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Alignerr is a Labelbox-led freelance platform that connects subject-matter experts with AI training projects. Contributors evaluate AI responses, create training data, review code, and assess language and multimedia to improve AI models. The platform offers flexible remote work, with project availability and pay varying by role, skills, and client demand.**
Public roles include AI response evaluation, task creation, writing, coding, STEM reasoning, language review, audio recording, data quality, chatbot testing, and AI safety testing.
Language opportunities change frequently. Current and recent listings include Arabic, Chinese, Japanese, Spanish, Portuguese, Dutch, French, German, Korean, Bengali, Indonesian, Tamil, and others.
Not for every role. General evaluation roles may accept varied backgrounds, while specialist STEM, legal, finance, and research roles can require advanced degrees, licenses, or professional experience.
No. Many official listings say prior AI experience is not required, although role-specific subject expertise and strong analytical skills may still be essential.
Zara is Alignerr's AI interviewer. Some jobs use an English screening and a second domain-specific interview to assess relevant knowledge and experience.
Unknown. Alignerr says candidates are reviewed on a rolling basis, but it does not publish a universal approval or project-matching timeframe.
Matching is based on the skills, domains, location, qualifications, assessments, project demand, and quality history associated with the contributor's profile.
The work is advertised as flexible freelance contracting. You should still check your employment agreement, local law, availability, and each project's confidentiality requirements.
Approved contributors configure Stripe Connect or PayPal depending on location. Stripe Connect can pay to a supported bank account or another method offered during setup.
Quality and adherence to project rubrics affect access to current and future opportunities. Accounts or project access may be reviewed when work fails quality or policy standards.