Remote Filmmaker for AI Training Data Annotation

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

Job summary

SaidGig is seeking a remote contractor to annotate footage of robotic arms for AI training. Candidates should bring filmmaking or video production experience and strong attention to detail in labeling, grading, and documenting results.

You will review varied videos, tag sessions, and ensure high-quality datasets using standard annotation tools. Independent work and clear communication are essential to meet project timelines.

Qualifications

• Experience in filmmaking, cinematography, or video production with strong visual/detail.
• Video annotation and editing expertise using common industry tools.
• Experience reviewing, grading, or annotating video for training purposes preferred.
• Ability to identify minute visual errors and inconsistencies.
• Clear written and verbal communication skills for documenting annotation decisions.
• AI training or data-labeling project experience highly preferred.
• Self-motivated and able to work independently while meeting project timelines.

Responsibilities

• Review and evaluate videos of robotic arms performing varied tasks.
• Tag and label video sessions according to scenario-specific grading guidelines.
• Document subtle visual details, task completions, and errors shown in the footage.
• Use video editing and annotation tools to produce organized, high-quality datasets.
• Communicate with trainers and project stakeholders to clarify requirements and maintain annotation consistency.
• Keep accurate annotation records and provide constructive feedback to improve guidelines and processes.

Skills

Filmmaking

Video annotation

Video editing

Attention to detail

Communication

AI data-labeling

Annotation tools

Tools

Annotation tools

Job description

SaidGig is seeking a remote contractor to annotate footage of robotic arms for AI training. Candidates should bring filmmaking or video production experience and strong attention to detail in labeling, grading, and documenting results.

You will review varied videos, tag sessions, and ensure high-quality datasets using standard annotation tools. Independent work and clear communication are essential to meet project timelines.