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Salary
$48k per year
Location
Remote (Sri Lanka)
Employment
Freelance
Overview
Company
Impact
Profile match
Welo Global is a language and data services company that supplies localisation, translation and training data to technology firms, life sciences companies and enterprises expanding internationally. Its work covers translation and multilingual quality assurance, localisation testing for games and software, data annotation and collection across many languages, and the human evaluation and preference work used to improve large language models. The company recruits linguists, annotators and subject-matter reviewers across dozens of languages, which is why it advertises a very high volume of part-time and contract roles tied to specific language pairs.

About the Role

We are looking for detail-oriented Trainers to support an AI data annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden" answers based on what you observe in the image.

This is a task-based, remote-friendly opportunity ideal for individuals who are meticulous, and able to follow detailed instructions consistently.

What You'll Do

  • Review a pre-seeded question along with an accompanying image (e.g., "What is the title of the Excel file based on what you see in the image?")

  • Carefully examine image content to identify the relevant details needed to answer the question

  • Provide a clear, accurate "golden” answer based solely on the visual information provided

  • Flag any images that are unclear, corrupted, or insufficient to answer the question

  • Maintain consistency and quality across a batch of tasks

  • Follow project-specific guidelines and rubrics as provided by the project team

What We're Looking For

  • Native/Strong proficiency at Sinhala

  • Fluent English proficiency (reading/writing)

  • Bachelor's degree required

  • Strong attention to detail and accuracy

  • Ability to follow written instructions precisely and consistently

  • Reliable access to a computer and internet connection

  • Prior experience with data annotation, data labeling, or quality review is a plus

Work Format & Compensation

  • Work Type: freelance, remote

  • Hours/Schedule: 10 hours per week

  • Compensation: $24/hr

  • Duration: Long-term

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