Senior AI Trainer, Remote - Contract（远程职位）

这条招聘信息来自 Xperteez Technology，岗位是 Senior AI Trainer, Remote - Contract：这是高级职位，公司期待由你自己拿主意。职位属于「教育与教学」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。

招聘信息单独点名了 Machine Learning，也就是说，正是这一项工具的使用经验会成为决定因素。

公司公布了薪酬：$50 - $90/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: Senior AI Trainer Role Type: Contractor Location: Remote Required Skills

* Video Annotation

* Attention to Detail

* Data Labeling

* Video Annotation Tools

* Time Management

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. Key Responsibilities:

* Review video footage of robotic arms executing assigned tasks, identifying key actions and outcomes with precision.

* Apply detailed grading guidelines to accurately tag and annotate events, providing structured observations that improve model performance.

* Mark precise timestamps for the start and end of key actions, transitions, and outcomes, ensuring frame-accurate segmentation of each video session.

* Verify timestamp accuracy and alignment across annotations, correcting drift or inconsistencies between labeled events and the underlying footage.

* Utilize video annotation tools and platforms to record findings and submit annotated datasets in alignment with project standards and milestones.

* Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team.

* Participate in ongoing quality reviews, incorporating feedback to maintain rigorous annotation standards.

Required Skills and Qualifications:

* Exceptional attention to detail and accuracy in reviewing and tagging visual data.

* Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.

* Demonstrated time management and self-organization abilities for independent, remote project participation.

* Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.

Preferred Qualifications:

* Proven experience with video annotation, data labeling, or similar data-centric annotation projects.

* Familiarity with video annotation tools and software platforms, including timeline-based interfaces for timestamping and event segmentation.

* Experience with frame-level or timecode-based annotation (e.g., marking event boundaries, working with frame rates, or reviewing footage frame by frame).

* Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).

Originally posted on Himalayas