Korean AI Training Specialist
Rise Data Labs · Remote · AI model evaluation
Korean AI Training Specialist is an open role at Rise Data Labs, available remotely, with pay listed as $20–$40/hr.
Applications open on Rise Data Labs’ own site. How we make money.
At a glance
- Pay
- $20–$40/hrStated by Rise Data Labs
- Location
- Remote
- Work type
- AI model evaluation
- Listed
- Since Jul 30, last confirmed Oct 29
How the pay compares
Higher than 28% of the 287 distinct hourly rates advertised for AI model evaluation roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Rise Data Labs’ listing
“About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems.”
Show the full listing
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI. Job Overview As a Korean AI Training Specialist at Rise Data Labs, you will play a pivotal role in enhancing the performance of AI models through meticulous data annotation and validation. Your expertise in the Korean language will ensure that our AI systems are accurately trained and capable of understanding nuanced language patterns. Key Responsibilities Train and improve AI models through precise data annotation and labeling. Review and validate AI-generated content for accuracy and relevance. Provide domain expertise in the Korean language to enhance AI model performance. Collaborate on various AI training projects across different fields, ensuring high-quality data for machine learning applications. Conduct thorough quality assurance checks to maintain the integrity of data used in AI training. Required Skills and Qualifications Fluent in Korean, with strong command of grammar and syntax. Proven experience in
About Rise Data Labs: part of Rise Data Labs. See the full profile →
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Frequently asked questions
How do I apply for the Korean AI Training Specialist role at Rise Data Labs?
Applications go through Rise Data Labs's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Rise Data Labs's access model is "Open / self-serve" (Open application). This listing was first seen here on July 30, 2026 and was still live at the last check.
Is the Korean AI Training Specialist role at Rise Data Labs remote?
Yes - Rise Data Labs lists this role as remote.
What does the Korean AI Training Specialist role at Rise Data Labs pay?
Rise Data Labs lists this role's pay as $20–$40/hr, quoted from the listing rather than estimated.
What kind of work is Korean AI Training Specialist?
AI model evaluation. Data labeling, RLHF, text/image/audio/video annotation
Is Rise Data Labs a legitimate AI-training platform?
Direct AI training data platform - and that relationship is rated "Confirmed" here because it can be checked against www.risedatalabs.com rather than taken on Rise Data Labs's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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