Senior AI Trainer – Remote Contract
Listing checked September 10, 2026 · pay as published by Micro1
Overview
micro1 seeks Senior AI Trainers for a customer-driven project that improves AI system accuracy through expert video annotation and data labeling. You will review footage of robotic arms performing tasks, tag key actions, and mark precise timestamps to help models learn from real-world input. This is a remote contractor role with a pay range of $50 to $90 per hour. Your annotations directly shape how next-generation AI systems reason and perform.
What You'll Do7
- 1Watch video recordings of robotic arms completing tasks and pinpoint key actions and outcomes.
- 2Follow detailed grading guidelines to tag and annotate events, producing structured observations that enhance model performance.
- 3Mark exact start and end timestamps for actions, transitions, and outcomes to achieve frame-accurate segmentation.
- 4Check timestamp accuracy across annotations and fix drift or mismatches between labeled events and the footage.
- 5Use video annotation tools to record findings and submit datasets that meet project standards and milestones.
- 6Work with other trainers and contributors to clear up ambiguities, sharpen guidelines, and keep annotation consistent.
- 7Take part in quality reviews and apply feedback to uphold strict annotation standards.
Requirements8
- 1Sharp eye for detail and accuracy when reviewing and tagging visual data.
- 2Strong written and verbal communication skills for collaboration, reporting, and progress updates.
- 3Proven ability to manage time and stay organized while working independently on a remote project.
- 4Analytical and problem-solving mindset with a proactive approach to annotation challenges.
- 5Experience with video annotation, data labeling, or similar data-centric projects.
- 6Familiarity with video annotation tools and timeline-based interfaces for timestamping and event segmentation.
- 7Background in frame-level or timecode-based annotation, such as marking event boundaries or working with frame rates.
- 8Prior work in AI training, machine learning data preparation, or robotics projects is strongly preferred.
Who Should Apply
This role fits someone with a track record in video annotation or data labeling, especially if you have worked with frame-level timestamps or timeline-based tools. If you have supported AI training, machine learning data prep, or robotics projects, your background aligns well. The role is less suitable for people who prefer collaborative, office-based settings or who need constant supervision, since this is independent remote work. Candidates often get rejected when they show no concrete examples of frame-accurate annotation or cannot describe how they handle timestamp drift. Another common reason for low fit scores is failing to demonstrate time management in a remote contractor context.
Salary Insight
The pay range is $50 to $90 per hour. No other compensation details are provided in the source.
Location
Compensation
$50–90/hr
Required Skills
Application Tip
In your application, include specific examples of frame-level or timecode-based annotation work, such as marking event boundaries or correcting timestamp drift. Quantify your experience with video annotation tools and mention any robotics or AI training projects you have supported.
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