Project Chiron: French (Canada) Data Trainer at Welo Global invites meticulous, remote-friendly trainers to review pre-seeded questions paired with images and produce accurate golden answers, flag unclear content, and maintain consistency under project guidelines. Requirements include native or strong French, fluent English, a bachelor’s degree, sharp attention to detail, the ability to follow written instructions precisely, reliable computer and internet, and prior data annotation experience is a plus. It’s freelance, remote, with 10 hours weekly at $48/hr, long-term. Tips: tailor your resume to show precise QA, highlight experience with guidelines and rubrics, provide concrete examples of accuracy, and complete the quick application questions to join the database and community.
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 French
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: $48/hr
Duration: Long-term