摄影师
Photographer
**薪资:** 每小时50-90美元（美元）。
**职位名称：** 摄影师
**职位类型：** 承包商
**工作地点：** 北美、拉丁美洲、欧洲、英国、大洋洲。
micro1 正在寻找摄影师，为客户的视频标注项目贡献专业知识。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通过高质量的现实输入进行学习、推理和执行。无需人工智能相关经验——您的专业领域知识才是关键。
**工作范围**
1. 审阅机械臂执行各种任务的视频片段，确保仔细观察每个会话。
2. 运用详细的视频标注和数据标记技能，根据项目提供的具体评分指南对视频进行标记和分类。
3. 评估视频中的视觉和摄影质量，运用摄影原则判断图像清晰度、构图和相关性。
4. 发现并记录机器人任务执行中的视觉细节、差异或问题，始终保持高度的注意力。
5. 对所有分配的会话严格遵循项目协议和评分规则，以确保数据的一致性和可靠性。
6. 通过项目工具和流程提交清晰、准确的标注和书面观察结果。
7. 根据需要与培训师和项目协调员异步协作，以澄清指南或提高标注质量。
**优先资格**
1. 摄影专业背景，具备敏锐的视觉构图和专业技术评估能力。
2. 具备视频标注、数据标记或相关人工智能训练项目的实际经验，最好是涉及机器人或技术视频的项目。
3. 非常注重细节，并能在动态环境中发现细微的视觉线索。
4. 能够严格遵守复杂的指南和重复性流程，同时不牺牲准确性或质量。
5. 有使用标注平台或视觉数据工具的经验者优先考虑。
6. 能够独立工作，并在远程、异步的项目环境中管理交付成果。
7. 具备机器学习、机器人或人工智能标注项目的背景知识是加分项，但非必需。
查看英文原文
**Pay:** $50-$90 per hour (USD).
**Role Title: Photographer**
**Role Type: Contractor**
**Location: Northern America, Latin America, Europe, UK, Oceania.**
micro1 is engaging Photographers to contribute their expertise to a video annotation project for a 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 video footage of robotic arms performing a variety of tasks, ensuring careful observation of each session.
2. Apply detailed video annotation and data labeling skills to tag and categorize footage according to specific grading guidelines provided by the project.
3. Evaluate visual and photographic quality within the videos, applying photography principles to judge image clarity, composition, and relevance.
4. Spot and document visual nuances, discrepancies, or issues in robot task execution, maintaining strict attention to detail at all times.
5. Follow established project protocols and grading rules consistently for all assigned sessions to ensure exceptional data uniformity and reliability.
6. Submit clear, accurate annotations and written observations through project tools and workflows.
7. Collaborate asynchronously with trainers and project coordinators as needed to clarify guidelines or improve annotation quality.
**Preferred Qualifications**
1. Professional background in photography, with a keen eye for visual composition and technical image evaluation.
2. Demonstrated experience in video annotation, data labeling, or related AI training projects, ideally involving robotics or technical footage.
3. Exceptional attention to detail and an ability to spot subtle visual cues in dynamic environments.
4. Strong adherence to complex guidelines and repetitive processes without sacrificing accuracy or quality.
5. Experience using annotation platforms or visual data tools is highly desirable.
6. Comfort working independently and managing deliverables in a remote, asynchronous project setting.
7. Background knowledge in machine learning, robotics, or AI annotation projects is a plus but not required.