Role Description Are you ready to shape the future of robotics through human-AI collaboration? Join us in a role where your judgment and adaptability directly impact how Amazon's robotic systems learn and evolve. You'll work at the intersection of artificial intelligence and robotics, helping define how machines understand the world through your expert data annotations, remote tele-planning, and real-time operational support. This isn't traditional data labeling. You will collaborate with scientists and engineers on ambiguous, cutting-edge projects where standard procedures don't yet exist, and your insights will help create them. Key job responsibilities - Perform multi-modal data annotations including object segmentation, classification, written descriptions, and detection for robotics and AI model training - Collaborate with scientists and engineers to translate ambiguous technical requirements into clear annotation standards and standard operating procedures (SOPs) - Conduct remote tele-planning and tele-operation activities to support robotics systems development and testing - Define quality standards and key performance indicators (KPIs) for annotation projects where established procedures do not yet exist - Validate annotated data using troubleshooting techniques and validation scripts to ensure accuracy and consistency - Analyze the relationship between ground truth data quality and AI model performance metrics such as accuracy, precision, and false positive rates - Identify process gaps and improvement opportunities, then implement proactive measures to maintain high-quality output - Communicate project status, challenges, and recommendations to technical teams and stakeholders through written reports and presentations - Travel to the United States approximately 1-2 times per year for one week per trip A day in the life Your day starts reviewing new robotics tasks requiring annotation standards built from scratch. You'll collaborate with research scientists via video calls to understand model requirements, then design annotation approaches and quality metrics. Mid-morning, you might annotate complex robotic manipulation scenarios across video, image, or text data—providing the foundation that trains autonomous systems. Afternoons involve analyzing quality trends, identifying improvements, and documenting best practices for future scale. You'll alternate between focused annotation work on multi-modal data and collaborative problem-solving sessions where your expertise shapes next-generation AI robotics. The variety keeps every day engaging, with direct impact on robotic systems deployed across Amazon's network. About the team Amazon Robotics develops state-of-the-art robotics for Amazon's Fulfillment Network, which handles more individual items than any company in the world. We develop autonomously driving mobile robots and complex manipulation robots to solve real-world problems at scale. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale our robotic and automation solutions through human supervisory control. We partner across Amazon's World Wide Operations organization to deliver data annotation services, ground truth data, and operational support that powers AI innovation. Our team thrives on solving ambiguous challenges, building processes where none exist, and maintaining the highest quality standards. We value curiosity, collaboration, and the ability to translate complex technical requirements into actionable workflows. As we expand our capabilities in remote operations and AI training, you'll help define what success looks like for this emerging field. Qualifications - Experience supporting Windows, Mac and/or Linux operating systems in a corporate setting - Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment - Bachelor's Degree in Computer Science, Engineering, or related technical field, OR 3+ years of professional experience in data annotation, AI/machine learning support, or robotics operations - 2+ years of experience collaborating with science or engineering teams to define dataset requirements for training AI models and converting those requirements into standard operating procedures - 2+ years of experience performing multi-modal data annotations including object segmentation, classification, written description, and detection - 1+ years of experience defining quality standards and KPIs for data annotation projects - Experience with basic technical tools including Excel, reporting tools, and shell scripts - Demonstrated written and verbal communication skills in English, including the ability to deliver presentations to technical audiences Preferred Qualifications - Master's degree or above in Computer Science, Engineering, or related fields - Experience demonstrating problem solving and root cause analysis - Experience with remote tele-planning or tele-operation of robotic systems - Experience working with industry data labeling tools such as Computer Vision Annotation Tool (CVAT), Labelbox, or SageMaker Ground Truth - Familiarity with manipulation robotics and mobile robotic systems - Understanding of testing methodologies such as A/B testing for dataset validation and performance evaluation - Experience configuring and using open-source tools to improve or validate ground truth data quality - Experience managing relationships with senior technical stakeholders across multiple teams - Track record of working independently with minimal direction in fast-paced, rapidly changing environments Company Description 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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Role Description CBC North is seeking our next Announcer/Operator to lead our Gwich’in language radio program, Nantaii (Country Road), which broadcasts weekdays into the Gwich’in communities of the Western Arctic and Old Crow, Yukon. The successful candidate may be a fluent speaker or a language learner. They will be responsible for researching, preparing and presenting interviews with fluent speakers and with language learners, hosting the show, and preparing archival material for broadcast. Support and training in radio broadcasting will be provided. The successful candidate could be based in Yellowknife, Inuvik or elsewhere in the N.W.T. - Plan and prepare material for broadcast. - Pitch stories, schedule guests, prepare background notes and questions and conduct interviews. - Develop and maintain contact with diverse community sources. - Provide continuity between segments on air. - Edit program material. The following tasks may also be required: - Participate in community relations activities to promote the CBC. - Direct a program or program segment in studio or at a remote location. - Maintain an appropriate level of communication with members of the audience. - Archive programs and program scripts and lineups. - Perform incidental technical functions necessary to ensure the smooth and continuous functioning of the station. Qualifications - The ability to speak, or a demonstrated interest in learning, the Gwich’in language. - Strong writing and interviewing skills. - Computer skills and the ability to learn and use social media networks. - A strong understanding of Indigenous storytelling. - The ability to think critically. - Previous on-air experience in radio or television would be an asset. Requirements - Candidates may be subject to skills and knowledge testing. - As part of our recruitment process, candidates who advance to the next step will be asked to complete a background check. - A mandatory Criminal record check. - Other background checks may be conducted based on the operational requirements of the position. Benefits - CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. - We value equal opportunity and nurture an inclusive workplace.

• Drive test vehicles which may be across multiple states, collecting data on multi-day missions and facilitating the transfer of data back to Latitude. • Operate on a 6-day, up to 60-hour workweek schedule, working 3 weeks on followed by 1 week off. • Perform daily start-up, system engagement/disengagement, and shutdown procedures for development vehicles. • Actively monitor and troubleshoot both software and hardware systems while on the road. • Execute data collection in accordance with strict safety and compliance protocols. • Maintain accurate and detailed reports on system performance and data collection achievements. • Represent the organization professionally and responsibly while driving in public environments, prioritizing the safety of all road users.

• Act as the primary point of contact for sportsbook customers regarding GRID's Odds products and trading-related services • Respond to customer queries and operational alerts, ensuring issues are acknowledged and investigated in a timely manner • Support customers with questions related to fixture coverage, market coverage, market availability, settlement, and product behavior • Gather and validate information to determine the nature and impact of customer-reported issues • Escalate issues to the appropriate internal teams when necessary • Help improve the GRID product suite based on customer feedback and defects you've identified • Log and track operational, product, and service issues • Continuously develop your knowledge of esports, sportsbook operations, betting markets, and GRID products to enhance service quality and decision-making • Contribute daily to our knowledge base to share your knowledge with GRID employees, partners, and customers