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Data Analyst Intern; Remote

Remote / Online - Candidates ideally in
San Diego, San Diego County, California, 92101, USA
Listing for: Data Robotics
Part Time, Apprenticeship/Internship, Remote/Work from Home position Listed on 2026-11-11
Job specializations:
  • Science
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 34000 - 62000 USD Yearly USD 34000.00 62000.00 YEAR

Job Description & How to Apply Below

Position: Data Analyst 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 careful, analytical people who enjoy comparing details and supporting judgments with evidence. You will check simple output pairs for consistent details and obvious discrepancies 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
  • Check simple output pairs for consistent details and obvious discrepancies.
  • Compare paired examples for accuracy, consistency, usefulness and prompt alignment.
  • Explain each rating with specific evidence from the outputs you reviewed.
  • 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 notice basic patterns and explain clear differences.
  • Ability to apply written criteria consistently across varied examples.
  • 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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