Braintrust
BraintrustVerified listing

Senior Software Engineer - AI Code Quality

23/hr
Remote · Bangladesh; Brazil; Colombia +6 more
contract
30 openings
Posted October 29, 2026
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Listing checked October 22, 2026 · pay as published by Braintrust

Key details

Pay
$23/hr
Location
Remote · Bangladesh; Brazil; Colombia +6 moreBangladesh, Brazil, Colombia, Egypt, Ghana +4 more
Job type
contract
Openings
30
Posted
October 29, 2026

Overview

Turing pairs your production engineering judgment with AI training work: you review machine-written code, trace failures back to their root causes, and write reference solutions that teach models better habits. Expect to work inside unfamiliar codebases in languages such as Python, JavaScript/TypeScript, Java, or Go, judging fixes, APIs, refactors, and database changes against explicit criteria. You also help shape the rubrics and annotations researchers use to score coding benchmarks. The engagement runs roughly three months on a freelance basis, fully remote, with at least 40 hours a week and four hours of daily overlap with Pacific Time. The work centers on code evaluation rather than manual testing.

What You'll Do6

  • Assess machine-generated code for correctness, reliability, security, performance, scalability, and maintainability.
  • Trace bugs, missing edge cases, partial implementations, and architectural weak points in codebases you have never seen before.
  • Compare competing fixes, features, refactors, API changes, and database migrations, then argue for the stronger option.
  • Rewrite weak implementations and explain the reasoning behind each change in plain technical English.
  • Build evaluation criteria, annotations, and scoring rubrics alongside researchers working on coding benchmarks.
  • Call out design and error-handling gaps that would break in production, and document what a sound solution looks like.

Requirements9

  • Seven or more years of professional software engineering, covering building, maintaining, debugging, and reviewing production systems.
  • Deep proficiency in at least one of Python, JavaScript/TypeScript, Java, C++, Go, C#, Ruby, PHP, or Rust.
  • Working command of clean code, modular architecture, abstraction, and error handling.
  • A record of finding functional, performance, security, and design flaws, backed by strong debugging and root-cause analysis.
  • Comfort with Git and collaborative code review workflows.
  • Solid grasp of data structures, algorithms, APIs, databases, and application architecture.
  • Strong written English for technical write-ups and recommendations.
  • Availability of 40 hours per week, 8 hours per day, plus four hours of daily Pacific Time overlap.
  • A LinkedIn profile URL included in your resume.

Who Should Apply

Engineers with seven or more years in production software who enjoy reading unfamiliar code and explaining precisely why it fails. Fluency in one major language, comfort with Git-based review, and 40 hours a week with Pacific Time overlap round out the fit.

Salary Insight

$23.00 per hour, paid on a freelance basis for an engagement expected to run about three months. That rate sits in the range senior engineers usually see for AI code evaluation and reference-solution work, and total earnings track your weekly hours against the 40-hour expectation.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$23/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,257 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$95 per hour. This role's pay sits below that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

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  • llm evaluation
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  • ai training
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  • data annotation
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Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Required skills

PythonJavaScriptTypeScriptJavaC++GoC#RubyPHPRustGitCode ReviewClean CodeSoftware ArchitectureError HandlingDebuggingRoot Cause AnalysisData StructuresAlgorithmsAPI DesignDatabase DesignCode EvaluationBenchmarkingSoftware Engineering

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Braintrust’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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