Hollywood screenwriters, editors and development executives are turning to side jobs training AI models as employment in the entertainment industry contracts, raising difficult questions about aiding technology that could replace creative work. Job platform data shows AI-related arts postings doubled in the last year, with specialists earning up to $100 an hour to refine generative systems-even while unions like the Writers Guild of America oppose those same tools.
How RLHF works and why it feels like a psychological experiment
Reinforcement Learning from Human Feedback (RLHF) runs in three stages. A human first scores a model's outputs-judging, for example, whether a character in a drama reacts to tragedy with jokes or grief. Once a dataset is trained on those human preferences, the AI trains a second "reward model," which then trains the original AI, removing humans from the loop.
The day-to-day work is repetitive and draining. Workers stare at screens, correcting one machine-generated response after another. One veteran writer described the setting as "an environment akin to a high-school standardized test, with a strict human proctor in the room telling people what they can and can't do." That writer asked, "How many times can you tell a machine it's wrong without losing your mind?"
Survival and curiosity drive workers toward the black box
Editor Gabe Sena said he started AI training work out of curiosity during a gap between jobs. "I'm mid-career and I don't want to be a dinosaur in my field," he told The Hollywood Reporter. "This is a thing that people are fearful of, that seems like a black box to a lot of people who aren't in the tech industry. And so it made more sense to me to try to immerse myself in it as opposed to just going, 'I don't like that it's new.'"
Former development executive Steven Woolworth, who spent a year and a half searching for a Hollywood job before finding RLHF work, saw his choice as a way to understand AI from the inside. "I can keep my head buried in the sand or I can enter this world and get a very inside perspective of what is happening in AI training and its capabilities," he said. He also noted the work "kept a roof over my head for the past year, [of] which I am deeply appreciative."
Both men stressed that they don't believe today's AI can replicate the human elements of their old jobs-Sena pointed to the subjectivity in editing, Woolworth to the in-person networking needed to discover talent. Yet the broader trend is clear: as of April 2026, nearly 11 percent of arts-related job postings on Indeed were AI-related, up from under 5 percent a year earlier.
Unions grapple with a Catch-22
The Writers Guild of America and other creative unions face a tightrope: members need income, but the work they take may accelerate the very automation leadership condemns. Two writers active in WGA politics told The Hollywood Reporter that the guild effectively cannot forbid RLHF work, particularly with so many members struggling to find regular employment. Other major Hollywood unions either declined to comment or did not respond to inquiries for this story.
Voice actor Tim Friedlander, who leads the National Association of Voice Actors, said AI training opportunities are now common on platforms used by voice talent. A NAVA survey found about 20 percent of respondents have knowingly lost jobs to AI tools. "I think in the long term it is more damaging to the entire creative sector to be training these systems," he said. Breaking Bad creator Vince Gilligan added a note of empathy: "I've been extraordinarily lucky throughout my career, so I'm not going to judge folks who are simply trying to provide for their families. I just thank god I've never been faced with that choice myself."
Why this matters for writers
The rising RLHF gig economy forces writers to confront an uncomfortable reality: the market is now paying them to help improve models that could shrink their own field. While short-term paychecks help cover mortgages and groceries, the long-term effect may be fewer writing rooms and more machine-generated scripts. For writers looking to understand this shift without crossing the invisible picket line, educational resources like AI for Writers Courses offer a way to build AI literacy on their own terms.
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