Associate, ML Data Operations, GO-AI Operations
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Dataanalys
I korthet
Amazon Robotics is seeking an Associate, ML Data Operations in Hyderabad, India. This non-technical role involves performing precise data annotation for machine learning models, including image, video, and text data, using tools like Labelbox and CVAT. The position requires a Bachelor's degree and offers a contract with potential for full-time transition, remote work with rotational shifts.
Ansvarsområden
- Perform precise and consistent annotations across image, video, and text data.
- Master techniques such as object detection, semantic segmentation, object tracking, and open-text evaluation.
- Proactively identify and correct errors to ensure high data integrity for model training.
- Leverage strong judgment to address ambiguous situations and propose process improvements.
- Quickly learn and utilize specialized annotation tools and platforms.
- Scale and transition between multiple programs based on business needs.
- Undertake foundational labeling functions like dialogue evaluation on speech, text, audio, and video data.
Krav
- Bachelor's degree or equivalent, or 1+ years of work experience.
- Strong attention to detail and ability to maintain accuracy with large datasets.
- Excellent organizational and time management skills.
- Comfortable working in a collaborative, remote, multi-cultural environment.
- Willingness to quickly adapt to new annotation methodologies and tools.
- Good communication skills.
- Work in a flexible schedule/shift/work area.
- Adequate network coverage (internet >=20 MBPS speed).
Önskade kvalifikationer
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
- Master's degree and experience with various machine learning techniques.
- 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.
Förmåner
- Potential to transition to a full-time employee role.
- Rotational shifts with night shift allowance as per policy.
- Structured one-week training program.
- Work from home (VCC) with a dedicated workspace.
#Data Annotation#Machine Learning#Robotics#AI Operations