AI Data Quality Specialist - English (Philippines)

Weloglobal · Remote · Philippines only

Philippines onlyExperience not stated$4.5/hrPublished 10 March 2026Check carefully

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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Experience not stated
Where you can live
Philippines only
Languages
English
Job type
Contract or freelance

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Job details

Where you can work
Philippines
Employment type
Contract
Advertised pay
$4.5/hr
Experience
Experience not stated
Employer publication date
10 March 2026
First recorded by Psst
2 November 2026
Last checked at the source
3 November 2026

About the job

Contract Type: Freelance

Language: English (Philippines)

About the Role

We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.

What You Will Do

  • Review and label content for sentiment, factual accuracy, and reasoning issues.
  • Evaluate model outputs across quality dimensions using scoring frameworks.
  • Validate automated assessments and identify discrepancies or errors.

Requirements

  • Advanced English proficiency (reading and writing) with professional-level fluency.
  • Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications.
  • Previous experience in data annotation, AI training, or related projects.
  • Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains.
  • Exceptional attention to detail and accuracy.
  • Proven analytical reasoning and critical thinking abilities.
  • Consistency in decision-making across high volumes of tasks.
  • Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

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