计算机视觉专员
Computer Vision Specialist
薪资：每小时50-90美元（美元）。
职位名称：计算机视觉专家
职位类型：合同工
工作地点：远程
micro1 正在寻找计算机视觉专家，与一个重要的客户合作开展一项充满活力的项目。在这个职位中，您将运用专业知识帮助训练下一代人工智能系统。您的工作将影响模型如何通过高质量的真实输入进行学习、推理和表现。无需人工智能领域的先验经验——您的专业领域知识才是关键。
**工作范围**
1. 审阅和分析来自机器人系统的视频内容，以识别关键视觉特征和异常情况。
2. 精确标注视频内容，确保对象、动作和事件的准确标记和分类。
3. 提供详细反馈，以提高用于机器学习应用的视频数据集质量和一致性。
4. 与人工智能开发团队合作，优化标注协议并提供领域见解。
5. 记录观察结果，并保持对标注过程和结果的细致记录。
6. 参与定期审查，以确保标注准确性并解决模糊或边缘情况。
7. 根据观察到的数据模式，识别视频采集或标注策略的潜在改进点。
**优先资格**
1. 具备计算机视觉概念和方法的实践经验，有视频分析或标注任务的实际操作经验。
2. 熟悉常用的视频标注、标注或数据集准备工具和平台。
3. 出色的书面和口头沟通能力，能够清晰记录发现并阐述技术见解。
4. 注重细节，致力于产出高质量且一致的标注结果。
5. 能够独立工作，并在远程协作项目环境中管理交付成果。
6. 有机器人、自主系统或相关领域的经验者优先。
7. 具备适应能力和学习新标注标准的意愿，或能为不断变化的项目需求做出贡献。
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**Pay:** $50-$90 per hour (USD).
Role Title: Computer Vision Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Computer Vision Specialists to collaborate on a dynamic project for a valued customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
**Scope of Work**
1. Review and analyze video footage captured from robotic systems to identify key visual features and anomalies.
2. Annotate video content with precision, ensuring accurate labeling and categorization of objects, movements, and events.
3. Provide detailed feedback to enhance the quality and consistency of video-based datasets for machine learning applications.
4. Collaborate with AI development teams to refine annotation protocols and contribute domain insights.
5. Document observations and maintain meticulous records of annotation processes and outcomes.
6. Participate in periodic reviews to ensure annotation accuracy and address ambiguities or edge cases.
7. Identify potential improvements in video capture or annotation strategies based on observed data patterns.
**Preferred Qualifications**
1. Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.
2. Familiarity with tools and platforms commonly used for video labeling, annotation, or dataset preparation.
3. Excellent written and verbal communication skills, with a strong ability to document findings and articulate technical insights.
4. Attention to detail and commitment to producing high-quality, consistent annotations.
5. Ability to work independently and manage deliverables within a remote, collaborative project environment.
6. Experience with robotics, autonomous systems, or related domains is a plus.
7. Adaptability and willingness to learn new annotation standards or contribute to evolving project needs.