AI Image & Video Evaluation Specialist (PST)

About the role

micro1 is engaging AI Image & Video Evaluation Specialists to contribute expertise in visual content evaluation for a pioneering generative AI project. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Responsibilities

• Generate images and videos using identical prompts across multiple generative AI platforms (e.g., Grok Imagine, ChatGPT/Sora, Gemini, and others).
• Conduct structured, side-by-side comparative analysis of AI-generated images and videos, focusing on realism, composition, color, lighting, anatomy, text rendering, coherence, and overall visual quality.
• Identify and document strengths, weaknesses, artifacts, and patterns in model outputs with precision and clarity.
• Benchmark and compare new model releases against prior versions to track improvements and detect regressions.
• Articulate detailed visual assessments and technical feedback in clear written reports and evaluation forms.
• Follow rigorous evaluation guidelines to ensure consistent, high-quality deliverables and actionable insights.

Requirements

• 2+ years of experience in visual media, photography, video editing, graphic design, visual quality assurance, AI content evaluation, or related digital media roles.
• Demonstrated expertise in image composition, color theory, lighting analysis, human anatomy evaluation, and visual storytelling.
• Proven ability to assess generative AI outputs and recognize patterns, anomalies, and artifacts.
• Exceptional attention to detail, critical thinking, and analytical writing skills.
• Experience with Google Sheets, Notion, Figma, or similar collaboration and documentation tools.

Qualifications

• Native English speaker based in the United States, Canada, or UK, able to contribute during Pacific Time business hours (Monday–Friday, 9:00 AM–5:00 PM PT).
• Professional, reliable, and proactive communicator who values both written and verbal clarity and is comfortable working in a collaborative, feedback-driven environment.