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 - Upload original images you own that strictly follow provided project specifications. - Compare each original image with its AI-generated counterpart, performing meticulous, side-by-side assessments. - Identify and document all visual discrepancies, including subtle flaws in lighting, perspective, texture, anatomy, and color fidelity. - Detect and flag common AI image artifacts such as warped hands, smudged surfaces, inconsistent shadows, broken patterns, or misshapen text. - Compose clear, accurate, and concise written descriptions for each identified issue, pinpointing exact locations within the images. - Consistently apply a high standard of quality assurance by following detailed project guidelines and prioritizing accuracy over speed. - Maintain thorough, constructive feedback throughout your evaluations, ensuring actionable insights for model improvement. Preferred Qualifications - Based in the United States (non-negotiable project requirement). - Exceptional written and verbal communication skills in English, producing error-free feedback and detailed image notes. - Keen visual acuity with a proven ability to detect even subtle differences between similar images. - Background in photography, digital imaging, graphic design, photo editing, or a closely related discipline, with the precise vocabulary to describe technical visual issues. - Understanding of AI image generation processes and typical failure points. - Demonstrated experience in image evaluation, data annotation, comparison, or similar visual quality assurance contexts. - Reliable, detail-oriented approach with a commitment to careful, comprehensive review on every assignment. Originally posted on Himalayas