Expert AI Trainers in Coding, Finance & Accounting, and Medicine/Nursing
Job Overview
. space/ What if the work you already do every day - shipping code, closing books, reading charts - became the training signal that teaches frontier AI how to think in your field? TrainBrain builds expert-authored training data and evaluations for AI labs.
We're hiring practising professionals to write, solve, and grade the tasks advanced models are measured against.
Job Description
When a model returns a broken function, a wrong reconciliation, or an unsafe clinical suggestion, it's because no expert caught it during training. You'd be that expert. This isn't your day job in a new wrapper.
There are no clients, no month-end close, no tickets, no on-call. You work in writing, on your own schedule, on problems chosen to sit right at the edge of what current models can handle. No AI background required - we train you on the tooling.
Track 1 - Software Engineering Write, debug, and optimise code across languages and problem domains. Review AI-generated solutions for correctness, security, and performance, and design edge cases that expose model weaknesses.
Provide structured feedback explaining why code works - or doesn't - and compare competing solutions on engineering quality.
Write clinical vignettes with defensible, sourced answers, verify model outputs against current evidence, and document precisely where reasoning breaks down.
Key Responsibilities
- TrainBrain builds expert-authored training data and evaluations for AI labs.
- Build the underlying data and source documents so each scenario is realistic, write rubrics specifying exact figures and required reasoning steps, then solve every task yourself to confirm the numbers hold.
- You're responsible for your own taxes, and company-sponsored benefits such as health insurance, PTO, and retirement contributions don't apply.
Required Skills and Qualifications
- No AI background required - we train you on the tooling.
- You'll need: Advanced proficiency in Python, JavaScript/TypeScript, Java, C/C++, Go, or Rust A solid grasp of data structures, algorithms, and software design principles A CS degree or equivalent professional experience Nice to have: Open-source contributions or competitive programming Distributed systems, cloud, or DevOps background Code review, technical writing, or mentoring experience Track 2 - Finance & Accounting Author reconciliation scenarios: payment-to-invoice matching, billing versus recognised revenue, margin and variance analysis.
- Build the underlying data and source documents so each scenario is realistic, write rubrics specifying exact figures and required reasoning steps, then solve every task yourself to confirm the numbers hold.
- Hands-on experience as an accountant, financial analyst, controller, or auditor Working knowledge of revenue recognition, matching principles, and standard close workflows Comfort with financial documents, spreadsheets, and accounting system outputs CPA, CA, ACCA, CIMA, or CFA IFRS or US GAAP depth ERP familiarity (SAP, Oracle, NetSuite, QuickBooks) Audit, financial controls, or revenue assurance background Track 3 - Medical & Clinical Challenge models on differential diagnosis, drug interactions, treatment protocols, pathophysiology, and evidence appraisal.
- An MD, DO, MBBS, PharmD, RN/BSN, or advanced health sciences degree Real clinical or research experience Command of medical terminology and clinical reasoning Board certification or active licensure A specialty focus (internal medicine, oncology, psychiatry, emergency medicine, radiology, nursing practice) Peer-reviewed publications Clinical trial, epidemiology, or medical education experience What the work demands Whatever your track, four things matter more than anything else.
Benefits and Perks
- You're responsible for your own taxes, and company-sponsored benefits such as health insurance, PTO, and retirement contributions don't apply.
USA Jobs Today role summary
Role Summary
Expert AI Trainers in Coding, Finance & Accounting, and Medicine/Nursing at TrainBrainSpace is a remote United States position and is listed as Full Time.
space/ What if the work you already do every day - shipping code, closing books, reading charts - became the training signal that teaches frontier AI how to think in your field?
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This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
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