A platform that connects freelancers with opportunities to provide expert human input for training and building artificial intelligence models.
Each model independently rates Outlier AI on a 1–5 star scale.
Outlier AI connects domain experts with AI training tasks. Growing platform in the AI data labeling space, backed by Scale AI. Mixed freelancer reviews regarding pay consistency and communication, but legitimate operation.
Outlier AI is a platform connecting freelancers with AI training opportunities. Limited public information affects scoring.
Outlier AI connects freelancers with AI training opportunities. As specific information is limited, TrustRating assigns a neutral score across all categories, pending further investigation.
Outlier AI connects freelancers with AI training tasks. Known platform with mixed freelancer reviews citing variable pay and task quality. Limited regulatory obligations for software marketplaces; transparency and support appear average. Overall, moderate but cautious scores.
Outlier AI is a niche platform connecting freelancers to AI data tasks. Public details on history, compliance, and user sentiment are limited, warranting conservative average scores.
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Outlier AI is rated 2.6 out of 5 (“Poor”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
TrustRating doesn't issue scam verdicts — we publish the data instead: Outlier AI scores 2.6 out of 5 (“Poor”) based on 5 independent AI model assessments. Every review passes TrustGuard, our fraud-screening system that blocks fake and paid reviews, so the score reflects genuine customer experience. Read the most recent reviews below before you decide.
Outlier AI currently has a TrustScore of 2.6 out of 5 (“Poor”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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