembly, wiring, and installation of control panels according to design specifications. Quality Control: Verify wiring against drawings, inspect for defects, and ensure proper labeling of components. Testing and Troubleshooting: Perform functionality tests on control panel components like PLCs, VFDs, and relays, and troubleshoot any issues. Documentation: Prepare test reports, inspection reports, and maintain technical documentation like wiring diagrams and manuals. Production Planning: Plan and schedule production activities to meet deadlines and optimize resource utilization. Process Improvement: Implement best practices and identify areas for improvement in the manufacturing process. Safety Compliance: Ensure adherence to safety standards and protocols during panel assembly and testing. Skills and Qualifications: Technical Knowledge: Strong understanding of electrical circuits, switchgear components, and wiring diagrams. Standards and Regulations: Familiarity with relevant standards like IEC-61439, IS, and ISO 9001 Problem-Solving: Ability to troubleshoot issues and find solutions during the production process. Communication: Effective communication skills to work with cross-functional teams and stakeholders. Leadership: Ability to lead and motivate production personnel. Education: Bachelor's degree or diploma in Electrical Engineering. Experience: Experience in electrical panel manufacturing, including assembly, wiring, and testing. Candidate can send their updated resume on : leccycontrols@gmail.com Job Types: Full-time, Permanent, Internship Pay: From ₹22,000.00 per month Benefits: Commuter assistance Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Nashik, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Application Deadline: 10/07/2025

This candidate is someone who is highly organized and detail-oriented to support end-to-end logistics and fulfillment operations across all channels. This role will manage inbound and outbound shipments, ensure compliance with retailer requirements, and drive timely, accurate order fulfillment through our 3PL partners. The ideal candidate thrives in a fast-paced environment and is passionate about optimizing operations to control cost and improve service. Key Responsibilities: ✈️ Inbound to Stock Manage end-to-end inbound shipment bookings between international suppliers, freight forwarders, and customs brokers Coordinate and monitor inbound shipments from suppliers to 3PL warehouses Track and coordinate the timely receiving of inbound goods, working closely with warehouse teams; ensure stock is received and available within SLA timelines Manage shipment bookings and work with freight brokers and suppliers to ensure timely and cost-effective deliveries Issue and manage RFQs with freight brokers Actual tasks include but are not limited to the following Create/manage and share ASN with 3PL Liaise with planning to apply correct ship mode and manage to ETA Resolve receipt discrepancies and quality issues ✈️ Omni Channels Fulfillment and Outbound Oversee fulfillment and outbound of DTC, wholesale, and retail/marketplace orders, ensuring accuracy and timeliness across all channels Maintain updated knowledge of each retailer's inbound routing guide and compliance requirements to prevent chargebacks or rejections Monitor 3PL performance to ensure accurate and on-time fulfillment, including pack out and labeling requirements Monitor orders flowing through different systems (eComm platform, ERP, EDI portals) and resolve order routing or data sync issues; ensure fulfillment and delivery date are maintained Partner with 3PLs to track daily ship-out performance and escalate issues proactively to prevent SLA misses Collaborate with Customer Service and Sales to ensure priority orders and special handling requests are executed correctly Actual tasks include but are not limited to the following Create and follow through transfer orders Release retailers' unique labels to 3PL Work with 3PL on unique retailers' packaging and packing requirements Work with internal and 3PL partners on bundle and kit programs, ensuring accurate execution 📦 Inventory Management Inventory management, including resolving cycle and physical count discrepancies/adjustments 3PL SKU maintenance Monitor and ensure prompt execution of returns, coordinate Cin7 update Maintain outbound packaging inventory stock 📦 Others Track inbound/outbound freight and 3PL expenses, ensuring they remain within budget Identify opportunities to reduce logistics costs while maintaining service levels Monthly KPI reporting Invoice processing/approvals (Non-Marketing Relating) Sample order creation Requirements Required Qualifications: 4 years of experience in operations, logistics, or supply chain within fashion, apparel, or consumer goods Proven experience working with retailers and marketplaces, with strong knowledge of EDI, routing guides, and chargeback prevention Solid understanding of international freight, customs brokerage, and warehouse receiving Proficient in ERP (e.g., NetSuite, Cin7), OMS, Shopify (or similar platforms), and major EDI systems (e.g., SPS Commerce). Proficiency with Excel and logistics systems (e.g., WMS, OMS, ERP platforms) Exceptionally organized with strong attention to detail and a proactive problem-solver mentality Excellent communication skills and ability to coordinate across internal and external stakeholders Benefits This is a contract position

Key Responsibilities: Monitor daily stock, track inventory movement, and maintain accurate records. Conduct regular physical stock counts. Coordinate with procurement and teams for stock requirements and demand planning. Manage inventory in software system and ensure timely data entry. Ensure proper storage, labeling, and categorization of all inventory items. Develop and maintain reports on stock, reorder status. Handle inward and outward inventory documentation and approvals. Minimize inventory losses through better tracking, documentation, and preventive measures. Support audits and stock verifications as per internal policies. Ensure compliance with safety and quality standards in inventory handling. Requirements: Bachelor’s degree. 0–3 years of experience in inventory/store/warehouse management. Working knowledge of inventory software (e.g., Tally, SAP, Zoho Inventory). Strong analytical and problem-solving skills. Good communication and coordination abilities. Proficient in MS Excel and data entry. Ability to work independently and meet deadlines. Job Type: Full-time Pay: ₹12,000.00 - ₹18,000.00 per month Schedule: Day shift Ability to commute/relocate: Khatodara, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Location: Khatodara, Surat, Gujarat (Preferred) Work Location: In person

Urgent Hiring || Regulatory Affairs Specialist || Mumbai Designation : Regulatory Affairs Specialist Qualifications: Bachelor's degree in a scientific discipline, such as pharmacy, biology, or chemistry Experience : Min 3 years Salary : upto 3 LPA (Depend on the interview) Location : Sandhurst Road Mumbai - Head office Essential Duties and Responsibilities : Regulatory Compliance : Ensure company products comply with relevant regulatory requirements, such as USFDA, FDA, EMA, and local regulations. Submission Management : Prepare and submit regulatory documents, such as INDs, NDAs, and MAAs, to regulatory agencies. Regulatory Strategy : Develop and implement regulatory strategies to support product development and commercialization. Regulatory Intelligence : Stay up-to-date with changing regulatory requirements and provide guidance to internal stakeholders. Audits and Inspections : Coordinate and manage regulatory audits and inspections. Labeling and Advertising : Review and approve product labeling and advertising materials for regulatory compliance. Regulatory Agency Interactions : Communicate with regulatory agencies, such as the FDA, to address questions and concerns. Regulatory Documentation : Maintain and manage regulatory documents, such as regulatory submissions, approvals, and correspondence. Training and Guidance : Provide regulatory training and guidance to internal stakeholders. Compliance Monitoring : Monitor company activities for compliance with regulatory requirements.

Company Description Raj Innotech Pvt. Ltd. is a leading company specializing in the manufacturing, supplying, and exporting of various water and beverage production projects, including Water Treatment Projects, Mineral Water Projects, RTS Juice Turnkey Projects, Synthetic Juice Projects, and Carbonated Soft Drink Turnkey Projects. We offer comprehensive solutions for rinsing, filling, capping, packaging, and labeling for different container types like PET bottles, pouches, cans, and glass. Our products adhere to the highest industry standards and undergo rigorous quality testing. Established in 2004 and headquartered in Rajkot, Gujarat, we have a global clientele and an advanced manufacturing unit certified with ISO 9001:2008. Role Description This is a full-time on-site role located in Rajkot for a Fabrication Supervisor. The Fabrication Supervisor will be responsible for overseeing day-to-day fabrication activities, ensuring high-quality standards, and maintaining production schedules. Duties include supervising fabrication staff, coordinating with engineering teams, monitoring production processes, ensuring safety compliance, conducting quality checks, and troubleshooting any issues that arise during the fabrication process. Qualifications Experience in fabrication, welding, and metalwork Supervisory or team leadership experience Knowledge of industry safety standards and quality control procedures Ability to read and interpret engineering drawings and blueprints Strong organizational and time-management skills Excellent problem-solving and decision-making abilities Good communication skills in both written and verbal forms Proficiency in using fabrication equipment and tools Relevant technical certification or diploma in fabrication, welding, or related field

Technical Responsibilities Design and execute passive infrastructure: Fiber optics, Copper cabling, and CCTV networks Develop Top-Level and Low-Level Network Architecture documents Prepare GPON designs and handle port assignment documentation Conduct on-site surveys across Vadodara and nearby regions Use AutoCAD and MS Visio to prepare accurate network and layout diagrams Supervise rack setup, patch panel configurations, cable laying, labeling, and tagging Perform and document testing using Fluke Network Testers Troubleshoot and resolve issues related to passive infra Project Management Plan, monitor, and deliver projects as per defined timelines and budgets Manage internal coordination between Sales, Pre-Sales, Design, and Execution teams Maintain project trackers, generate weekly status reports, and communicate with stakeholders Ensure documentation of all phases including site audits, design, testing, and handover Lead UAT process and ensure client acceptance Site Oversight Oversee contractors and technicians during implementation at client sites Ensure materials are delivered, installed, and used as per design Maintain records of network faults, downtime, and resolution reports Adhere to safety protocols and customer compliance requirements Required Qualifications Bachelor’s degree in Engineering (Electronics, IT, or Computer Science) Minimum 2 years of experience in network infrastructure projects Must own a two-wheeler with valid license (mandatory for field travel in Vadodara & outskirts) Proficient in: AutoCAD & Microsoft Visio Fiber optic testing using Fluke testers Network layout planning and structured cabling standards Hands-on knowledge of CCTV system installations , server/data rooms, and passive infra components Excellent organizational, communication, and team coordination skills Preferred Skills Experience with GPON design and documentation Knowledge of industry-grade cabling brands (e.g., D-Link, Molex, Legrand, TE) Familiarity with project management tools like MS Project or Excel trackers Ability to train junior engineers and supervise field contractors Perks & Benefits Fixed Salary + Performance-Based Incentives Fuel allowance & mobile reimbursement for site visits Health insurance and statutory benefits On-the-job technical and project leadership training Work on high-visibility infrastructure projects across Gujarat Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Provident Fund Schedule: Day shift Work Location: In person

PARTS WAREHOUSE MANAGER LOCATION - SHAHEEDPATH LUCKNOW UTTAR PRADESH SALARY - 15 -17K EXPERIENCE - 1 YRS QUALIFICATION - GRADUATE KINDLY APPLY INTERESTED CANDIDATES. MAIL ID - HR.RISELEAD5@GMAIL.COM CONTACT NO. - 7068455582 The Parts Warehouse Manager is responsible for overseeing the daily operations of the parts warehouse, including inventory management, staff supervision, order processing, and maintaining an organized and efficient warehouse. This role ensures timely and accurate delivery of parts to customers or internal departments. Key Responsibilities: Supervise warehouse staff and manage daily workflow. Monitor and maintain accurate inventory levels of parts. Ensure proper storage, handling, and labeling of parts. Receive, inspect, and verify incoming shipments. Process and fulfill parts orders in a timely manner. Track parts usage and generate inventory reports. Ensure compliance with safety and cleanliness standards. Work with suppliers and vendors to manage stock levels. Conduct regular stock audits and cycle counts. Implement and maintain warehouse management systems (WMS). Train new staff and conduct performance evaluations. Coordinate with other departments (sales, service, purchasing). Required Qualifications: Bachelor’s degree or diploma in supply chain, logistics, or a related field (preferred). Proven experience in warehouse or inventory management. Knowledge of automotive, mechanical, or industrial parts (industry-specific). Strong leadership, organizational, and communication skills. Proficiency in inventory software or ERP systems. Ability to lift heavy items and operate warehouse equipment. Job Types: Full-time, Permanent, Fresher Pay: ₹14,000.00 - ₹16,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: On the road

Abad Builders, a vertical under the trusted ABAD Group, with a strong presence in Kerala for the last 27 years, invites applications from the right candidates who would like to advance professionally while meeting the goals-oriented growth of the company. Interested candidates may please send in your CV to careers@abadbuilders.com Person Specification Any degree + IOSH or NEBOSH certifications Minimum 5 years experience working as a Safety Officer in the construction industry ( with Builders / Contractors etc). KSA's (Knowledge, Skills and Abilities) Technical Proficiency & Excellent knowledge of MS Office Team Management skills Team Player Excellent leadership skills, and commitment to quality and efficiency. Leadership skills JOB ROLE 1. Hazard Identification and Risk Assessment: Identifying potential hazards in the workplace. Assessing the risks associated with those hazards. Developing strategies to mitigate or eliminate risks. 2. Policy and Procedure Development: Creating and implementing safety policies and procedures. Ensuring policies align with local, state and National Standards Updating policies as needed to reflect changes in regulations or organizational needs. 3. Training and Education: Conducting safety training for employees on various topics, including hazard recognition, emergency procedures, and safe work practices. Communicating safety information and promoting a culture of safety. 4. Compliance and Enforcement: Ensuring compliance with safety regulations and standards. Conducting regular inspections and audits to identify non-compliance. Enforcing safety rules and procedures when necessary. 5. Accident Investigation: Investigating workplace incidents to determine the root cause. Preparing reports and implementing corrective actions to prevent similar incidents from happening. 6. Emergency Management: Developing and implementing emergency response plans. Conducting drills and training to prepare employees for emergencies. 7. Other Responsibilities: Addressing employee concerns about safety. Ensuring the proper labeling and storage of hazardous substances. Monitoring contractor safety. Communicating with management and other stakeholders about safety matters Email to careers@abadbuilders.com

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. What The Candidate Will Do Define the key objectives for data labeling projects to support generative AI initiatives. Partner with stakeholders (Sourcing, Engagement, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria. Drive daily, weekly, and monthly meetings internally with the partner teams and externally with the customer. Design scalable data labeling workflows that leverage internal tools, external vendors, and automation. Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards. Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines. Implement robust quality assurance processes to validate labeled datasets against gold standards. Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements. Forecast resource requirements and ensure efficient allocation to meet deadlines. Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models. What The Candidate Will Need 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training. Experience working in a fast-paced, ambiguous work environment. Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs. Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders. Experience in Generative AI, including text, image, video or audio data labeling. Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems. Strong understanding of ethical AI and best practices for minimizing dataset bias. Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies.

General Responsibilities of Packaging Roles: Packing and Wrapping: Preparing items for shipment by placing them in appropriate containers, using materials like boxes, padding, and wrapping. Labeling: Applying labels with necessary information like product details, addresses, and barcodes. Quality Control: Inspecting items for damage or defects and ensuring they meet quality standards before packaging. Order Fulfillment: Locating and selecting items based on customer orders, often using barcodes or serial numbers. Inventory Management: Maintaining organized storage areas, keeping track of stock levels, and potentially assisting with inventory control. Equipment Operation: Using various packaging machinery, such as forklifts, pallet wrappers, and other automated systems. Safety Compliance: Following safety procedures and maintaining a clean, organized, and safe work environment. Documentation: Completing paperwork, recording shipment details, and potentially using order fulfillment software. Teamwork: Collaborating with other team members, supervisors, and potentially quality assurance teams. Types of Packaging Roles: Packer/Packager: Entry-level positions focused on the physical process of packing and preparing items for shipment. Packaging Operator: Operates and maintains packaging machinery, monitors the process, and ensures product quality. Packaging Specialist: Focuses on designing and developing packaging solutions, considering factors like cost, aesthetics, and product protection. Warehouse Packer/Picker Packer: Combines picking items from inventory and packing them for shipment, often in a warehouse setting. Packaging Engineer: Designs and develops packaging solutions, conducts feasibility studies, and improves packaging processes. Food Packaging Operative: Specializes in packaging food products, often in a production line setting.

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Summary As a Give support to Depot Pharmacists and Logistics Personnel in some operating tasks related to the Packaging Material Management. You will carry out the Standard Operating Procedures (SOPs) related to operating tasks involving packaging management. Responsibilities Accomplish the operating tasks related to the Packaging Material Management in the Clinical Trials Division, closely supervised by the Facility Logistics Manager (if applicable) or Depot Pharmacist. Be familiar with World Courier packaging methods and procedures. Comply with World Courier Standard Operating Procedures and protocols instructions concerning the reception, storage, picking and assembling of packaging containers used for the transport of Investigational Products and Clinical Trial Materials from World Courier Depot to sites. Support Operative tasks related to shipments such as packaging preparation, gel packs conditioning, box closing and labeling; Perform the reposition of gel packs inside freezers when necessary and identify the gel packs conditioning period following the packaging instructions of each particular protocol; To keep store and stock in an orderly and safe environment. Carry out the stock control of packaging material at the Depot. Organize the stock rotation in the packaging area. Get in direct contact with Operations personnel in order to coordinate the deliveries of packaging materials at the depot or at the warehouse where these materials are being stored. Perform any other duties the employee has been trained for. Requirements Excellent interpersonal relationships. Be able to take initiatives and responsibilities. Be tidy and organized. Carry out the stock control of packaging material at the Depot. Organize the stock rotation in the packaging area. Get in direct contact with Operations personnel in order to coordinate the deliveries of packaging materials at the depot or at the warehouse where these materials are being stored. Perform any other duties the employee has been trained for. What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time Affiliated Companies Affiliated Companies: World Courier (India) Private Limited Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About The Role Uber's mission is to be the platform of choice for flexible earning opportunities. GSS Tech at Uber is building marketplace and platform technologies that creates these truly global opportunities for knowledge work, e.g., data annotation, localization, testing, document processing, digitization of backend office work, maps data editing. Our marketplace connects underserved workers with external clients seeking top quality, cost-effective, and agile solutions for their knowledge work demand. An essential part of our marketplace is to build tools and platforms that empower knowledge workers to perform data annotation effectively. As the Product Manager for our Data Annotation Platform, you will lead the charge in building a competitive, worker centric product that transforms the labeling experience and enables high-quality, human-labeled data for the next generation of AI applications. You'll own the product roadmap, collaborate closely with engineering, data science, program managers and UX teams, and stay tuned to market needs and advancements in ML/AI technologies. Your work will ensure our platform remains the gold standard in the industry, with features that drive productivity, data quality, and AI readiness. If you're excited about building products that impact millions of people around the world, are passionate about driving efficiency, and thrive in an entrepreneurial environment, we'd love to hear from you! Together, we'll push the boundaries of what's possible in AI through the power of human input. What You Will Do ---- Conduct market research to understand trends, customer needs, and competitive landscape. Define product differentiation and competitive positioning strategies. Own the product roadmap, definition, and execution for building advanced applications that powers experience of knowledge workers and clients Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them. Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber's business objectives globally, at scale. What You Will Need ---- At least 4 years of experience in product management, with a history of delivering innovative and impactful products where your contributions are clearly evident. Demonstrated ability to collaborate effectively with both technical and non-technical teams, including executives. This role will require working closely with several key stakeholder groups across the organization. Deep focus on customer needs, with a talent for tackling complex product challenges and developing streamlined solutions that prevent unnecessary burden on users and partners. A proactive, entrepreneurial mindset and a strong desire to learn, supported by either an academic background or practical experience in fields like computer science, data science, product ops, economics, or engineering. Preferred Qualifications Customer obsession: Be passionate about understanding your customers' pain points, and building experiences to delight them. You can proudly showcase several examples of this. Experience building products from 0-1 Fulfillment and/or Marketplace experience with strong understanding of marketplace dynamics Strong analytical and experimentation background Persuasive communication and partnership skills- this will be an extremely cross-functional role, with stakeholder teams spanning multiple verticals globally

🔍 About the Role We’re looking for detail-oriented Image proofreaders to play a critical role in the development and training of our Vision AI models. In this position, you’ll be responsible for reviewing, validating, and flagging issues in large volumes of image data used to train machine learning models in areas such as healthcare, safety monitoring, and autonomous systems. Your work will directly impact the performance, accuracy, and reliability of real-world AI systems. If you have an eye for visual inconsistencies and enjoy working with data that feeds intelligent systems, we’d love to hear from you. 🎯 Key Responsibilities Review image datasets to ensure visual quality, relevance, and annotation accuracy for Vision AI training Flag corrupted, low-quality, or irrelevant images that could impact model performance Identify edge cases, visual artifacts, labeling inconsistencies, or environmental variations in images Work closely with data annotation teams to verify labeling integrity and provide feedback for corrections Apply pre-defined visual QA guidelines and help refine those standards as the datasets evolve Collaborate with machine learning engineers and data managers to understand model requirements and edge-case scenarios Assist in curating high-quality training datasets for supervised learning ✅ Required Skills & Experience Strong attention to visual detail - ability to notice subtle inconsistencies across large volumes of image data Basic understanding of computer vision concepts and how image quality impacts model training Experience in image review, visual QA, data labeling, or annotation validation Familiarity with image review tools, labeling platforms, or dataset management systems (e.g., CVAT, Supervisely, Labelbox, or custom pipelines) Ability to follow structured review processes and meet quality benchmarks Clear communication skills to document issues and provide structured feedback Willingness to work as per US time zone (Pacific Time). 💡 Preferred Qualifications Prior experience supporting a Vision AI or ML training pipeline Understanding of object detection, classification, segmentation, or video frame QA Familiarity with edge-case review processes and model failure mode identification Background in data ops, annotation, labeling QA, or data curation 🚀 Why Join Us? Be a key contributor to the success of AI systems deployed in impactful domains like healthcare, safety, and supply chain automation Work on real-world datasets that power production-grade Vision AI models Flexible, friendly work environment Opportunity to grow in the fields of AI operations, data QA, and computer vision 📩 Apply Now If you're passionate about quality, precision, and working at the intersection of human insight and machine learning, apply today with your resume and any relevant experience with image datasets or annotation workflows. Have any further questions or need help? Feel free to drop me a message on here.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in a technical project management or a customer-facing role. Experience with working in a operations role. Experience working in a human evaluation or data labeling environment. Preferred qualifications: Experience in partnering with engineers, product managers, product specialists or operations managers to drive product and process development. Experience in problem solving and tools (e.g., SQL) with the ability to work through datasets to draw insights and make recommendations. Ability to adapt, prioritize and manage time effectively in a fast-paced environment. Ability to build consensus and collaborate with cross-functional teams and internal stakeholders. Excellent communication skills, enabling effective collaboration with international teams. About the job The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Own product data streams, partner with subject matter experts to implement evaluations to production and collect data from teams, measure rater accuracy and agreement and iterate on data collection projects to improve quality or volume. Track data quality and operational Key Performance Indicator (KPIs) and perform analysis to drive improvement and troubleshoot issues. Work with stakeholders to understand data collection priorities and manage capacity planning and scheduling within budget. Work with global vendor raters, vendor managers and vendor trainers to identify gaps or issues in data collection and design and implement solutions to address them. Stay up-to-date on the latest data labeling methods, including human rater labeling and machine learning and make recommendations to cross-functional teammates on solutions for applications. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Experience : 10+ yrs Notice Period : Immediate - 15 days 6+ years of experience in SAP PLM, with a proven track record in implementation projects. Expertise in Specification Management, Recipe Development, PLM Labeling, and Workflow Management. Experience in Change Management processes within SAP PLM. Proficiency in integrating SAP PLM with third-party systems. Hands-on experience with PLM data modeling and data migration activities. Familiarity with S/4HANA upgrades and migrations is highly desirable. Strong background in FMCG and/or life sciences industries is a plus. Ability to manage PLM master data creation and configuration processes. Experience in system setup, release management, and incident handling for SAP PLM. if you are interested, please share your updated resume to Venkatesan.Selvam@gyansys.com

Senior Associate (Medical Coding) Location: Noida sector 62 (Onsite) Shift Timing: Night Shift 9:30 PM- 6:30 AM JOB: The role involves mapping clinical, laboratory, pharmacological, and other medical health terms to their corresponding concepts in standard medical terminologies, ensuring accurate representation of the source terms. Additionally, the position includes performing text labeling, data annotation, or image annotation tasks as assigned by the team. Qualification: Bachelor of Science in Nursing, Medicine, Medical Technology, and other allied health sciences. About company Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performance. We serve publishers, media & information companies, digital retailers, banks, insurance companies, government agencies and many other industries. We take a €technology-first€ approach, applying the most advanced technologies in innovative ways. Founded in 1988, we comprise a team of 5,000 diverse people in 8 countries who are fiercely dedicated to delivering services and solutions that help the world make better decisions.

Description AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications An Associate’s Degree or related work experience C1+ or equivalent fluency in German language Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Preferred Qualifications Speak, write, and read fluently in German Bachelor’s degree in a relevant field 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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 - H82 Job ID: A2906089

Description AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications An Associate’s Degree or related work experience C1+ or equivalent fluency in French language Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Preferred Qualifications Speak, write, and read fluently in French Bachelor’s degree in a relevant field 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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 - H82 Job ID: A2906070

Southeastern Grocers is committed to a culture of belonging and fostering an inclusive environment where we celebrate differences. As a great place to work , we empower everyone to be their full, authentic selves. Read our Belonging, Inclusion and Diversity Statement here . Bakery Associate Job Summary Job Purpose Assists in the daily operations of the bakery department. Increases customer confidence and loyalty by promoting and executing consistent and compliant operating conditions. Provides fresh and appealing products, courteous, knowledgeable and prompt service. Values diversity and supports an inclusive environment by embracing the backgrounds and experiences of the team. Essential Responsibilities Percent Of Responsibilities Responsibility % Of Time SERVICE: 60% Creates an environment that enables customers to feel welcome, important and appreciated that will increase customer confidence and loyalty. Delivers daily conditions that meet the company’s expectations for at shelf product availability, freshness, quality and value. Offers product samples, answers product questions and offers customers assistance in finding or suggesting products. Ensures customer requests and special orders are fulfilled. LEADERSHIP: 20% Promotes trust and respect among associates by collaborating, promoting teamwork, and communicating company, department, and job specific information. Adheres to all local, state, and federal laws, and company guidelines. FINANCIAL: 10% Maintains an awareness of inventory/stocking conditions and reports any discrepancies in inventory. Reviews/inspects products for quality and freshness and takes appropriate action with those items. Prepares, packages, labels, and displays products for sale. Utilizes production planning tools to accurately produce fresh products and ensures discarding or markdown processes are followed to reduce shrink. Ensures product is held at the proper temperature per food safety guidelines and retains documentation of temperate logs per policy. COMPLIANCE/SAFETY: 10% Ensures company standards for safety, proper food handling practices, sanitation and productivity are maintained. Adheres to all regulatory compliance requirements pertaining to food safety, United States Department of Agriculture (USDA) & Country of Origin Labeling (COOL), and Department of Agriculture (DOA). Executes all product recalls and withdrawals in a timely manner while ensuring all items are secured and removed from customer access. Reinforces safety programs by complying with safety procedures and inspects and identifies unsafe conditions to report to store management. Notifies management of customer or employee accidents. Reports all safety risk, or issues, and illegal activity, including robbery, theft or fraud. Ensures adherence to wage and hour policies and regulations. Cultivates a culture of safety within the store. Ensures self and all associates are working safely and have received necessary safety training. Ensures Hazardous Assessments are posted for associate reference and that Personal Protective Equipment is available and utilized by all associates executing tasks within the department, as required. Ensures equipment is in good repair; reports and assists with remediation (ex. lock out/tag out of equipment) of safety hazards within the department. Disclaimer Performs other job-related duties as assigned. Qualifications Required Education Required Required Education Course of Study N/A Preferred Education Preferred Education Course of Study High School / GED Language Requirements Language(s) Required Language(s) Preferred English Spanish Relevant Experience Relevant Experience Supervisory Experience 0 -3 yrs minimum Knowledge, Skills & Abilities Required Must be 18 years of age Authorization to work in the United States or the ability to obtain the same. Successful completion of pre-employment drug testing and background check. Strong customer service skills. Exceptional interpersonal, motivational and communication skills. Operate bakery equipment (e.g., slicer, oven, scale, knives, box cutter and pricing gun) according to company guidelines. Environmental Factors Environmental Factors Retail - Bakery: Physical Demands: While performing the essential functions of this position, the employee is regularly required to stand or walk on various types of flooring, utilize manual dexterity, talk, see, hear, smell and perform repetitive movements with both hands and/or both feet. The employee is frequently required to reach at waist level or overhead, carry, push, or lift various loads up to the required weights listed. The employee is occasionally required to sit, balance, stoop, kneel, crouch and climb up to 10 ft. Working Conditions: While performing the essential functions of this position, the employee may be exposed to working in indoor, outdoor, cold, freezing, heated, and wet/humid working conditions. Safety Risk Factors: The employee is frequently required to twist back and/or neck, walk on a slippery or cluttered floor surface, work with hazardous equipment and be exposed to sharp objects. The employee is occasionally required to be exposed to loud noise, skin irritants, nuisance dust, fumes and sprays, hazardous cleaning solutions and other toxins. Overall Required Equipment: cleaning supplies and equipment, general office equipment, register, pricing gun, scales, scanner, various material handling equipment, such as racks, carts, pallet jacks, shopping carts Department Specific Required Equipment: Powered cutting equipment, such as a slicers, saws, grinders, various knives, various ovens, stoves, rotisserie, fryers, steamers, proofer, wrapping equipment Preferred Equipment: baler/compactor, general hardware tools such as a ladder, pliers, wire cutters, box cutter Personal Protective Equipment: Goggles, Gloves, Cutting Gloves, Fryer Gloves, Oven Gloves, Back Brace Pulling Requirement: 250 lbs. Lifting Requirement: 35 lbs. Travel Percent & Overnight Travel Percent Overnight Occasional No Shift(s) Varied shifts.

Job Title: Store Keeper – Food Industry Location: Calicut, Kerala Experience Required: Minimum 1 year (specifically in the food industry) Gender Preference: Male Salary Range: ₹15,000 – ₹22,000 per month Industry: Food & Beverage / Food Processing / Hospitality Key Responsibilities: Receive, inspect, and store food items and supplies in compliance with hygiene and safety standards. Maintain accurate inventory records and update stock levels regularly. Follow FIFO (First-In, First-Out) and FEFO (First-Expired, First-Out) principles in stock rotation. Ensure proper labeling, packaging, and storage of perishable and non-perishable items. Monitor temperature and storage conditions as per food safety norms. Coordinate with procurement and kitchen/production teams for timely stock issuance and replenishment. Conduct daily/weekly stock audits and report discrepancies. Maintain cleanliness and orderliness of the storage area as per food safety regulations. Candidate Requirements: Minimum 1 year of experience as a Store Keeper in the food industry . Knowledge of inventory and stock management practices specific to food items. Familiarity with basic food safety and hygiene standards (FSSAI guidelines preferred). Good organizational and communication skills. Physically fit and capable of handling stock movement. Education: SSLC / Plus Two / Diploma. Preference for candidates based in or around Calicut . Interested candidates are requested to share your updated resumes to mdjinitha@gmail.com Job Type: Full-time Pay: ₹15,000.00 - ₹22,000.00 per month Schedule: Day shift Work Location: On the road

Job Title: Multi-Tasking Staff (Clerical & Filing Works) Department: Administration / Office Support Location: Thudiyalur, Coimbatore Reports To: Office Manager / Administrative Officer Job Summary: The Multi-Tasking Staff (MTS) is responsible for performing general clerical duties including filing, documentation handling, and other office support tasks. This position plays a vital role in maintaining organized and accessible records, supporting the administrative team, and ensuring smooth day-to-day operations in the office. Key Responsibilities:Clerical Duties: Perform data entry, photocopying, scanning, and document handling. Assist in preparing, editing, and formatting official documents. Deliver and collect files, papers, and other office items across departments. Maintain office records. Receive and distribute incoming mail and correspondence. Filing Duties: Systematically file documents in appropriate folders—both physical and electronic. Maintain proper indexing and labeling of all files. Ensure timely retrieval and dispatch of records when requested. Regularly check for misfiled or outdated records and correct them as per filing protocol. Ensure files are stored securely and confidential records are handled appropriately. Administrative Support: Monitor and replenish office supplies. Operate basic office equipment (printers, copiers, scanners). Provide support during meetings (setting up, arranging files, circulating materials). Assist senior staff with routine office tasks and errands. Keep storage and filing areas clean and orderly. Qualifications: Education: Minimum 10th / 12th pass from a recognized board. Experience: Previous experience in office clerical or filing work preferred but not mandatory. Job Types: Full-time, Permanent Pay: ₹13,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Morning shift Work Location: In person

Job Title: Warehouse Incharge – Fabric & Garment Division Location: Jalandhar, Punjab Company: Shrey Sports Apply at: anuj.singh@shreysports.com About Us: Shrey Sports is a leading name in the world of sportswear and protective gear, recognized globally for innovation, quality, and excellence. With a strong focus on performance-driven products, we are expanding our backend operations and are looking for a dynamic individual to head our fabric and garments warehouse. Key Responsibilities: Oversee daily operations of the fabric and garment warehouse , ensuring optimal space utilization, inventory accuracy, and cleanliness. Maintain accurate inventory records of all fabric rolls, trims, finished garments, and accessories. Coordinate with the production, procurement, and quality control teams to ensure timely inward and outward movement of materials. Implement FIFO/FEFO systems , bin card practices, and labeling protocols for fabric and garment stock. Ensure proper storage of different fabric types (cotton, polyester, blends, etc.) based on weight, quality, and roll size. Supervise stock audits and cycle counts; reconcile any variances. Monitor warehouse staff and allocate work efficiently to meet daily targets. Handle inward inspection for fabric defects, damage, or discrepancies. Manage returns and rejections , maintaining documentation for the same. Oversee dispatches of finished garments and coordinate with logistics teams. Ensure compliance with safety standards, fire safety norms, and hygiene protocols. Key Requirements: Minimum 5 years of experience in managing a fabric/garment warehouse . Knowledge of fabric types, fabric GSM, dye lots, shrinkage handling, and storage techniques. Hands-on experience with inventory software s. Strong understanding of warehouse SOPs , barcoding, and stock control. Ability to lead a team and coordinate with inter-departmental teams. Good communication skills and organizational abilities. Familiarity with Excel/Google Sheets for reporting and tracking. Preferred Qualifications: Diploma or Bachelor’s degree in Textile Technology, Supply Chain Management, or related field . Prior experience with a garment manufacturing company or textile brand. What We Offer: Opportunity to work with one of India’s leading sports brands. Dynamic and collaborative work environment. Growth prospects within warehouse and supply chain verticals. To Apply: Please share your updated resume at anuj.singh@shreysports.com with the subject line: Warehouse Incharge Application – Jalandhar .

Greet and assist customers in a polite and professional manner Provide information about products, ingredients, and prices Handle cash and digital payments accurately Maintain proper display and labeling of sweets and snacks Keep the sales counter clean and organized Help in packaging and handling takeaway orders Maintain stock and inform when items are low Follow hygiene and safety standards Job Type: Full-time Pay: ₹9,800.27 - ₹15,019.04 per month Benefits: Food provided Health insurance Compensation Package: Performance bonus Schedule: Day shift Evening shift Morning shift Work Location: In person