Remote Research Engineer - Code Gen & Model Evaluation

Zekai

United States

Remote

USD 34,000 - 96,000

Part time

14 days+

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Job summary

Zekai is seeking a Research Engineer to work on code generation and model evaluation in a remote, contractor capacity. You will analyze multiple language codebases, help design new features, and contribute to robust, well-documented outputs for AI training and evaluation.

Applicants should bring strong problem-solving skills, a track record of open-source contributions, and experience working in distributed teams. Start within 48 hours and operate on a task-based compensation model.

Qualifications

  • Strong problem-solving and competitive programming background.
  • Open-source contributions or participation in collaborative software projects.
  • Experience working in a remote, distributed team and communicating technical details clearly.

Responsibilities

  • Analyze, debug, and resolve issues across Python3, Java, Rust, C++, Go, or TypeScript codebases.
  • Contribute to design and implementation of new features and enhancements for code generation workflows.
  • Refactor and optimize codebases for performance and maintainability.
  • Develop and review real-world coding tasks to evaluate AI model performance and accuracy.
  • Author clear feedback and annotations to support model training and assessment.
  • Collaborate with open-source contributors and stakeholders to set technical direction.
  • Document technical decisions, best practices, and solutions for transparency.

Skills

Python3
Java
Rust
C++
Go
TypeScript

Job description

Zekai is seeking a Research Engineer to work on code generation and model evaluation in a remote, contractor capacity. You will analyze multiple language codebases, help design new features, and contribute to robust, well-documented outputs for AI training and evaluation.

Applicants should bring strong problem-solving skills, a track record of open-source contributions, and experience working in distributed teams. Start within 48 hours and operate on a task-based compensation model.

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