AI-Focused Full-Stack Engineer (Contractor)

Turing Enterprises, Inc.

Boston (MA)

Remote

USD 83,000 - 138,000

Part time

48 hours ago
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Job summary

Turing Enterprises, Inc. seeks a Software Engineering evaluator in the United States to create cutting-edge datasets for training and benchmarking large language models, with a primary focus on Python across backend services, data pipelines, and ML infrastructure.

You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions.

Qualifications

  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Responsibilities

  • Curate and evaluate AI training datasets, primarily in Python.
  • Build and refine verification tools to assess code quality and reliability.
  • Collaborate with researchers and cross-functional teams on enterprise AI coding solutions.
  • Evaluate AI-generated code for efficiency, scalability, and correctness.
  • Hypothesize on software engineering cycles and assess model capabilities.

Skills

Python
Full-stack development
Software architecture
Code review
Communication

Job description

Turing Enterprises, Inc. seeks a Software Engineering evaluator in the United States to create cutting-edge datasets for training and benchmarking large language models, with a primary focus on Python across backend services, data pipelines, and ML infrastructure.

You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions.

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