AI Data Annotation Expert（远程职位）

这条招聘信息来自 micro1，岗位是 AI Data Annotation Expert。职位属于「其他职位」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

公司公布了薪酬：$40 - $80/小时。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

Role Title: AI Data Annotation Expert Role Type: Contractor Location: Remote micro1 is selecting AI Data Annotation Experts to contribute to a client-driven project focused on improving AI systems through meticulous video data labeling and annotation. 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

* Review short video clips to identify and categorize recurring events according to provided guidelines.

* Precisely annotate each recognized event, capturing accurate timestamps for every occurrence.

* Craft clear, concise, and consistent written descriptions for all annotated events.

* Utilize attention to detail and data labeling accuracy to ensure high-quality, reliable annotations.

* Apply annotation protocols rigorously to maintain consistency and integrity of the labeled data.

* Engage collaboratively with project leads and fellow contributors to address questions and feedback.

* Submit regular deliverables aligned with project milestones and expectations.

Preferred Qualifications

* Proven experience with video annotation or similar data labeling activities.

* Exceptional attention to detail and a commitment to maintaining data quality.

* Strong analytical skills, with the ability to interpret guidelines and apply them thoroughly.

* Excellent written and verbal English proficiency for clear annotation descriptions and communication.

* Experience participating in AI training or data-centric projects is advantageous.

* Demonstrated ability to collaborate effectively within distributed teams or remote projects.

* Comfort working independently and adapting to evolving annotation criteria or feedback.

Originally posted on Himalayas