A growing number of experienced professionals across the United States are turning to AI training work as a last resort in an increasingly unforgiving job market. Despite holding advanced degrees and decades of expertise, many older workers are finding it harder than ever to secure stable employment.
One such case is Patrick Ciriello, a 60-year-old software systems expert who, after losing his job, spent nearly a year applying for roles without success. Having previously worked across industries including banking, education and pharmaceuticals, he found himself homeless with his family at one point, even living out of a car while continuing his job search.
His breakthrough came unexpectedly through a LinkedIn message offering a “content writer” role, which turned out to involve training artificial intelligence systems. Today, he evaluates AI-generated responses work that reflects a broader trend known as data annotation, where human expertise is used to improve models developed by companies like OpenAI, Google and Meta.
For many, including Ciriello, such work is not a career choice but a necessity. AI training jobs often pay significantly less than traditional professional roles and lack stability or benefits. Still, they offer a lifeline in a labor market where age bias remains a persistent barrier. Studies show that workers over 60 take considerably longer to find new employment and rarely regain their previous income levels.
Similar challenges have been faced by professionals like Rebecca Kimble, a former emergency medicine doctor who transitioned into AI training after health issues and career gaps made returning to clinical work difficult. While she finds the work intellectually engaging, she describes it as a temporary solution rather than a long-term career.
Experts suggest that AI training is becoming a modern version of “bridge jobs” roles that help older workers stay financially afloat as they approach retirement. Unlike traditional alternatives such as retail or gig driving, AI-related work allows professionals to leverage their existing skills, though often at a fraction of their former earnings.
However, the work comes with uncertainty. Many positions are contract-based, with inconsistent hours and no long-term security. Some workers worry that by training AI systems, they may be contributing to technologies that could eventually replace human roles altogether.
Even so, for many, the immediate need outweighs long-term concerns. As economic pressures mount and opportunities shrink, AI training has emerged as both a stopgap and a symbol of a rapidly changing workforce one where even the most experienced professionals must adapt to survive.
Keywords:
AI training jobs, older workers employment crisis, US job market 2026, data annotation work, AI gig economy, age discrimination jobs, OpenAI training work, Google AI jobs, Meta AI contracts, future of work
Asian Burg | Global Desk
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