In a surprising turn for the entertainment world, a data training firm is recruiting improv actors and performers to help artificial intelligence companies better understand human emotions. Handshake AI, a company that supplies specialized training data to major AI labs including OpenAI, posted a job listing seeking individuals with backgrounds in acting, improv, sketch comedy, or theater. The role, which promises an average pay of $74 per hour for part-time, flexible work, involves unscripted video sessions where participants improvise scenes and explore characters to generate data for one of the world's leading AI companies.
The listing, first reported by The Verge on an unspecified recent date, emphasizes the need for performers who can "recognize, express, and shift between emotions in a way that feels authentic and human." It describes the tasks as collaborative improv projects over video, where matched participants receive a light prompt or scenario to explore together. Sessions are designed to be "unscripted and open-ended," allowing for natural responses and creative freedom, with the goal of creating interactions that feel "grounded, human, and fun to play." Handshake AI, which declined to comment on the specifics of the project or its end use, is part of a growing industry racing to fill gaps in AI models' capabilities.
AI systems, often characterized as "jagged" in their performance—excelling at complex tasks while stumbling on simpler ones—require niche data to improve. Companies like Handshake, Mercor, and Scale AI have pivoted to hire experts from diverse fields, including chemists, doctors, lawyers, and now entertainers, to label and generate specialized datasets. According to The Verge's December reporting, Handshake's demand for training data tripled last summer, pushing the company past a $150 million annual run rate by November. This surge reflects the broader push by AI developers to enhance their models' emotional intelligence and multimodal features, such as voice interactions with realistic inflections.
The recruitment of performers comes amid rapid advancements in AI's ability to handle voice and emotion. OpenAI, a key client of data firms like Handshake, introduced an Advanced voice mode for ChatGPT in 2024, offering users a selection of different voices. Elon Musk's xAI has integrated voice chat into its Grok model, while Anthropic's Claude has provided a voice feature in beta since May of the previous year. These developments aim to make AI conversations more natural, but they rely heavily on high-quality, human-generated data to train the systems on tone, emotion, and spontaneity.
While the job appeals to actors seeking flexible gigs alongside auditions and rehearsals, it has sparked unease in creative communities. On Reddit's r/improv forum, users have dissected the listing, with reactions ranging from curiosity to concern. One commenter described it as "dystopian," suggesting, "It’s clearly just an attempt to get people to train AI models to create AI generated videos." Another expressed skepticism about the intent, writing, "I think they are trying to teach it human conversation not how to be an improviser. My plan was to sabotage the inputs."
Humor mixed with apprehension in other responses, as one user joked, "Now AI is coming for our lucrative improv comedy jobs." A more optimistic voice predicted a backlash against AI-driven content, stating, "I predict a resurgence of live comedy from people being sick of online services and wanting some rough around the edges, real, face-to-face entertainment. I think that could be a great marketing angle for improv teams: come see real, unpolished, laugh out loud comedy, NOT made by a computer." These discussions highlight a tension between the immediate financial incentives and long-term fears about AI encroaching on artistic professions.
Professionals in other fields contributing to AI training data have voiced similar worries. Screenwriters, lawyers, and medical experts hired by firms like Handshake have expressed concerns that their work could accelerate the obsolescence of their own careers. As AI models ingest vast amounts of specialized knowledge, the line between augmentation and replacement blurs, particularly in creative domains where authenticity is paramount. The improv project, by focusing on emotional nuance, underscores how AI labs are targeting the uniquely human elements that have long defined performance arts.
Handshake's model involves matching performers for remote sessions, ensuring the data captures real-time, interactive dynamics rather than scripted dialogues. The listing specifies that participants should maintain a character's voice throughout scenes, testing the limits of large language models' (LLMs) understanding of human tone and emotion. While the exact AI lab behind the project remains unnamed, the emphasis on "one of the leading AI companies" points to frontier developers pushing boundaries in emotional AI.
Pay and flexibility, touted as perks, come with caveats. The Verge recently reported that initial rates for such gigs often decrease after signup, and the availability of tasks can fluctuate unpredictably, forcing workers into competition for limited slots. What starts as an "easy to fit" side hustle may demand more commitment than advertised, echoing complaints from other data labelers in Handshake's network of tens of thousands of professionals across industries.
This initiative fits into a larger pattern of AI companies seeking human input to refine their systems. Since the early days of ChatGPT's voice testing, the industry has invested heavily in making AI more conversational and empathetic. Multimodal models now generate not just text but images, videos, and spoken responses, all informed by datasets that mimic human variability. For performers, this means lending their improvisational skills to algorithms that could one day generate synthetic comedy or dialogue, raising questions about intellectual property and artistic integrity.
Broader implications extend to the entertainment sector at large. As AI tools like those from OpenAI and xAI evolve, they could disrupt live performance markets, from theater to stand-up, by offering cheap, on-demand alternatives. Yet, as Reddit users suggest, audiences may crave the imperfections of human interaction, potentially boosting demand for authentic live experiences. Industry observers note that while data training provides short-term income, it contributes to a feedback loop where AI improves at the expense of human jobs.
Looking ahead, the success of projects like Handshake's could accelerate AI's emotional capabilities, leading to more sophisticated virtual companions and entertainment bots. Regulators and unions may scrutinize these practices, especially regarding consent and compensation for data used in commercial AI products. For now, improv actors weigh the opportunity against the irony of training their potential successors. As one Reddit poster put it, the gig offers a paycheck but at the cost of feeding the machine that's learning to laugh—and perhaps replace them.
In Appleton, where local theater groups have long thrived on community improv nights, this news resonates with performers navigating a changing landscape. Whether this marks the beginning of AI's foray into comedy or just another data hustle remains to be seen, but it signals how deeply technology is weaving into the fabric of creative work.