Dear Candidate,\nAssociate II,ML Data Operation- Hyderabad ,6 Months Contract (On Amazon Payroll )\nThank you for your interest in the Associate II, ML Data Operation position. To proceed with our hiring process, please follow these steps:\nReview and Register Please carefully review the job description. If the role aligns with your interests and qualifications, complete the registration for the assessment using the link provided.\nAssessment Details Once you've registered, you'll receive an assessment link at your registered email address. This assessment is designed to evaluate your written communication skills and will take approximately 60 minutes to complete. Your login credentials (username and password) will be sent to your email after registration.\nImportant: Please complete the assessment within 24 hours of receiving the link\nStep 1: Please fill the survey link:\nhttps://pulse.amazon/application/NFXR33KA\nStep 2: Career portal Mandatory:\nhttps://amazon.jobs/en/jobs/10388366/associate-ii-ml-data-operations-go-ai-operations\nDescription\nAmazon Robotics develops state-of-the art robotics for Amazons Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems.\nWithin Amazon\nRobotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support.\nAs an Associate II, ML Data Operations, you will be a vital Human-in-the-Loop expert in a non-technical role, responsible for executing data annotation tasks across highly diverse portfolios. Your work directly supports the training and validation of machine learning models for Amazon Robotics and Fulfillment Technologies, ensuring the quality and integrity of data which is critical for frontier AI improvements. Your work will involve analyzing processes such as packaging innovation, object manipulation, inventory storage, and sortation automation within fulfillment environments.\nThis role requires strong attention to detail, the ability to make sound judgments using provided resources, and contributes to maintaining fulfillment center quality metrics through precise text/video/image annotation. This role is offered on a contractual basis, with the opportunity to transition into a full-time position based on performance and business requirements.\nBasic qualifications\n• Bachelors degree in any discipline with 0.6 - 5 years of experience working with data transcription and annotation.\n• English proficiency (C1+ or > C1 fluency) with good business writing skills\n• Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.\n• Specializing in LLM annotation work using amazon internal generative AI tools.\n• Proficient research skills with experience to write basic prompts to gather and synthesizing information from multiple sources\n• Excellent organizational and time management skills to prioritize complex tasks effectively.\n• Comfortable working in a cooperative environment with remote, multi-cultural teams, willing to share knowledge, and able to maintain individual productivity goals.\n• Good communication skills with the ability to articulate complex ideas and provide clear explanations.\n• Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays\nKey job responsibilities\nThis is a non-technical operational role; you will deliver high-quality training data to improve and expand our Large Language Model (LLM) capabilities. That requires adhering to process oriented, not programming skills. The Associate II will perform precise annotation tasks (The process of labeling or tagging data for machine learning training), displays flexibility with the ability to transition immediately between the projects as per business r