Senior AI Trainer

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

Pay: $50$90/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 this role youll 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).

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.