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Joi AI Hires Consultants for NSFW Audio Testing

Adult-AI startup Joi AI is hiring 10 "masturbation consultants" for a four-week study to test a new NSFW audio feature, requiring daily audio-guided sessions and weekly reports from participants aged 18 or older. The company received over 100,000 applications for the paid consultant roles, according to Joi AI brand head Julie Levin. Joi AI, which rebranded from Eva AI in 2025 and uses a coin-based pricing model, has raised an estimated $4 million since its 2023 founding.

read3 min publishedMay 27, 2026

Business Insider reports that adult-AI startup Joi AI is hiring 10 'masturbation consultants' for a four-week study to test a new NSFW audio feature. Business Insider says participants must be 18 or older, complete daily audio-guided sessions, and submit short weekly reports. The company received over 100,000 applications, Business Insider quotes Joi AI brand head Julie Levin saying, "What are we supposed to do with 100,000 applications?" Business Insider also reports Joi AI rebranded from Eva AI in 2025, uses a coin-based pricing model (an initial $13.99 monthly tier for 1,000 coins), and PitchBook estimates the startup has raised about $4 million since its 2023 founding. Business Insider notes the company confirmed the study is real but did not disclose investors, revenue, or user counts.

What happened

Business Insider reports adult-AI startup Joi AI has posted a short-term study hiring 10 self-described "masturbation consultants" to test a new NSFW audio product. According to Business Insider, the role lasts four weeks, requires participants to be 18 or older, and asks testers to complete "daily audio-guided sessions" and write "short weekly reports." Business Insider quotes Joi AI brand head Julie Levin saying the company received over **100,000 applications" and asks, "What are we supposed to do with 100,000 applications?" Business Insider also reports Joi AI rebranded from Eva AI in 2025, has a coin-based pricing model with an initial $13.99 monthly tier for 1,000 coins, and that PitchBook estimates the company has raised about $4 million since its 2023 founding. Business Insider reports the company confirmed the study is real but declined to share investors, revenue, or detailed user metrics.

Editorial analysis - technical context

For practitioners: human evaluation remains essential for safety, usability, and content-quality assessment when models produce explicit or intimate outputs. Industry-pattern observations note that sensitive-content testing typically requires clear consent workflows, strict anonymity and data-retention policies, and tailored annotation guidelines to capture subjective user experience without exposing reviewers to undue harm. Companies running similar studies often segregate sensitive test data from general telemetry and apply additional moderation or medical/legal review where required.

Industry context

Observed patterns in similar transitions show adult-content AI products sit at the intersection of content-moderation policy, platform rules, and payments restrictions. Payment processors, app stores, and ad platforms have historically treated explicit content differently, creating operational and compliance friction for startups pursuing monetization. The volume of public interest Business Insider reports underscores both consumer curiosity and the reputational visibility that adult-AI features generate in mainstream media.

What to watch

Industry observers will likely track how organizations handling intimate-audio datasets manage consent, anonymization, and reviewer well-being, as well as whether third-party platforms restrict distribution or payments for such features. Practitioners building evaluation pipelines for explicit content should watch for forthcoming community standards, tooling for safe annotation, and any regulatory attention on adult-oriented AI products.

Scoring Rationale #

This is a niche but notable product-level story: it highlights how human evaluators are still required for sensitive AI features and raises practical privacy and safety questions for practitioners. The immediate technical impact is limited, but operational and compliance implications matter to teams working with explicit outputs.

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