Work Hard EverywhereJob Description
Headquarters: Atlanta, AZ.
URL: https://trainbrain.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. 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.
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...
URL: https://trainbrain.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. 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.
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...