Senior Software Engineer for AI Training Environments

EVB

United States

Remote

USD 60,000 - 120,000

Full time

14 days+
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Job summary

EVB is seeking expert Senior Software Engineers to support a customer’s innovative AI project. You will help train next-generation AI systems by shaping how models learn, reason, and perform through high-quality real-world input.

No prior AI experience required; domain knowledge matters. You will create Reinforcement Learning Environments to test AI model solving of coding tasks, refactoring, feature creation, and performance optimization, with reproducible environments and golden reference

Qualifications

  • Significant hands-on expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript.
  • Strong understanding of algorithms, data structures, and software engineering principles.
  • Proven ability to debug complex systems, resolve bugs, and deliver optimizations.

Responsibilities

  • Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
  • Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
  • Implement robust new features with scalable, maintainable design.
  • Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
  • Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
  • Review and validate peer-contributed code and submissions for accuracy and clarity.

Skills

Python3
Java
Rust
Go
C++
TypeScript

Job description

EVB is seeking expert Senior Software Engineers to support a customer’s innovative AI project. You will help train next-generation AI systems by shaping how models learn, reason, and perform through high-quality real-world input.

No prior AI experience required; domain knowledge matters. You will create Reinforcement Learning Environments to test AI model solving of coding tasks, refactoring, feature creation, and performance optimization, with reproducible environments and golden reference

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