Amazon
Machine Learning Science, Machine Learning Data Operatio, amazon business
AssociateII,MLDataOperations,GO-AIOperations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Associate II, ML Data Operations, GO-AI Operations at Amazon. Skills: ML Data Operations, Data Annotation, LLM Training. Deliver high-quality training data. Perform precise annotation tasks”
What You'll Achieve.
Maintain fulfillment center quality metrics; Ensure quality and integrity of data; Improve and expand LLM capabilities
Industry & Context.
Make sound judgments; Address ambiguous situations; Propose logical conclusions
Contractual basis, Flexible schedule/shift/work area, Weekends, nights, and/or holidays, Rotational shifts, 9-hour shift, Night shift allowance, Rotational two-consecutive days off, 5-day working week
What They're Looking For.
Must Have
Bachelor's degree in any discipline, 0-5 years of experience, Experience working with data transcription and annotation, English proficiency (C1+ or > C1 fluency), Good business writing skills, Proficiency in generating high quality human insight data, Specializing in LLM annotation work, Proficient research skills, Experience to write basic prompts, Excellent organizational and time management skills, Comfortable working in a collaborative environment, Willing to share knowledge, Able to maintain individual productivity goals, Good communication skills, Ability to articulate complex ideas, Provide clear explanations, Work in a flexible schedule/shift/work area, Experience in natural language data labeling, Experience with computer skills, Proficiency in MS Office (Word, Excel, PowerPoint)
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs, Speak, write, and read fluently in English
What You'll Do.
Deliver high-quality training data
Perform precise annotation tasks
Transition immediately between projects
Identify operational friction and bottlenecks
Propose logical conclusions and actionable changes
Perform consistent annotations across multiple data types
Master techniques like object detection
Master semantic segmentation
Master object tracking in video
Master open-text evaluation
Identify and correct errors
Write grammatically correct texts
Write technical texts
Adhere to complex project guidelines
Make judgment to address ambiguous situations
Address incomplete information
Propose consistent solutions
Contribute to process improvement
Learn and utilize specialized annotation tools
Adapt to new methodologies
Scale and transition between programs
Provide peer feedback
Validate data based on guidelines
Ensure accuracy and quality
Enhance effectiveness of data generation
Contribute to development of audit methodologies
Contribute to development of checklists
Contribute to development of test frameworks
Undertake foundational labelling functions
Dialogue evaluation on speech
Dialogue evaluation on text
Dialogue evaluation on audio
Dialogue evaluation on video
Dive deep into use case
Share insights on edge cases
How You'll Work.
Team & Collaboration
Collaborative environment; Multi-cultural teams; Diverse team of specialists
Communication Scope
Business writing; Articulate complex ideas; Clear explanations
Full Job Description
Amazon Robotics develops state-of-the art robotics for Amazon’s 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. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. As 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. This 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. Basic qualifications • Bachelor’s degree in any discipline with 0.6 - 5 years of experience working with data transcription and annotation. • English proficiency (C1+ or > C1 fluency) with good business writing skills • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Specializing in LLM annotati
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