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.

Originally posted on Himalayas