Ai Data Trainer - Remote

Senior AI TrainerRole Type: Contractor, RemoteLocation: North America, Latin America, Europe, UK, OceaniaWe’re seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling.You’ll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training.No prior AI experience is required.Key ResponsibilitiesReview robotic-arm videos and identify key actions, events, and outcomes.Apply detailed guidelines to tag and annotate video events accurately.Mark precise start and end timestamps for actions, transitions, and outcomes.Verify annotations for timing accuracy and correct inconsistencies or drift.Use video annotation tools to create and submit high-quality datasets.Collaborate with project teams to resolve ambiguities and maintain annotation consistency.Participate in quality reviews and incorporate feedback to maintain standards.Required QualificationsExceptional attention to detail and accuracy when reviewing visual data.Strong written and verbal communication skills.Excellent time management and ability to work independently in a remote environment.Analytical and problem-solving mindset.Preferred QualificationsExperience in video annotation, data labeling, or similar projects.Familiarity with video annotation and timeline-based labeling tools.Experience with frame-level or timecode-based annotation.Background in AI training, machine learning data preparation, or robotics is strongly preferred.#J-*****-Ljbffr

You’ll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.Key ResponsibilitiesReview robotic-arm videos and identify key actions, events, and outcomes.Apply detailed guidelines to tag and annotate video events accurately.Mark precise start and end timestamps for actions, transitions, and outcomes.Verify annotations for timing accuracy and correct inconsistencies or drift.Use video annotation tools to create and submit high-quality datasets.Collaborate with project teams to resolve ambiguities and maintain annotation consistency.Participate in quality reviews and incorporate feedback to maintain standards.Required QualificationsExceptional attention to detail and accuracy when reviewing visual data.Strong written and verbal communication skills.Excellent time management and ability to work independently in a remote environment.Analytical and problem-solving mindset.Preferred QualificationsExperience in video annotation, data labeling, or similar projects.Familiarity with video annotation and timeline-based labeling tools.Experience with frame-level or timecode-based annotation.Background in AI training, machine learning data preparation, or robotics is strongly preferred. #J-*****-Ljbffr