Senior AI Trainer

Remote | Contractor

Compensation: $50–$90/hour
Annualized equivalent: $104,000–$187,200/year based on 2,080 hours annually

Job Overview

We are seeking Senior AI Trainers to support a customer-driven project focused on improving AI system accuracy through expert-level video annotation and data labeling.

In this role, you will apply your expertise to review and annotate video footage of robotic arms executing assigned tasks. Your work will help generate high-quality, structured training data that supports the development and improvement of next-generation AI systems.

You will be responsible for accurately identifying actions and outcomes, applying detailed grading guidelines, marking precise timestamps, and maintaining consistent annotation quality across video datasets.

Key Responsibilities

• Review video footage of robotic arms executing assigned tasks and accurately identify key actions, transitions, and outcomes.

• Apply detailed grading and annotation guidelines to tag relevant events and provide structured observations.

• Identify and document actions and outcomes with a high degree of precision and consistency.

• Mark precise start and end timestamps for key actions, transitions, and outcomes.

• Perform frame-accurate segmentation of video sessions where required.

• Verify timestamp accuracy and ensure annotations are properly aligned with the underlying video footage.

• Identify and correct timestamp drift, inconsistencies, or discrepancies between labeled events and source footage.

• Use video annotation tools and platforms to document findings and produce annotated datasets.

• Complete and submit annotation work in accordance with project standards, requirements, and milestones.

• Collaborate with project trainers and other contributors to resolve ambiguous cases and improve annotation consistency.

• Provide input when annotation guidelines require clarification or refinement.

• Participate in ongoing quality reviews and incorporate feedback to maintain rigorous annotation standards.

• Communicate progress, challenges, and potential annotation issues clearly and in a timely manner.

• Work independently while maintaining accuracy, consistency, and productivity throughout the project.

Required Skills and Qualifications

• Exceptional attention to detail and accuracy when reviewing, tagging, and evaluating visual data.

• Strong written and verbal communication skills.

• Ability to clearly document observations, communicate challenges, and provide timely project updates.

• Strong time management and self-organization skills.

• Ability to work independently and reliably in a remote contractor environment.

• Analytical and problem-solving mindset.

• Proactive approach to identifying and resolving annotation challenges.

• Ability to consistently follow detailed guidelines and quality standards.

Preferred Qualifications

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

• Familiarity with video annotation tools and software platforms.

• Experience working with timeline-based annotation interfaces for timestamping and event segmentation.

• Experience with frame-level or timecode-based annotation.

• Familiarity with marking event boundaries and working with video frame rates.

• Experience reviewing footage frame by frame.

• Background in AI training or machine learning data preparation.

• Experience working on robotics-related projects.

• Familiarity with robotic systems, robotic arms, or visual data involving automated systems is strongly preferred.

Technical and Professional Skills

• Video annotation

• Data labeling

• AI training data

• Video annotation tools

• Timestamp annotation

• Timecode-based annotation

• Frame-level annotation

• Event segmentation

• Video analysis

• Data quality assurance

• Attention to detail

• Analytical thinking

• Problem solving

• Time management

• Written communication

• Verbal communication

• Remote collaboration

• Independent work

Work Arrangement

• Role: Senior AI Trainer

• Employment type: Contractor

• Location: Remote

• Compensation: $50–$90/hour

• Annualized compensation: $104,000–$187,200/year based on 2,080 hours

• Work focus: Video annotation, data labeling, AI training, and robotics video analysis

Ideal Candidate Profile

This opportunity is particularly suited to professionals with experience in video annotation, data labeling, AI training, machine learning data preparation, or robotics-related projects.

The ideal candidate is highly detail-oriented, comfortable working with precise timestamps and video segmentation, and able to consistently apply detailed annotation guidelines. Experience working with frame-level or timecode-based annotation and video annotation platforms will be particularly valuable.

You should also be comfortable working independently in a remote environment while maintaining strong communication, organization, accuracy, and productivity.

About the Project

This project focuses on improving AI system accuracy through high-quality expert video annotation and data labeling.

By accurately identifying robotic actions, transitions, and outcomes and aligning annotations precisely with the underlying video footage, your work will contribute to the development of AI systems that can better interpret and learn from real-world visual data.