Project Epsilon - 西班牙语（西班牙）数据训练师
Project Epsilon - Spanish (Spain) Data Trainer
关于职位
我们正在寻找注重细节的培训师，以支持AI数据标注项目。在此职位中，您将查看与图片配对的预设问题，并根据您在图片中观察到的内容提供准确的“黄金”答案。
这是一个基于任务、适合远程工作的机会，适合细心且能够持续遵循详细指令的个人。
您将负责
· 查看一个预设的问题以及相关的图片（例如：“根据您在图片中看到的内容，Excel文件的标题是什么？”）
· 仔细检查图片内容，以识别回答问题所需的相关细节
· 仅基于提供的视觉信息提供清晰、准确的“黄金”答案
· 标记任何不清晰、损坏或不足以回答问题的图片
· 在一批任务中保持一致性和质量
· 按照项目团队提供的具体指南和评分标准执行工作
我们寻找的人选
· 西班牙语母语级/强 proficiency
· 英语流利（阅读/写作）
· 需要本科学位
· 强烈的关注细节和准确性
· 能够精确且一致地遵循书面指令
· 可靠的电脑和互联网连接访问
· 有数据标注、数据标记或质量审核经验者优先
工作形式与薪酬
· 工作类型：自由职业、远程
· 工时/时间表：每周10小时
· 薪酬：36美元/小时
· 持续时间：长期
查看英文原文
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 Spanish
- 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: $36/hr
- Duration: Long-term