AI Data Quality Specialist - English (Philippines)

Welo Global is hiring a AI Data Quality Specialist - English (Philippines). This is a remote job – you can work from home in Sri Lanka for a company abroad.

Job summary

• Post: AI Data Quality Specialist - English (Philippines)
• Employer: Welo Global
• Where: Remote – open to Philippines (includes Sri Lanka)
• Job type: Contract
• Level: Any
• Apply by: 30 November 2026 (or until the post is filled)

About this kind of job

IT jobs involve building, testing or supporting software and systems, often as part of a team. Employers look for practical skills, a willingness to learn new tools and clear communication.

What the job involves

• 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

Working remotely from Sri Lanka

• You need a laptop, a stable internet connection and good written English.
• Check the working hours (time zone) and how you will be paid (for example bank transfer, Payoneer or Wise) before you accept an offer.
• Foreign income received through banks in Sri Lanka may have tax rules – keep your payment records.

Tip from JobPortal

A short list of your projects or a GitHub / portfolio link helps your application stand out. Apply only through the official link and never pay money to get a job.

Source

This listing comes from Jobicy. Read the full original advert and apply there.

• 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)