Senior Software Engineer – AI Coding Benchmarks
⚲ Warszawa
25 368 - 25 368 PLN (UOD)
Wymagania
- Python
- JavaScript
- SQL
- Kafka
- Docker
- REST
Opis stanowiska
O projekcie:
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Effort estimate
Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation
Up to $40/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.
Wymagania:
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
You'll create challenging tasks and evaluation criteria within realistic simulated environments:
- Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history- Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent- Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient- Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust
What this is NOT
- Not data labeling- Not prompt engineering- Not writing code from scratch - the agent writes most of the code; you guide and evaluate
What we look for
- 5+ years in software development- Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis- Experience writing tests (functional, integration)- English proficiency - B2+
Why this is hard
Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.
Codzienne zadania:
- We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
- You'll create challenging tasks and evaluation criteria within realistic simulated environments:
- Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
- Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
- Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
- Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robus
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Effort estimate
Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation
Up to $40/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.
Wymagania:
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
You'll create challenging tasks and evaluation criteria within realistic simulated environments:
- Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history- Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent- Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient- Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust
What this is NOT
- Not data labeling- Not prompt engineering- Not writing code from scratch - the agent writes most of the code; you guide and evaluate
What we look for
- 5+ years in software development- Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis- Experience writing tests (functional, integration)- English proficiency - B2+
Why this is hard
Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.
Codzienne zadania:
- We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
- You'll create challenging tasks and evaluation criteria within realistic simulated environments:
- Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
- Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
- Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
- Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robus
🔍 Dekoder Ogłoszenia
🔴
Up to $40/hr equivalent, depending on level and pace.
Realne wynagrodzenie może być niższe niż maksymalna podana kwota, a jego wysokość zależy od Twojej oceny i szybkości pracy.
🔴
Tasks for this project are estimated to take 20 hours to complete, depending on complexity.
Szacowany czas pracy nad zadaniem może być niedoszacowany, a rzeczywiste wykonanie może wymagać więcej czasu.
🔴
This is an estimate and not a schedule requirement; you choose when and how to work.
Elastyczność w wyborze czasu pracy jest ograniczona przez konieczność dotrzymania terminów i spełnienia kryteriów akceptacji zadań.
🟡
Participation is project-based, not permanent employment.
Jest to praca kontraktowa na określony projekt, a nie stałe zatrudnienie z pełnym pakietem socjalnym.
🟡
We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
Głównym celem projektu jest tworzenie danych do testowania sztucznej inteligencji, a nie bezpośrednie tworzenie produktu dla klienta.