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QA Testing Intern; Remote

Remote / Online - Candidates ideally in
Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Joblet-AI
Apprenticeship/Internship, Remote/Work from Home position Listed on 2026-11-08
Job specializations:
  • Quality Assurance - QA/QC
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 25000 - 55000 USD Yearly USD 25000.00 55000.00 YEAR

Job Description & How to Apply Below

Position: QA Testing Intern (Remote)
  • Location
    :
    Remote from US, CA, UK, IE, AU, NZ
  • Engagement Type
    :
    Freelance / Hourly Contract

Applicants must currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.

Overview

We are looking for methodical people who spot observable problems and apply checks consistently. You will use basic quality checks to identify clear errors and missing details while evaluating AI-generated voice, image and video content. This opportunity is remote, with flexible hours and assignments based on project availability. Students, recent graduates and working professionals are welcome to apply.

Key Responsibilities
  • Use basic quality checks to identify clear errors and missing details.
  • Compare paired outputs for errors, missing details, clarity and prompt alignment.
  • Explain which observable details support your quality judgment.
  • Take part in English conversations with AI models when assigned to voice tasks.
  • Record your ratings using project guidelines and flag examples that are difficult to judge.
Requirements
  • Confident spoken English and clear written communication.
  • Ability to apply simple checks consistently across similar outputs.
  • Ability to repeat defined checks and flag uncertain cases consistently.
  • A computer, reliable internet and headphones, with a quiet space for voice-based tasks.
  • Ability to produce your own ratings and written explanations without using AI tools.

We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.

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