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 Vietnamese
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: $30/hr
Duration: Long-term
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
