DaVinci Resolve Editor / Colorist

Role Title: DaVinci Resolve Editor / Colorist

Role Type: Contractor

Location: Remote

micro1 is 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.

Scope of Work 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.

Preferred Qualifications 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.