Senior AI Trainer

SaidGig; New York (NY); Remote; USD 69,000 - 124,000; Part time

Job summary

SaidGig is seeking a detail-oriented remote contractor to annotate robotic-arm video data for AI training. You will apply strict grading standards, tag events, and record precise frame-accurate timestamps across sessions.

Work involves validating alignments, using specialized tools, and collaborating with trainers to resolve ambiguous cases while upholding high-quality data standards.

Qualifications

• Exceptional attention to detail and accuracy when reviewing and tagging visual data.
• Strong written and verbal communication skills for collaboration, reporting, and timely progress updates.
• Strong time management and self-organization skills for independent remote work.
• An analytical, problem-solving approach to annotation challenges.
• Experience in video annotation, data labeling, or related data-focused annotation work is preferred.
• Familiarity with video annotation software, including timeline-based timestamping and event-segmentation interfaces, is preferred.
• Experience with frame-level or timecode-based annotation, including marking event boundaries, working with frame rates, or reviewing footage frame by frame, is preferred.
• Experience in AI training, machine learning data preparation, or robotics projects is strongly preferred.

Responsibilities

• Review footage of robotic arms performing assigned tasks and identify important actions and outcomes.
• Apply detailed grading guidelines to tag and annotate events with precision.
• Record exact start and end timestamps for actions, with frame-accurate segmentation for each video session.
• Validate timestamp alignment across annotations and correct drift or discrepancies.
• Use video annotation tools to document findings and submit annotated datasets according to project standards.
• Work with trainers and contributors to resolve unclear cases, refine guidance, and maintain consistent annotations.
• Take part in quality reviews and incorporate feedback to uphold rigorous annotation standards.

Skills

Attention detail

Communication skills

Time management

Analytical thinking

Remote work

Video annotation

AI training awareness

Tools

Annotation tools

Timeline tagging

Job description

Role Overview

Help improve next-generation AI systems by converting robotic-arm video footage into precise, structured training data. This remote contract role centers on frame-accurate video annotation, event segmentation, and consistent application of detailed grading standards.

Key Responsibilities

• Review footage of robotic arms performing assigned tasks and identify important actions and outcomes.


• Apply detailed grading guidelines to tag and annotate events with precision.


• Record exact start and end timestamps for actions, transitions, and outcomes, with frame-accurate segmentation for each video session.


• Validate timestamp alignment across annotations and correct drift or discrepancies between labels and video footage.


• Use video annotation tools to document findings and submit annotated datasets according to project standards and milestones.


• Work with trainers and contributors to resolve unclear cases, refine guidance, and maintain consistent annotations.


• Take part in quality reviews and incorporate feedback to uphold rigorous annotation standards.

Qualifications

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


• Strong written and verbal communication skills for collaboration, reporting, and timely progress updates.


• Strong time management and self-organization skills for independent remote work.


• An analytical, problem-solving approach to annotation challenges.


• Experience in video annotation, data labeling, or related data-focused annotation work is preferred.


• Familiarity with video annotation software, including timeline-based timestamping and event-segmentation interfaces, is preferred.


• Experience with frame-level or timecode-based annotation, including marking event boundaries, working with frame rates, or reviewing footage frame by frame, is preferred.


• Experience in AI training, machine learning data preparation, or robotics projects is strongly preferred.

Work Terms

Remote independent contractor engagement.

Open to candidates located in Northern America, Latin America, Europe, the UK, and Oceania.

Compensation

$50 to $90 per hour.