Alignerr
Selective AI training platform by Labelbox connecting subject matter experts with generative AI improvement projects.
What is Alignerr?
Alignerr is an AI training platform launched by Labelbox, headquartered in San Francisco. The platform serves as a freelance marketplace connecting subject matter experts with opportunities to contribute to the development of cutting-edge generative AI models. Contributors work on various task types including rating and ranking assignments, open rewrite tasks, and multi-modal assignments — all designed to improve AI model outputs and ensure content quality. Alignerr maintains a highly selective acceptance rate, reportedly lower than Harvard's admission rate, to ensure high-caliber talent. The platform cultivates a community of skilled professionals including PhDs, researchers, and experienced practitioners across disciplines like STEM, coding, and language. Contributors work remotely with flexible schedules on a project-based basis, with work available globally subject to a Working Location Policy for certain generative AI projects.
Qualifications
Alignerr seeks professionals with specialized knowledge in their respective fields. Minimum qualifications include junior or senior undergraduate status in a relevant field, with a strong preference for graduate students, master's degree holders, and PhD recipients. Proficiency in written English and effective communication skills are required. Work requires strong logical reasoning, excellent reading comprehension, and attention to detail. The application process involves signing up with Google credentials, uploading a current resume and LinkedIn profile, completing identity verification through Persona, and taking a 15-minute AI-powered interview with "Zara." Additional domain-specific assessments may be required depending on the role. After successful completion, contributors sign a contract and set up payment. Task availability is project-based and can vary, with some onboarding processes taking several weeks.
Company Information
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