Amazon Support Services Costa Rica SRL
Administrative Support, Planning/Development, Logistics
AmazonRoboticsAnnotationAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Amazon Robotics Annotation Analyst at Amazon Support Services Costa Rica SRL. Skills: Data annotation, Robotics, AI model training. Perform multi-modal data annotations. Collaborate with scientists and engineers to translate ambiguous”
What You'll Achieve.
Ensure accuracy and consistency of annotated data; Maintain high-quality output
Industry & Context.
Troubleshooting techniques; Process gap identification; Structured problem-solving
Travel to the United States approximately 1-2 times per year for one week per trip
What They're Looking For.
Must Have
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, SQL queries, reporting tools, and shell scripts, Experience working with both Windows and Mac operating systems, Demonstrated written and verbal communication skills in English, including the ability to deliver presentations to technical audiences, Experience working in ambiguous environments with minimal predefined structure
Nice to Have
Master's Degree in Computer Science, Engineering, or related technical field, 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, Experience using structured problem-solving techniques such as five-whys analysis or root cause analysis, Understanding of testing methodologies such as A 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
What You'll Do.
Perform multi-modal data annotations
Collaborate with scientists and engineers to translate ambiguous
Conduct remote tele-planning and tele-operation activities to support
Define quality standards and key performance indicators (KPIs)
Validate annotated data using troubleshooting techniques and validation
Analyze the relationship between ground truth data quality
Identify process gaps and improvement opportunities
Implement proactive measures to maintain high-quality output
Communicate project status
and recommendations to technical
How You'll Work.
Team & Collaboration
Collaborate with scientists and engineers; Communicate project status to technical teams and stakeholders
Communication Scope
Written reports; Presentations
Full Job 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
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