Note: The job is a remote job and is open to candidates in USA. Amazon Robotics develops advanced robotic systems and uses human-in-the-loop support through Global Operations – Artificial Intelligence to accelerate machine learning transformation. The Associate II, ML Data Operations role performs accurate data annotation and validation across text, image, video, and audio to support machine learning model training, while identifying process improvements and providing peer support.
Responsibilities
- Perform precise and consistent annotations across multiple data types (image, video, and text). This includes mastering techniques like object detection, semantic segmentation (pixel-level labeling), object tracking in video, and open-text evaluation
- Proactively identify and correct errors, ensuring high data integrity and making obsessive precision crucial for model training
- Write grammatically correct, creative, and technical texts in various styles, strictly adhering to complex project guidelines
- Make strong judgment to address ambiguous situations or incomplete information and, when guidelines fail, propose logical, consistent solutions that contribute to process improvement
- Quickly learn and efficiently utilize various specialized annotation tools and platforms, adapting to new methodologies as required by evolving programs in domains like packaging, manipulation, storage, and sortation automation
- Ability to scale and transition between 2-3 programs based on business needs and ability to train associates and provide peer feedback
- Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information
- You will strive to enhance the productivity and effectiveness of the data generation by contributing to the development and continuous improvement of audit methodologies, checklists, and test frameworks
Skills
- • 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 annotation work using amazon internal generative AI tools
- • Proficient research skills with experience to write basic prompts to gather and synthesizing information from multiple sources
- • Excellent organizational and time management skills to prioritize complex tasks effectively
- • Comfortable working in a collaborative environment with remote, multi-cultural teams, willing to share knowledge, and able to maintain individual productivity goals
- • Good communication skills with the ability to articulate complex ideas and provide clear explanations
- • Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- • Perform precise and consistent annotations across multiple data types (image, video, and text). This includes mastering techniques like object detection, semantic segmentation (pixel-level labeling), object tracking in video, and open-text evaluation
- • Proactively identify and correct errors, ensuring high data integrity and making obsessive precision crucial for model training
- • Write grammatically correct, creative, and technical texts in various styles, strictly adhering to complex project guidelines
- • Make strong judgment to address ambiguous situations or incomplete information and, when guidelines fail, propose logical, consistent solutions that contribute to process improvement
- • Quickly learn and efficiently utilize various specialized annotation tools and platforms, adapting to new methodologies as required by evolving programs in domains like packaging, manipulation, storage, and sortation automation
- • Ability to scale and transition between 2-3 programs based on business needs and ability to train associates and provide peer feedback
- • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information
- • Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
- • Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)
- • Speak, write, and read fluently in English
Benefits
- Opportunity to transition into a full-time position based on performance and business requirements
- Night shift allowance will be provided as applicable to Amazon’s work policy
- Structured one-week training program to develop essential capabilities and ensure operational readiness prior to deployment
- 5-day working week with 2 consecutive rotational days off
Company Overview
Company H1B Sponsorship