Remote AI Training Specialist | CS Expert

Rise Data Labs

Philippines

Remote

PHP 400,000 - 600,000

Full time

14 hours ago
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Job summary

Rise Data Labs in the Philippines is seeking an AI Training Specialist to enhance AI models through precise data annotation and validation. Your computer science background will ensure accuracy across diverse labeling tasks and domains.

You will train and improve models, review AI-produced content, and collaborate with cross-functional teams to deliver high-quality training data. A remote-first work environment offers flexible hours and global project exposure.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Strong understanding of AI and machine learning concepts.
  • Experience with data annotation tools and techniques.
  • Exceptional attention to detail and quality assurance skills.
  • Excellent communication skills and ability to work collaboratively.

Responsibilities

  • Train and improve AI models by providing high-quality data annotation and labeling.
  • Review and validate AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance and reliability.
  • Collaborate with cross-functional teams on various AI training projects.
  • Ensure high-quality data for machine learning applications through attention to detail.

Skills

AI/ML concepts
Attention to detail
Communication
Data annotation
Data annotation techniques

Education

Bachelor's degree in Computer Science
Bachelor's degree in Data Science
Master's degree

Tools

Python
R

Job description

Rise Data Labs in the Philippines is seeking an AI Training Specialist to enhance AI models through precise data annotation and validation. Your computer science background will ensure accuracy across diverse labeling tasks and domains.

You will train and improve models, review AI-produced content, and collaborate with cross-functional teams to deliver high-quality training data. A remote-first work environment offers flexible hours and global project exposure.

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