About the Company
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is a “full-stack” company with data-center-scale offerings that are reshaping the industry.
Job Description
NVIDIA is looking for a detail-oriented and motivated Junior AI Data Annotator to join our innovative team on a flexible part-time, remote basis. This is an exciting opportunity to contribute to the advancement of artificial intelligence by ensuring the quality and accuracy of our data sets. As a key player in our AI development pipeline, you will meticulously label and categorize various forms of data, directly impacting the performance and intelligence of our cutting-edge AI models.
Key Responsibilities
- Accurately label and annotate diverse datasets (e.g., images, text, audio, video) according to detailed guidelines and specifications.
- Identify and escalate ambiguous cases or guideline inconsistencies to ensure data quality and clarity.
- Maintain a high level of accuracy and consistency in all annotation tasks.
- Provide constructive feedback to improve annotation tools and guidelines.
- Collaborate with a remote team to ensure project goals and deadlines are met.
- Participate in ongoing training sessions to stay updated on new project requirements and tools.
Required Skills
- Exceptional attention to detail and strong observational skills.
- Proficiency in English with excellent reading comprehension.
- Basic computer literacy and comfort with web-based tools and interfaces.
- Ability to follow complex instructions and adapt to changing guidelines.
- Self-motivated with excellent time management skills, capable of working independently in a remote environment.
- A reliable internet connection and a personal computer.
Preferred Qualifications
- Familiarity with data annotation platforms or tools.
- Basic understanding of machine learning or artificial intelligence concepts.
- Experience in quality assurance or data entry roles.
- Ability to learn new software quickly.
Perks & Benefits
- Flexible part-time hours to fit your lifestyle.
- Opportunity to work remotely from anywhere in the US.
- Contribute to groundbreaking AI technology at a world-leading company.
- Access to continuous learning and development resources.
- Supportive and collaborative remote team environment.
- Exposure to various AI applications and datasets.
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.
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