FACULTY CALL · VOLUNTEER, NAMED, IN WRITING
Pawanax Academy is building a school of practical AI, taught by the people who did the work. We are inviting experienced clinicians, operators, support leads, credit officers, makers and reviewers to teach as voluntary faculty. Some of you were recently let go. You do not have to be over it to apply.
Voluntary launch-phase roles. Written terms first. No work on spec.
THE PART NOBODY WRITES DOWN
9:04 am
The email arrives while the kettle is still heating. The subject line is about your role. You read it twice, the way you would reread a clause you need to explain to someone else.
9:40 am
Your badge still opens the side door on Monday. On Wednesday it does not. The guard looks at the screen, then at you, and says nothing.
11:15 am
The team channel keeps scrolling. Your name stops appearing in the mentions, and nobody is sure whether it is kind to message you.
1:30 pm
A cardboard box holds what fits under one arm: a mug, a notebook, a pen you bought yourself, and a plant nobody watered in your last week.
7:45 pm
The old group chat asks, kindly, 'any leads?' You type three replies, delete two, and send a thumbs-up.
10:20 pm
At dinner your partner asks careful questions about the savings, in the voice people use when they are trying not to be afraid for you.
Week two
You turn the 'open to work' banner on, then off, then on again. You hate it. It is also the only honest line on your profile.
Any hour
A model writes a clean paragraph in your field. You see, before any checker does, the sentence that is wrong. The judgment did not leave when the job did.
That judgment is the part no job description could hold, and it is the part a school needs most. Models are getting good at the shape of work, but they still need a person who can tell a safe discharge from a plausible one, and a sound file from a risky one. At Pawanax Academy, your judgment is the curriculum: you set the standard, review what learners make, and decide what is ready.
The judgment did not leave when the job did.
WHAT WE BELIEVE
Some of you are angry, and that is a fair response to decisions made without you. Some of you are tired, and some of you are simply good at your work and want to keep doing it. This school rests on one idea: people who know how the work is done should be willing to teach it, and should keep the final say on what good looks like.
We start with what you know how to do. The layoff is context, not the headline of your application or of this page.
Your name goes on the work you teach and review. You leave with a named profile, a portfolio and teaching evidence, and a structured path into AI skills.
Some companies have used AI tools to reduce roles. Those tools make some tasks faster and make some mistakes. We will teach you where the mistakes come from.
Teaching beside people who did the same work, with the same years behind them, is different from being taught by someone who never had to do it.
Four facts we can print, each with its source. They describe studies and counts, not outcomes for you. Stated reasons for job cuts are not measures of cause.
About 54,800
In 2025, US employers cited AI for about 54,800 announced job cuts, per Challenger, Gray & Christmas. Stated reasons are not measures of cause.
Challenger, Gray & Christmas, 2025 year-end reportEarly career
A Stanford study found relative employment declines for early-career workers in the most AI-exposed jobs. Experienced workers were stable. Causes are debated.
Brynjolfsson, Chandar and Chen, Canaries in the Coal Mine? (Stanford Digital Economy Lab)758 consultants
In a field experiment, AI helped consultants on tasks it suited and hurt them on tasks it did not. Knowing that boundary mattered.
Dell'Acqua et al., Navigating the Jagged Technological Frontier65.7%
Most long-tenured workers displaced in 2021 to 2023 were back in work by early 2024. A sizeable minority were not.
US Bureau of Labor Statistics, Displaced Worker Supplement (January 2024)No evidence yet shows that learning AI skills speeds re-employment, and we do not promise jobs. Pawanax Academy is a launch-phase school with voluntary faculty. It is not a placement service, and no course here guarantees an outcome.
Our faculty are people who did the work. They teach what they did, in the terms they used at work, and they review what learners make against that standard.
Each role states its scope and its terms in writing before you start.
Every cohort has a named Dean and a Faculty Lead. You are never the only signature on your work.
We use AI as a tool with limits. It drafts and drills. People judge, decide and sign.
We would rather publish a short, plain page than a loud one. If we cannot back a claim with a source or a signed term, it does not appear here.
Send your years of work, your field, and one thing you would teach first. Attach your CV as a PDF. Leave out client names and confidential details of any former employer.
A Faculty Lead reads every application. We reply within five working days with a yes, a no or a not yet, and the reason for it.
If there is a fit, we talk on the channel you prefer, in person, on the phone or by video. You are welcome to bring a colleague.
You receive the role's terms in writing, with the scope, the start date and the cancellation terms, and the role is voluntary. You have at least 48 hours before you sign. No work starts before that, and no sample task starts without written terms.
You teach alongside a named Dean and Faculty Lead, in voluntary sessions. You can leave at the end of any agreed term, with your work and your credit kept.
Faculty roles are the first rungs. Each rung is a voluntary role with a written scope. You can stay on any rung as long as the work is good and the cohort runs.
Teach one session or review one round, as a voluntary role. A good place to start, and a fair test for both sides.
Teach a named cohort in your field, as a voluntary role. You set the standard for your part of the work and review what learners produce.
Stay on a client's floor after the cohort ends, as a voluntary role, and keep the practice honest. Requires builder-level proof of an agent run for real users.
Own a lane's curriculum or one school's quality, and sign the records. Part-time, for an agreed term. Your signature is the record.
If you want to build AI tools as well as teach them, there is a written path, and it is voluntary. You start with the work you already know, and each step has a written proof.
Taking this track is optional.
Every role states its scope and terms in writing before you apply.
Each role below is a voluntary launch-phase role with a named Dean or Faculty Lead. Titles are plain, so you can find them. The first line of each one is written for the person who has done that work for years. If none fits, the open application is always open.
15 roles
Live listings are not available right now, so these are the current role briefs. Each role page confirms its terms before you apply.
Ward and clinic judgment, taught to the clinicians who will use AI at work.
You know which line in a discharge summary a tired nurse will skip at four in the morning.
Forms, approvals and the exceptions nobody wrote down. Teach the checks speed misses.
You know the exception that was never written down, and the approver who signs anyway because you asked properly.
Years of real customer messages. Teach the reply, and the handoff to a person.
You can tell from the first line of a message whether a customer is angry, confused or about to leave, and you have answered a hundred of them before breakfast.
Years of reading credit files. Teach faster reading, and keep the decision with people.
You know a complete file when you see one, and you can sense a bad story in a bank statement before the numbers prove it.
Years of real work in your field? Tell us what you know. We will reply with a path.
You know a field the Academy has not reached yet, and you have done that work long enough to teach it.
Direct, compose or design. You keep the taste, the vision and the credit.
You have sat in an edit suite at three in the morning, or heard your own track played back to a room of strangers, and known within a bar whether it worked.
Check the AI grader's work. Keep rubrics honest and scores defensible.
You have spent years checking other people's work against written standards, as an auditor, examiner, engineer or editor.
Guide learners through real process maps, expert interviews and live capstones.
You know where the work actually happens, not where the manual says it does.
Read the transcripts of spoken capstone checks, and decide what they show.
You have sat on panels and hearings, and you can tell an answer that shows understanding from one that repeats a script.
Keep the practice alive on the client's floor, for the 8 to 10 learners in your lane.
You know a practice survives only if someone keeps checking it after the trainers have left.
Own the quality of one school: its lessons, its tutors' transcripts and its learners.
You have taught or assessed people in your subject for years, and you know a weak lesson when you sit through one.
Own a lane's curriculum and sign its proofs. Your signature is the record.
You have made decisions that other people relied on, and you know the weight of a signature someone will check two years from now.
Teach your own domain while you learn to build AI. A voluntary apprenticeship.
You already know your domain well enough to teach it, even if you have never written a line of code.
Teach and build on live client engagements, with a Builder proof behind you.
You have already taught or built in the field, where the process is messy, the people are tired and the stakes are real.
Host a small study pod, keep it warm and honest, and help each member finish.
You have held a room of people who were nervous about starting again, and you know how one quiet question can change a whole evening.
Voluntary launch-phase role. Pawanax is not paying faculty or interns at this time, and we say so up front. What you do get: public credit and a named profile, portfolio and teaching evidence, structured upskilling into AI roles, references on request, flexible hours, and clean-room protection. Written terms are shared before you commit to anything, and no work starts before then.
No. Anyone with at least eight years of craft can apply, whether you were laid off, left a role, work for yourself or are happily employed. Your layoff status is a voluntary, private answer. You do not need to be over it to apply.
Many faculty roles are part-time or cohort-based, so they can fit around other work. Check your current contract, notice period and any non-compete first. We will ask you to declare any restriction before you start, and we will not ask you to break one.
Bring your craft, not your former employer's secrets. Do not send documents, slides, data, code, prompts, pricing or client names, even edited ones. Examples are built from general practice, public sources or synthetic material. You will sign a short declaration listing any NDA, non-compete or non-solicit you hold.
We ask for years of craft, not your birth year, and the form does not ask your age. Senior practitioners are wanted for the faculty roles. Where a role needs a particular level of record, the role says so in plain words.
Remote roles are open to people in Africa, with eligibility confirmed in writing before you start. Nairobi roles are hybrid. If you live outside Kenya and would need to work in person, we will explain the work permit position before we discuss terms. We have not yet confirmed the position for every country.
Only with your separate, written consent. You can agree to recording for teaching records, internal use, public use and AI training, each on its own. AI training is off by default, and you can withdraw consent later.
Start with what you know. Faculty roles teach your domain, and the AI tools are introduced step by step with a Faculty Lead beside you. A faculty role does not require coding. If you want to learn to build, the Teaching Fellow path is a voluntary, written path in stages.
A human reads every application: a Faculty Lead for teaching roles and a Dean for lane roles. We reply within five working days with a yes, a no or a not yet, and the reason. A yes leads to a conversation, then written terms, before any work starts.
Only the Academy team who read your application. We do not share it with any employer, recruiter or partner. You can leave the question blank, and you can ask us to withdraw your application and delete your details at any time.
Someone you know may have years of real experience and no title for it yet. Send them this page in your own words. We never see your contacts, and nothing is sent on your behalf.
You choose who receives this. Pawanax does not contact them, and does not store their details.
Read the roles at your own pace. Nothing here asks you to decide today, and every role states its terms before any work starts.