Angela Mujukian, MD is a medical researcher who now works on AI projects that rely on clinical judgment and real-world experience.
Her path reflects a growing reality for physicians exploring medical AI jobs outside traditional clinical roles and what changes when that work is structured around expertise, not volume.
A year ago, Angela’s schedule was split between hospital work during the week and grocery delivery on weekends. The combination was necessary to stay financially afloat, not a temporary side project.
Despite years of medical training, she was living paycheck to paycheck.
“I had always done well academically,” she says. “But financially, I was barely getting by.”
As a first-generation Armenian American and the first person in her family to become a doctor, Angela expected that medicine would eventually provide stability. Instead, she found herself burned out, with little margin for error.
When Financial Pressure Forces a Decision
By late summer, continuing as-is wasn’t sustainable. Angela chose not to renew her apartment lease and moved back home to avoid taking on additional debt.
Around that time, Mercor reached out about working on AI projects that require medical expertise.
She took the AI interview without a clear sense of how the work would compare to her existing roles. What stood out immediately was the structure: a direct evaluation of skills, followed by fast onboarding and real project work.
What Medical AI Work Requires
At Mercor, Angela began applying her medical training directly to AI systems. This included reviewing outputs, evaluating clinical reasoning, and guiding model behavior using physician judgment.
This wasn't annotation work or clerical review. The work depended on how she reads, interprets, and reasons through medical information.
“It’s not just about having an MD,” she explains. “It’s about how you think.”
For the first time in years, her full skill set was being used.
Within a few months, Angela’s situation changed in measurable ways. By December, she had paid down a significant amount of personal and professional debt and built savings for the first time.
She created an emergency fund—something she hadn’t previously had.
When unexpected expenses came up later, including a car accident, she was able to cover them without financial stress.
Choosing Medical AI Work Full Time
Eventually, Angela left her traditional full-time role to work with Mercor full time.
The decision wasn’t about leaving medicine. It was about finding sustainable physician work in AI that respected her expertise and allowed her to recover from burnout.
She now works remotely, controls her schedule, and applies medical judgment daily.
“I still contribute to healthcare,” she says. “Just in a way that fits my life.”
Before Mercor, Angela had applied to more than 100 jobs. Many led nowhere; others involved long interview processes that ended without an offer.
“With Mercor, I felt like I was being evaluated for what I could actually do,” she says.
For physicians exploring medical AI careers, that difference matters.
Start Your Own Mercor Journey
Angela is one of thousands of medical professionals that are using Mercor to apply their expertise, earn competitively, and help shape how frontier AI systems learn.
Explore opportunities with Mercor today: www.mercor.com