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AI Training Specialist - STEM Focus (Fluent in Russian)

Rise Data Labs · Remote · AI model evaluation

AI Training Specialist - STEM Focus (Fluent in Russian) is an open role at Rise Data Labs, available remotely, with pay listed as $15–$45/hr.

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At a glance

Pay
$15–$45/hrStated by Rise Data Labs
Location
Remote
Listed
Since Jul 30, last confirmed Oct 29

How the pay compares

This role$45
Rise Data Labs median$48
Science / STEM roles median$80
All roles median$60

Higher than 12% of the 116 distinct hourly rates advertised for Science / STEM 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.”
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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 an AI Training Specialist at Rise Data Labs, you will be pivotal in enhancing our AI models through precise data annotation and labeling. Your expertise in STEM fields and fluency in Russian will be essential as you contribute to various AI training projects across multiple domains. You will review and validate AI-generated content for accuracy, ensuring that our models are trained on high-quality data. Key Responsibilities Train and improve AI models through meticulous data annotation and labeling. Review and validate AI-generated content for accuracy and relevance. Provide domain expertise to enhance AI model performance. Collaborate with cross-functional teams on various AI training projects. Ensure the delivery of high-quality data for machine learning applications. Required Skills and Qualifications Fluency in Russian and English. Strong background in STEM fields (Science, Technology, Engineer

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Frequently asked questions

How do I apply for the AI Training Specialist - STEM Focus (Fluent in Russian) 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 AI Training Specialist - STEM Focus (Fluent in Russian) role at Rise Data Labs remote?

Yes - Rise Data Labs lists this role as remote.

What does the AI Training Specialist - STEM Focus (Fluent in Russian) role at Rise Data Labs pay?

Rise Data Labs lists this role's pay as $15–$45/hr, quoted from the listing rather than estimated.

What kind of work is AI Training Specialist - STEM Focus (Fluent in Russian)?

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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