Land a Remote Job
Turing · Remote job

Senior Code Quality Engineer – LLM Training and Evaluation

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Turing when you’re readyApply on Turing →

You apply directly on Turing's site. Applying is free. Posted Sep 29, 2026.

Get alerts for new jobs onTelegram
STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Turing screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on Turing →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

STEP 2 · APPLY

Apply for this role

You apply on Turing's own site. It’s free, and you can apply even if you skip the practice.

Apply on Turing →

Who this role suits

Working engineers who want flexible, project-based remote work that uses their coding and review skills. A strong portfolio or GitHub helps.

QA

Full job description

About Turing:

Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

About the Role

We are looking for senior software engineers with 7+ years of industry experience to support the training and evaluation of large language models. In this role, you will review, analyze, and improve AI-generated code, ensuring that it is correct, secure, maintainable, scalable, and aligned with production engineering standards.

This is a code quality and engineering evaluation role—not a traditional software testing or manual QA position. You will apply your software engineering judgment to assess implementation quality, identify root causes, and recommend or implement robust solutions.

What Does Day-to-Day Look Like?

  • Review and evaluate AI-generated code across different programming languages and software engineering scenarios.

  • Assess code for correctness, reliability, security, scalability, readability, and maintainability.

  • Identify bugs, logical errors, incomplete implementations, edge-case failures, and architectural weaknesses.

  • Analyze unfamiliar codebases and understand the impact of proposed changes.

  • Review bug fixes, feature implementations, refactoring, API integrations, configuration changes, and database operations.

  • Compare alternative implementations and determine which solution best satisfies the requirements.

  • Rewrite or improve code to create high-quality reference solutions.

  • Provide clear technical explanations for identified issues and recommended improvements.

  • Develop evaluation criteria, technical annotations, and rubrics for code-quality assessment.

  • Collaborate with researchers and engineering teams to design coding benchmarks and improve LLM evaluation methodologies.

Required Qualifications:

  • 7+ years of professional software engineering experience.

  • Strong proficiency in at least one programming language, such as Python, JavaScript/TypeScript, Java, C++, Go, C#, Ruby, PHP, or Rust.

  • Significant experience building, maintaining, debugging, and reviewing production-grade software.

  • Strong understanding of software design principles, clean code, modular architecture, abstraction, error handling, and maintainability.

  • Proven ability to identify functional, performance, security, and design issues in complex codebases.

  • Experience with code reviews and collaborative software development workflows.

  • Familiarity with Git and modern engineering practices.

  • Strong written English and the ability to communicate technical feedback clearly.

  • Good understanding of data structures, algorithms, APIs, databases, and application architecture.

Offer Details:

  • Commitments Required: 8 hours per day with at least 4 hour overlap with PST.
  • Employment Type: Contractor position (no medical/paid leave).
  • Duration of Contract: 3 months [expected start date is next week].

Evaluation Process :

  • AI interview (~20 mins)
  • Delivery interview (~45 mins)

Last checked open on Oct 28, 2026. Job description provided by Turing.

Something not working? Tell us

If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.

← Browse all remote jobs