How AI Data-Labeling Gigs Became Gen Z's New Side Hustle

A growing share of young workers are patching together income streams instead of climbing a single career ladder, and AI training work has become one of the more unusual entries on that list. Alongside OnlyFans and freelance gigs, platforms that pay people to help train large language models are emerging as a legitimate, if unconventional, income source for a generation squeezed by housing costs and stalled wage growth.

The scale of this shift shows up clearly in the numbers. Surveys cited in recent commentary find that 57% of Gen Z workers now report having a side hustle, a notably higher rate than older generations report having held at the same age.

Ambition itself looks different too. Just 6% of Gen Z respondents say reaching a leadership role is their main career goal, a figure that reframes what "career progress" even means for this cohort. Rather than climbing toward management, many are optimizing for flexibility, multiple income streams, and control over their own time.

Where AI work fits in

This is where AI-adjacent labor enters the picture. Companies like Mercor connect white-collar workers, including engineers, writers, and subject-matter experts, with tasks that involve training and evaluating LLMs: labeling data, grading model outputs, writing and reviewing prompts, or stress-testing chatbot responses.

For workers, this kind of work offers something traditional employment increasingly doesn't: it's project-based, often remote, and can be picked up alongside other gigs. It doesn't require relocating for a job or committing to a single employer's career track, which matters when full-time roles feel less stable than they used to.

The broader public seems to be catching up to this reality rather than resisting it. More than half of Americans surveyed say they view "portfolio careers," where a person strings together several part-time or contract roles instead of one job, as a more desirable model for the future workforce than the traditional single-employer path.

Only 6% of Gen Z say a leadership position is their primary career goal.

That statistic captures the underlying shift better than any trend piece could. It's not that ambition has disappeared. It's that the traditional markers of success, homeownership, a corporate title, a single stable employer, have become harder to reach and, for many young workers, less appealing as goals worth structuring a life around.

AI training platforms didn't create this shift, but they've become a convenient outlet for it. As LLM developers keep needing human feedback to refine their models, that demand for flexible, task-based labor is likely to keep intersecting with a generation already primed to look for income wherever it can be found.