Jobs / Philippines / Welo Global

Welo Global

AI Data Quality Specialist - English (Philippines)

Remote (Philippines) · Remote · PH only Posted today

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Where you can work from

PH only

Based on the listing's location: Remote (Philippines).

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

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). Compensation Additional Information

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