Jobs · Information Technology

AI Engineer

GigFinder.ai · Indiana, United States · Yesterday
Information TechnologyContract

Job Summary

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 an AI model's ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.

Tasks

  • Fixing bugs
  • Implementing features
  • Refactoring code
  • Optimizing performance
  • Designing reproducible environments
  • Developing deterministic verification
  • Creating golden reference solutions

Required Skills And Qualifications

  • Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust
  • Deep understanding of algorithms, data structures, and performance tuning
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions
  • Strong background in feature development and codebase refactoring
  • Proven ability to optimize software for performance and scalability
  • Exceptional written and verbal communication skills, with a keen attention to detail
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings

Preferred Qualifications

  • Previous experience working on large-scale, distributed codebases
  • Familiarity with modern AI or machine learning systems
  • Background in participating in rigorous code reviews and contributing to the development of software best practices

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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