[Hiring] Software Engineer, AI Coding Tasks @Askable

Remotive SARL

United States

Remote

USD 52,000 - 60,000

Full time

34 hours ago
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Job summary

Askable is seeking a remote Software Engineer focused on AI coding tasks. You will transform a known repository into challenging tasks for AI models, delivering a short proposal, a correct solution, and robust grading checks. The role offers $1,000 per task, with a minimum of one task per week and around 10 hours weekly.

This is a globally remote opportunity with no location constraints. Applicants should have 2+ years of software engineering, familiarity with several languages (Python,

Qualifications

  • 2+ years of professional software engineering.
  • Code merged into a public open-source repository, ideally one you know well.
  • Solid knowledge of at least one of Python, TypeScript, Go, Rust, Java or C++.
  • Familiarity with Docker, Linux, Git and automated testing.
  • Regular use of an AI coding tool.
  • Experience writing tests, rubrics or evaluation criteria for AI models.
  • Ability to explain a change clearly and concisely.

Responsibilities

  • Create AI coding tasks from a repository you know well.
  • Write the task Brief, the correct solution, and the grading checks.
  • Set up the repository state, then run and validate tasks.
  • Stress-test tasks against different approaches and edge cases.
  • Repeat rounds of review and revision with a reviewer.

Skills

Python
TypeScript
Go
Rust
Java
C++
Docker
Linux
Git
Automated testing

Tools

Open-source repositories

Job description

Oct 17, 2026 - Askable is hiring a remote Software Engineer, AI Coding Tasks. Salary: $1000 per task. Location: Worldwide.

We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. US$1,000 per task, and you can do as many tasks as you want.

You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer. Your tasks are used to measure and train AI coding models.

Remote, any location. US$1,000 per task that passes review. Minimum of one task a week, about 10 hours a week.

How it works
  1. Apply. Complete a short screener interview and upload your resume.
  2. 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.
  3. 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.
  4. Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them.
  5. Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it.
  6. Review. A reviewer checks your task and you revise it. Most tasks take more than one round.
  7. Next task. Once your task is accepted, start another.
Requirements
  • 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
Terms
  • US$1,000 for each task that passes our quality review, paid directly to you
  • Once your proposal is qualified, you sign Askable's contract and accept its terms
  • The work is used for AI training. The change and your solution must be your own, and you must be free to license them to us
  • Don't publish the work anywhere: no public pull request or public fork
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