DaVinci Resolve Editor

This is a fully remote position, open to candidates based in Italy.

Pay: $15–$80/hr

Role Type: Contractor

Location: Remote

We are engaging DaVinci Resolve Editor / Colorists to contribute their domain expertise to a unique customer project focused on AI training in the realm of video data annotation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for entry-level or mid-level professionals eager to leverage their audiovisual editing, color grading, and video processing skills in an innovative context that goes beyond traditional post-production.

• Perform video data annotation using DaVinci Resolve, following detailed project guidelines to ensure accuracy and consistency.
• Apply your knowledge of color correction and grading to evaluate and interpret various footage characteristics.
• Review, label, and comment on video clips to provide structured data for AI model training.
• Assess audiovisual content for quality, clarity, and technical attributes according to specified parameters.
• Collaborate remotely with project coordinators and provide feedback on annotation processes and tools.
• Document your decision-making approaches and communicate insights to facilitate model improvement.
• Adhere to project milestones and submission protocols.

• Hands-on experience with DaVinci Resolve in a post-production context.
• Proficiency in video editing, color correction, and grading fundamentals.
• Strong written and verbal communication skills, with an eye for detail and clarity in annotations.
• Experience working with digital video formats and understanding technical specifications.
• Interest or background in data annotation or structured labeling (a plus but not required).
• Ability to work independently, stay organized, and follow complex instructions.
• Openness to feedback and willingness to iterate on annotation strategies as project needs evolve.