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This listing was closed on Jul 22, 2026.
Browse Open JobsRemote Software Engineer – AI Research & Evaluation
Summary by AIEngineer.careers
Remote Software Engineer – AI Research & Evaluation is a LLM Evaluation Engineer role (contract). with Turing. in REMOTE, WORLDWIDE. Compensation shown: $80K–$120K. Imported listing (source: usaremotejobs.app). Apply on the employer's site (usaremotejobs.app).
Imported listing (source: usaremotejobs.app) · Apply on usaremotejobs.app
REMOTE · WORLDWIDE
$80K–$120K
Contract
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from usaremotejobs.app
Turing, a leading research accelerator for frontier AI labs, is seeking a Software Engineer to evaluate and improve AI models. This role involves creating datasets for training LLMs, curating code examples, and collaborating with researchers. Ideal for engineers with experience at top AI companies.
Responsibilities
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code.
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions.
- Build agents and automated verification tools in Python.
- Hypothesize on steps in the software engineering cycle and evaluate model capabilities.
- Design verification mechanisms for software engineering tasks.
Requirements
- Several years of software engineering experience (3+ years).
- Strong expertise in Python with deep knowledge of frameworks and best practices.
- Experience building full-stack applications and deploying scalable software.
- Deep understanding of software architecture, design, development, debugging, and code quality review.
Turing
San Francisco · US · 4025+ employees
Turing is an AI company that provides a research accelerator for frontier AI labs and proprietary intelligence solutions for enterprises. The company helps organizations advance AI capabilities in areas like coding, reasoning, and STEM while providing access to a large, AI-vetted talent cloud of software engineers and experts.
