About the Company
Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. Our mission is to be Earth’s most customer-centric company, and we continually innovate to create new services and products. Within our Prime Video and AI divisions, we are building the future of entertainment by leveraging advanced machine learning models to enhance user experience, content discovery, and personalized recommendations. Join our dedicated team to contribute to cutting-edge AI initiatives that redefine how millions of customers interact with digital content worldwide.
Job Description
We are seeking a highly detail-oriented and enthusiastic Entertainment Data Labeler to join our AI Training team. In this remote role, you will play a crucial part in improving the accuracy and intelligence of Amazon’s AI systems by meticulously labeling various types of entertainment data, including video, audio, and text. Your contributions will directly impact the development of features that power Prime Video, IMDb, and other entertainment platforms, ensuring a seamless and personalized experience for our global customer base. This is an excellent opportunity for individuals passionate about entertainment and technology to gain hands-on experience in AI and machine learning.
Key Responsibilities
- Accurately label and annotate diverse entertainment content (video frames, audio clips, text descriptions) according to established guidelines and taxonomies.
- Categorize and tag content based on genre, mood, characters, objects, events, and other specified attributes relevant to AI model training.
- Identify and correct inconsistencies or errors in existing data labels to maintain high data quality standards.
- Provide constructive feedback on labeling guidelines and tools to improve efficiency and clarity.
- Participate in calibration sessions to ensure consistency in labeling across the team.
- Meet daily and weekly quotas for labeling tasks while maintaining a high level of accuracy and attention to detail.
- Collaborate with AI engineers and researchers to understand data requirements and impact of labeling on model performance.
Required Skills
- Exceptional attention to detail and strong analytical skills.
- Deep understanding and passion for entertainment content across various genres (movies, TV shows, documentaries, music).
- Proficiency in using basic computer applications and web-based tools.
- Ability to comprehend and consistently apply complex, detailed instructions and guidelines.
- Excellent time management and organizational skills to meet deadlines in a remote work environment.
- Self-motivated and able to work independently with minimal supervision.
Preferred Qualifications
- Prior experience with data annotation, data entry, or quality assurance roles.
- Familiarity with AI/Machine Learning concepts and their application in content understanding.
- Background or studies in media, film, television, linguistics, or related fields.
- Experience with content management systems or digital asset management.
Perks & Benefits
- Competitive hourly wage with opportunities for growth.
- Comprehensive health, dental, and vision insurance.
- 401(k) matching program.
- Paid time off and holiday pay.
- Employee discounts on Amazon products and services.
- Access to a vast library of training and development resources.
- Flexible remote work environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
⚠️ Important Disclaimer
Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.
Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://jobs.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.