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QA Software Test Engineer Code Review - Remote

YO IT Consulting

full-remotemidcontractqabackend San Antonio, TX Yesterday via LinkedIn

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Tags

QACode ReviewTestingDebuggingTechnical WritingPythonJavaScriptJavaC++Independent Contractor

About the role

Role Overview

QA Software Test Engineer (Code Review) – Remote YO IT Consulting is hiring independent contractors to help build evaluation datasets used by leading AI labs. Freelancers will create realistic code-related prompts and high-quality responses to assess natural-language reasoning, explanation quality, and technical judgment (focused on evaluation of correctness, not necessarily executable code).

Responsibilities

  • Craft realistic developer prompts across categories such as:
    • Code review
    • Debugging
    • Error diagnosis
    • Configuration
    • Other coding-related scenarios
  • Source and adapt content from real pull requests to create authentic evaluation cases
  • Write technically accurate model responses that demonstrate strong reasoning and explanation

Qualifications (Ideal)

  • 2+ years of experience in software engineering, technical research, or educational content development
  • Bachelor’s minimum in Software Engineering, Computer Science, or related (advanced degree preferred)
  • Strong proficiency in one or more of:
    • Python, JavaScript, Java, C++
  • Experience with debugging, testing, and validating code
  • Comfortable with technical writing and strong attention to detail

Contract & Schedule

  • Start date: Immediate
  • Duration: 1–2 months (may be extended/shortened based on performance and needs)
  • Commitment: Part-time 15–25 hours/week (flexible up to 40 hours/week)
  • Engagement: Independent contractor
  • Location: Fully remote; work completed on your own schedule

Hiring Process

  • Upload resume
  • AI interview: short ~15-minute conversational session
  • Follow-up communication with next steps and onboarding details

About YO IT Consulting

YO IT Consulting provides consulting services supporting software and technology projects. The role described focuses on engineering contributions to high-impact AI research collaborations, particularly around building evaluation datasets for AI reasoning and coding interactions.

Scraped 4/8/2026

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