Remote AI Software Engineer — Python & Full-Stack

Turing Enterprises, Inc.

Austin (TX)

Remote

USD 14,000 - 55,000

Part time

4 days ago
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Job summary

Turing Enterprises, Inc. is seeking a Software Engineering Evaluator in the United States to help create cutting-edge datasets for training and benchmarking large language models.

The role focuses on Python-based backend services, data pipelines, and ML infrastructure, with exposure to JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate AI-generated code, improve efficiency and scalability, and collaborate with researchers and cross-functional teams to build

Qualifications

  • 3+ years of software engineering experience.
  • Strong Python expertise with production-grade software knowledge.
  • Experience building full-stack applications and deploying scalable software.
  • Deep understanding of software architecture, development, debugging, and code quality.
  • Excellent verbal and written communication for evaluation rationales.

Responsibilities

  • Curate code examples and build solutions primarily in Python.
  • Evaluate and refine AI-generated code for efficiency and scalability.
  • Collaborate with cross-functional teams on AI-driven coding solutions.
  • Build Python agents and automated verification tools to verify code quality.
  • Hypothesize steps in the software engineering cycle and test model capabilities.
  • Design verification mechanisms for solving software tasks.

Skills

Python
Full-stack development
Software architecture
Communication skills
Production engineering practices

Tools

ReactJS
Go
Rust
C/C++
Java

Job description

Turing Enterprises, Inc. is seeking a Software Engineering Evaluator in the United States to help create cutting-edge datasets for training and benchmarking large language models.

The role focuses on Python-based backend services, data pipelines, and ML infrastructure, with exposure to JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate AI-generated code, improve efficiency and scalability, and collaborate with researchers and cross-functional teams to build

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