Software Engineer, AI Coding Tasks (Contract)

Posted Yesterday
Hiring Remotely in Remote, OR, USA
In-Office or Remote
1K-1K Annually
Junior
Software
Askable helps UX/CX/pruduct/marketing teams unlock insights and scale research capacity on-demand
The Role
Build challenging AI coding tasks from familiar repositories, including task briefs, correct solutions, grading checks, stress tests, and model evaluations. Revise tasks through quality review and produce work suitable for training and assessing AI coding models. Requires at least 10 hours weekly and strong software engineering, testing, repository, and AI coding tool experience.
Summary Generated by Built In

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

 

Apply at https://www.askable.com/experts/roles/senior-software-engineer

Skills Required

  • 2+ years of professional software engineering experience
  • Code merged into a public open-source repository, ideally one the candidate knows well; qualifying private codebases must be owned by the candidate
  • Strong proficiency in at least one of Python, TypeScript, Go, Rust, Java, or C++
  • Solid experience 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
  • Ability to explain software changes clearly and concisely
  • Availability for at least 10 hours per week, starting immediately
  • Access to a secure personal or work computer; public or shared machines are not permitted
  • Deep expertise in an area such as databases, compilers, distributed systems, security, or infrastructure
  • Experience building agent tasks or reinforcement-learning environments
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The Company
HQ: Brisbane
75 Employees
Year Founded: 2017

What We Do

Access the world’s best researchers and perfect participants, all in one powerful research platform. Get insights fast. Empower teams to make decisions faster.

Why Work With Us

We believe work should be fulfilling, exciting, and meaningful. Here, you’re not just part of a team. You’re part of a community that cares about what they’re building and how they’re building it.

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