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Askable

Askable

Pequena/média empresa

Salário: Não especificado

Aceito candidatos de outras cidades/estados dispostos a se mudar para o local de trabalho

Descrição da empresa

Askable is the evidence layer for the AI-powered enterprise. It continuously captures, structures and makes real human insight queryable before anyone needs to ask a question, using AI moderated research with millions of verified participants from its own network.

Every finding traces back to a verified participant and a real session. Teams can query that evidence in seconds through Ask AI or directly inside tools like Claude, Copilot and Cursor through MCP.

Atividades e Responsabilidades

How it works
Apply. Complete a short screener interview and upload your resume.
Propose. Once you're selected, pick a change from a repository you know and submit a short proposal. We approve it or suggest a better candidate.
Build. In our platform, set up the repository as it was before the change, then write the brief, the correct solution and the grading checks.
Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them.
Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it.
Review. A reviewer checks your task and you revise it. Most tasks take more than one round.
Next task. Once your task is accepted, start another.

Requisitos

2+ years of professional software engineering
Code merged into a public open-source repository, ideally one you know well. A private codebase you own may also qualify (not employer or client code)
Strong in at least one of Python, TypeScript, Go, Rust, Java or C++
Solid with Docker, Linux, Git and automated testing
Regular use of an AI coding tool
Experience writing tests, rubrics or evaluation criteria, ideally for AI models
You can explain a change clearly and concisely, in your own words
At least 10 hours a week, starting now
A secure personal or work computer (no public or shared machines)

Nice to have
Deep expertise in one area, such as databases, compilers, distributed systems, security or infrastructure
Experience building agent tasks or RL environments



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