出海雷达

全球计算机视觉专员,远程-合同制

🌍 Computer Vision Specialist, Remote- Contract

AI开发工程未标注地域
公司Xperteez Technology
薪资$50 - $90
工作地点Worldwide
地域资格未标注地域
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间13 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →

职位名称:计算机视觉专家
职位类型:合同制
工作地点:远程

在此职位中,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学习、推理和执行,通过高质量的现实世界输入。无需人工智能领域经验——您的专业领域知识才是关键。

所需技能:
· 计算机视觉

工作范围:

  • 审查并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。
  • 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。
  • 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。
  • 与人工智能开发团队合作,优化标注协议并提供领域见解。
  • 记录观察结果,并保持对标注过程和结果的详细记录。
  • 参与定期审查,确保标注准确性并解决模糊或边缘情况。
  • 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:

  • 在计算机视觉概念和方法上有实际经验,有视频分析或标注任务经验者优先。
  • 熟悉常用的视频标注、标注或数据集准备工具和平台。
  • 优秀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。
  • 注重细节,致力于产出高质量、一致的标注结果。
  • 能够独立工作,并在远程协作项目环境中管理交付成果。
  • 有机器人、自主系统或相关领域经验者优先。
  • 具备适应性和学习新标注标准的能力,能够为不断变化的项目需求做出贡献。

最初发布于 Himalayas

查看英文原文

Role Title: Computer Vision Specialist
Role Type: Contract
Location: Remote
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.
Required Skills:
· Computer Vision

Scope of Work:

  • Review and analyze video footage captured from robotic systems to identify key visual features and anomalies.
  • Annotate video content with precision, ensuring accurate labeling and categorization of objects, movements, and events.
  • Provide detailed feedback to enhance the quality and consistency of video-based datasets for machine learning applications.
  • Collaborate with AI development teams to refine annotation protocols and contribute domain insights.
  • Document observations and maintain meticulous records of annotation processes and outcomes.
  • Participate in periodic reviews to ensure annotation accuracy and address ambiguities or edge cases.
  • Identify potential improvements in video capture or annotation strategies based on observed data patterns.

Preferred Qualifications:

  • Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.
  • Familiarity with tools and platforms commonly used for video labeling, annotation, or dataset preparation.
  • Excellent written and verbal communication skills, with a strong ability to document findings and articulate technical insights.
  • Attention to detail and commitment to producing high-quality, consistent annotations.
  • Ability to work independently and manage deliverables within a remote, collaborative project environment.
  • Experience with robotics, autonomous systems, or related domains is a plus.
  • Adaptability and willingness to learn new annotation standards or contribute to evolving project needs.

Originally posted on Himalayas

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