remote
Associate, ML Data Operations, GO-AI Operations - Amazon.com
Systems Engineer
We're looking for a Systems Engineer focused on streamlining processes and driving operational efficiency. This mid level role requires 3+ years of relevant experience.
About the role
DESCRIPTION
- 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.
- Leverage strong judgment to address ambiguous situations 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 multiple programs based on business needs
- This is a contract position with the potential to transition to a full-time employee role based on business needs.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL
- •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.
- •Show willingness to quickly adapt to new annotation methodologies and learn to use various specialized annotation tools
- •Good communication skills with the ability to articulate complex ideas and provide clear explanations.
- •Work in a flexible schedule/shift/work area.
PREFERRED QUALIFICATIONS
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- • Proficiency in using annotation tools and software like Labelbox, CVAT, Supervisely, Sagemaker Ground-truth
- • Experience in data annotation or similar high-volume, quality-focused roles