I’m in a strange professional in-between, and I’m trying to understand what this path is even called. I’m based in Brazil, and my formal career is in hospital psychology. On paper, my role is mostly expected to be emotional support inside a hospital setting. That work matters, of course, but over time I noticed that the part of the job where I feel most alive is not exactly the traditional clinical/support role. It is the part where I end up translating messy situations, institutional friction, scattered information, human needs, team communication, and unclear demands into something more structured, understandable, and actionable. That is also what drew me so deeply into AI. For the past few years, outside of any formal AI job, I’ve been building my own systems around project memory, source profiles, context boundaries, handoff packets, AI-readable documentation, knowledge governance, long-term LLM collaboration, and ways to make AI less chaotic and more useful for real human work. None of this came from a job title. It came from practice, obsession, experimentation, and from repeatedly trying to solve the same kind of problem: how do you turn complexity into usable context? And that is where I feel stuck. I have the uncomfortable feeling that some of the work I’m best at is sitting in the wrong box. In my current field, these skills don’t really have a name or a clear professional place. In AI, they seem relevant, but because I don’t come from software, data, or product, and because I don’t have a formal AI role on my CV, I don’t know how to make them legible. I’m aware that this is not the same thing as being a machine learning engineer or a software developer. I’m trying to understand whether there is a real professional lane for people whose strength is closer to context architecture, AI workflow design, knowledge management, AI adoption, documentation, and translating human or institutional complexity into structures that AI systems can actually use. In Brazil, this market still feels very niche and hard to access, especially from a non-technical background. International remote work seems more plausible in theory, because the market is broader, but I still don’t know how someone gets that first real opportunity without already having “AI experience” attached to a formal job. So I guess my question is: have you seen people enter AI work through this kind of human/context/workflow path? What roles, keywords, communities, or companies would you look at? And if you work with AI adoption, internal AI systems, agents, knowledge management, prompt/context engineering, or workflow design, does this kind of profile map to anything real in your world? submitted by /u/LilithAphroditis
Originally posted by u/LilithAphroditis on r/ArtificialInteligence