Software Engineer, AI Coding Tasks

Higlobe, Inc.

United States

Remoto

USD 41.000 - 50.000

Tempo pieno

40 ore fa
Candidati tra i primi

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Remote work

Descrizione del lavoro

Higlobe, Inc. seeks experienced software engineers to create AI coding tasks from repos they know well. Each task pays US$1,000 upon passing review, and you can take on as many tasks as you like.

Remote work is available from any location, with a minimum of one task per week (around 10 hours). You’ll propose a change, build the task, write the brief, the correct solution and the grading checks, then stress-test and run model evaluations until the task is solid.

Competenze

  • 2+ years of professional software engineering.
  • Code merged into a public open-source repository is preferred (or personal/private repo you own).
  • 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 for AI models.
  • Ability to explain a change clearly and concisely.
  • At least 10 hours a week, starting now.
  • A secure personal or work computer (no public/shared machines).

Mansioni

  • Turn a repository change into a task that AI models struggle with but is solvable by an engineer.
  • Write the brief, the correct solution and the grading checks.
  • Stress-test against lazy, incorrect and shortcut solutions.
  • Run the task against leading AI models for evaluation.
  • Submit revisions after reviewer feedback and repeat when needed.
  • Produce subsequent tasks after acceptance.

Conoscenze

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

Strumenti

Docker
Linux
Git

Descrizione del lavoro

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. 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.
  2. 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.
  3. Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them.
  4. Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it.
  5. Review. A reviewer checks your task and you revise it. Most tasks take more than one round.
  6. 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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