Visual Content Evaluator

Role Title: Visual Content Evaluator

Role Type: Contractor

Location: Remote

micro1 is engaging Visual Content Evaluators to support a customer initiative focused on enhancing the quality of AI-generated images. 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.

Scope of Work

1. Upload original images you own that strictly follow provided project specifications.
2. Compare each original image with its AI-generated counterpart, performing meticulous, side-by-side assessments.
3. Identify and document all visual discrepancies, including subtle flaws in lighting, perspective, texture, anatomy, and color fidelity.
4. Detect and flag common AI image artifacts such as warped hands, smudged surfaces, inconsistent shadows, broken patterns, or misshapen text.
5. Compose clear, accurate, and concise written descriptions for each identified issue, pinpointing exact locations within the images.
6. Consistently apply a high standard of quality assurance by following detailed project guidelines and prioritizing accuracy over speed.
7. Maintain thorough, constructive feedback throughout your evaluations, ensuring actionable insights for model improvement.

Preferred Qualifications

1. Based in the United States (non-negotiable project requirement).
2. Exceptional written and verbal communication skills in English, producing error-free feedback and detailed image notes.
3. Keen visual acuity with a proven ability to detect even subtle differences between similar images.
4. Background in photography, digital imaging, graphic design, photo editing, or a closely related discipline, with the precise vocabulary to describe technical visual issues.
5. Understanding of AI image generation processes and typical failure points.
6. Demonstrated experience in image evaluation, data annotation, comparison, or similar visual quality assurance contexts.
7. Reliable, detail-oriented approach with a commitment to careful, comprehensive review on every assignment.