视频数据标注专员
Video Data Annotation Specialist
职位名称：视频数据标注专家
职位类型：合同工
工作地点：远程
micro1 正在招募视频数据标注专家，为客户的项目提供专业知识和精准度，该项目专注于人工智能的发展。在此职位中，您将运用专业知识帮助训练下一代 AI 系统。您的工作将影响模型如何通过高质量的真实世界输入进行学习、推理和表现。无需事先具备 AI 经验——您的专业领域知识才是关键。
工作范围
- 审查并标注短视频和音频片段，根据项目特定指南准确标记内容。
- 评估 AI 生成的描述对多样化多媒体内容的准确性与适当性。
- 根据明确的内容审核标准评估内容合规性，对不确定或不适当的内容进行标记，并提供详细理由。
- 提供清晰、简洁的书面反馈，突出 AI 输出中的潜在错误或模糊之处。
- 保持对细节和一致性的高度关注，确保大量提交数据的完整性。
- 远程与项目经理和其他专家协作，澄清指南并支持流程改进。
- 保护所有项目数据，严格遵守保密和数据保护标准。
优先资格
- 具有视频和音频标注、内容标记或数字平台内容审核的经验。
- 英语水平优秀，能够以书面形式清晰地传达反馈和发现。
- 对视觉和音频细节有出色的关注力，有提供高精度数据标注的记录。
- 有独立工作的经验，并能快速适应不断变化的项目需求或指南。
- 熟悉基于指南的评估和质量保证实践。
- 主动识别流程改进机会，并与远程合作者分享最佳实践。
- 承诺维护数据保密性，以道德方式处理敏感信息。
最初发布于 Himalayas
查看英文原文
**Pay:** $8-$10 per hour (USD).
Role Title: Video Data Annotation Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Video Data Annotation Specialists to contribute expertise and precision to a customer’s project focused on the advancement of artificial intelligence. 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 annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
2. Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
3. Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
4. Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
5. Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
6. Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
7. Safeguard all project data, adhering strictly to confidentiality and data protection standards.
Preferred Qualifications
1. Demonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.
2. Strong command of English, with the ability to communicate feedback and findings clearly in written form.
3. Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.
4. Experience working independently and adapting quickly to changing project requirements or guidelines.
5. Familiarity with guideline-based evaluation and quality assurance practices.
6. Proactive approach to identifying process improvements and sharing best practices with remote collaborators.
7. Commitment to maintaining data confidentiality and ethical handling of sensitive information.