Senior AI Trainer

RemoteJobsOne; Singapore; Remote; SGD 39,000 - 123,000; Full time

Job summary

RemoteJobsOne is seeking a Senior AI Trainer for a fully remote contractor position. You will collaborate on a customer-driven AI training project, focusing on expert-level video annotation and data labeling to improve model performance.

The role emphasizes meticulous attention to detail, strong communication, and independent work in a remote setting. Experience with video annotation tools and frame-level timing is preferred. Compensation ranges hourly from $22 to $70.

Qualifications

• Exceptional attention to detail and accuracy in reviewing and tagging visual data.
• Strong written and verbal communication skills for effective collaboration and updates.
• Demonstrated time management and self-organization for remote work.

Responsibilities

• Review video footage of robotic arms to identify key actions and outcomes with precision.
• Apply grading guidelines to tag and annotate events for model improvement.
• Mark timestamps for start/end of actions and ensure frame-accurate segmentation.
• Verify timestamp accuracy and align annotations with footage.
• Use annotation tools to record findings and submit annotated datasets.
• Collaborate with project trainers to resolve ambiguities and maintain consistency.
• Participate in ongoing quality reviews and improve annotation standards.

Skills

Attention to detail

Communication

Time management

Analytical mindset

Tools

Video annotation tools

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application - it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in Singapore.

Pay: $22-$70/hr

Role Title: Senior AI Trainer

Role Type: Contractor, Remote

Location: Northern America, Latin America, Europe, UK, Oceania.

We are engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system accuracy through expert-level video annotation and data labeling. 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

1. Review video footage of robotic arms executing assigned tasks, identifying key actions and outcomes with precision.
2. Apply detailed grading guidelines to accurately tag and annotate events, providing structured observations that improve model performance.
3. Mark precise timestamps for the start and end of key actions, transitions, and outcomes, ensuring frame-accurate segmentation of each video session.
4. Verify timestamp accuracy and alignment across annotations, correcting drift or inconsistencies between labeled events and the underlying footage.
5. Utilize video annotation tools and platforms to record findings and submit annotated datasets in alignment with project standards and milestones.
6. Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team.
7. Participate in ongoing quality reviews, incorporating feedback to maintain rigorous annotation standards.

Required Skills and Qualifications

1. Exceptional attention to detail and accuracy in reviewing and tagging visual data.
2. Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
3. Demonstrated time management and self-organization abilities for independent, remote project participation.
4. Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.

Preferred Qualifications

1. Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
2. Familiarity with video annotation tools and software platforms, including timeline-based interfaces for timestamping and event segmentation.
3. Experience with frame-level or timecode-based annotation (e.g., marking event boundaries, working with frame rates, or reviewing footage frame by frame).
4. Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).