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AI Trainer Jobs

Software Engineer

micro1 · 100% remote · Contract · Posted

Pay
$50–100/hr
Location
Worldwide
Languages
English
Hours
Approximately 15 hours/week
Openings
100
Level
Expert
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Summary

Create challenging software engineering tasks for AI training, with reproducible environments, deterministic verification, and reference solutions. Payment depends on accepted tasks.

What you'll do

  • Design coding tasks involving bugs, features, refactoring, or performance.
  • Define each problem and build a reproducible environment.
  • Write deterministic verifiers that accept valid solutions and reject incorrect or hard-coded approaches.
  • Provide a reference solution for each task.
  • Meet minimum weekly task submission requirements.

Requirements

  • Significant expertise in Python3, Java, Rust, Go, C++, or TypeScript.
  • Deep knowledge of algorithms, data structures, and software engineering.
  • Ability to debug complex systems and optimize performance.
  • Experience with large codebase refactoring and legacy modernization.
  • Experience delivering features across teams.
  • Strong technical documentation and communication skills.
  • Start tasks within 24–48 hours after onboarding if selected.

Skills

  • Python
  • Java
  • Rust
  • Algorithms
  • Basics C++
  • TypeScript
  • Bug Fixing
  • Feature Implementation
  • Codebase Refactoring
  • Performance Optimization

Full description

Role Title: Senior Software Engineer


Role Type: Contractor (~15 hrs a week)


Location: Remote


micro1 is selecting Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.


Scope of Work

  1. On this project, you will create realistic, interesting, and extremely challenging coding tasks for frontier AI models using your favourite repositories!


  1. You will design problems that require strong software engineering skills, such as tracking down subtle bugs, building non-trivial features, or improving performance.


  1. For each task, you will define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches. You will also provide a reference solution showing how the task can be solved.


Preferred Qualifications

  1. Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
  2. Deep understanding of algorithms, data structures, and software engineering principles.
  3. Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
  4. Experience with large codebase refactoring and legacy system modernization.
  5. Track record of delivering high-impact features from conception through delivery within cross-functional projects.
  6. Strong documentation and communication skills to articulate technical concepts clearly.
  7. Interest in or curiosity about AI and its technical challenges (previous AI experience not required).


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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