Projects Objective:
To collect videos that will support the training and improvement of AI-powered technologies.
Cochera Project
Participants will attend a 90-minute guided session, during which they will record 20 short video clips while performing simple actions such as walking in different directions. No prior experience is required.
Location: Seattle WA, New Jersey, Las Vegas, NE
Further details and to register: https://lnkd.in/gbSEK8BK
Referral Bonus:
Refer your family and friends within these age brackets and earn!
1. 13-19 aged group = $50
2. 60 and above = $50
Register your referrals here: https://lnkd.in/gxZvY6cy
Skills Required
- No prior experience is required
Centific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.
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Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
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Flexible Benefits — Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
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Parental & Family Support — Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.
Centific Insights
What We Do
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
