4 Labeling Standards Jobs

As a Data Annotation Specialist for LiDAR 3D Process, your role will involve annotating and labeling 3D point cloud data acquired from LiDAR sensors to ensure the creation of high-quality datasets. These datasets are crucial for AI/ML model training in various fields such as autonomous driving, robotics, and 3D mapping applications. Key Responsibilities: - Interpret and comprehend project requirements related to LiDAR 3D annotation tasks. - Accurately label and categorize 3D point cloud data based on specified guidelines. - Segment various objects like vehicles, pedestrians, road signs, lanes, and environmental features within 3D datasets. - Utilize specialized LiDAR annotation tools to mark bounding boxes, cuboids, and perform semantic segmentation. - Maintain consistency and accuracy in annotations across all projects. - Review and validate labeled data to ensure quality and adherence to project standards. - Collaborate with the QA team to rectify errors and enhance annotation processes. - Meet productivity and quality targets within project timelines. Skills & Qualifications: - Demonstrated experience in data annotation, preferably in LiDAR 3D point cloud processing. - Familiarity with LiDAR annotation tools such as Labelbox, Supervisely, Scalabel, or similar platforms. - Understanding of 3D geometry, spatial awareness, and object classification. - Basic knowledge of autonomous driving datasets and labeling standards would be advantageous. - Strong attention to detail with the ability to precisely follow instructions. - Excellent communication and teamwork skills. Preferred Qualifications: - Proficiency in using 3D visualization software like Blender, CloudCompare, Open3D. - Knowledge of machine learning concepts and dataset preparation. - Previous involvement in autonomous vehicle projects. If you choose to join us, you will: - Engage in cutting-edge AI-driven healthcare innovations. - Contribute to advancements in medical research and disease detection. - Collaborate within a work environment alongside healthcare and AI experts. Please note that the benefits include paid sick time, paid time off, and the work location is in person.,

Key Responsibilities Global Labeling Coordinate end-to-end labeling changes (including updates, reviews, and approvals) ensuring alignment with regional and international regulations. Maintain and refine labeling templates, SOPs, and related documentation to sustain consistency and compliance. Cross-Functional Collaboration Collaborate with local, regional, and global teams including Regulatory Affairs, Quality, and Supply Chain to identify labeling requirements, address challenges, and meet project milestones. Communicate clearly and proactively with relevant stakeholders, providing expertise on labeling processes and compliance requirements. Planning & Execution Develop detailed project plans and timelines for labeling initiatives, ensuring completion within defined schedules. Monitor progress, identify potential risks, and implement corrective actions to keep projects on track. Process Improvement & Compliance Identify opportunities to streamline labeling workflows and enhance efficiency, driving continuous improvement within the labeling function. Support inspection readiness by maintaining up-to-date records, robust quality checks, and accurate documentation for audit purposes. Technical & Operational Support Perform critical reviews of artwork, translations, and labeling content to verify accuracy and adherence to regulatory standards. Troubleshoot issues related to labeling systems, ensuring timely resolution and minimal operational disruption. Mentoring & Knowledge Sharing Provide guidance and training to junior team members and new hires on labeling standards, tools, and best practices. Foster a culture of knowledge-sharing and continuous learning to build expertise within the team. Qualifications Basic Qualifications: Master s degree and 6 to 8 years of directly related experience OR Bachelor s degree and 8 to 10 years of directly related experience OR Diploma and 10 to 12 years of directly related experience Required Qualifications Knowledge of end-to-end labeling. Knowledge of Labeling Management Systems (e. g. , Veeva Vault) and related document management tools. Strong knowledge of global regulatory labeling requirements, especially for pharmaceuticals or biologics. Proven track record in project planning and execution, with strong organizational and problem-solving skills. Excellent communication skills, with the ability to collaborate effectively in a global, cross-functional environment. Experience in continuous improvement methods to enhance labeling processes and efficiency. Soft Skills: Excellent written/oral communication skills and attention to detail Ability to effectively demonstrate leadership in a team environment which requires negotiation, persuasion, collaboration, and analytical judgment; Proficient time and project management skills. Self-starter with a drive and perseverance to achieve results.

Roles & Responsibilities: Label change updates and implementation process Logo & Package Component Labeling (PCL) changes Important Safety Information (ISI) updates Product shot index management of drug product imagery Label change content assessment binders System workflow assessments of label impacted promotional material Regulatory Information Management (RIM) archiving Preclearance & Request for Advisory Comments (RFAC) submissions Reporting/Archiving of Ad/ Promo FDA Communications (i. e. Intent to Comply, Record of Contact -ROC, Prescription Drug Marketing Act -PDMA, Dear Healthcare Provider -DHCP letters, etc. ) Veeva data entry/retrieval and collection of information Process documentation authoring support Required Knowledge and Skills: Exhibits a professional manner in dealing with others and maintains constructive working relationships Communicates effectively both verbally and in writing with superiors, colleagues, and individuals inside and outside the Company Can be depended on to complete work in a timely, accurate, and thorough manner and is conscientious about assignments Ability to read and understand written instructions and follow documented process Ability to lead and manage video conference meetings (i. e. MS Teams) and provide meeting minutes Proficient in MS Word, Excel, PowerPoint, Visio, and to manipulate data using formulas in Excel spreadsheets (including pivot tables) Technical editing of process documents and proofreading, with the ability to create Infographics & slides Experience in Veeva PromoMats to create Electronic Common Technical Documents (eCTD) compliance packages for US FDA submissions with a strong knowledge of FDA eCTD publishing tools Knowledge and experience in the US Medical, Legal, and Regulatory (MLR) review process within Veeva PromoMats to complete Abbreviated Reviews Veeva system expertise in the Records Information Management (RIM) Vault to archive & maintain complaint US Health Authority records MS SharePoint/Teams expertise to collaborate and help manage department records/process documentation MS Outlook inbox management, including organizational skills, creating email rules, and standard email templates Preferred Knowledge and Skills : Previous Amgen (or other biopharmaceutical companies) experience with US Regulatory Advertisement/Promotional (Ad/Promo) expertise Previous SharePoint experience navigating and maintaining document records Veeva Business Admin certified (PromoMats & RIM) US Regulatory Ad/Promo Project Management and knowledge of FDA promotional regulations Experience in US labeling and Regulatory document management & promotional review and approval processes Basic Education and Experience: Master s degree and 4 years of related experience OR Bachelor s degree and 6 years of related experience Preferred Education and Experience: Bachelor s degree and 6 years of related experience Experience working in a Global Regulatory Affairs organization

About The Role The mission of the Global Scaled Solutions (GSS) team is to transform Uber's best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are: Automated & Innovative Industry Leading Cross-organizational & Integrated At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together. As a Program Manager with the AI and Data Solutions team, you will be responsible for running human in the loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes. What You Will Do Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience What You Will Need Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own Preferred Qualifications Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights