Visual Content Evaluator

Zekai; United States; Remote; USD 28,000 - 47,000; Full time

Job summary

Zekai is seeking a Visual Content Evaluator for a 100% remote contractor role. You will assess AI-generated images against originals, report subtle discrepancies, and document artifacts with precise notes that guide model improvement. Strong English writing and keen visual acuity are essential.

Based in the United States is preferred, but the role is open to worldwide applicants. This position emphasizes careful review over speed and requires adherence to project guidelines to ensure

Qualifications

• Strong written English with error-free feedback and precise image notes.
• Keen ability to detect subtle differences between similar images.
• Background in photography, digital imaging, graphic design, or related field.
• Understanding of AI image generation processes and common failure points.
• Experience in image evaluation, data annotation, or visual QA contexts.
• Detail-oriented and reliable approach to each assignment.

Responsibilities

• Upload original images you own that strictly follow provided project specifications.
• Compare each original image with its AI-generated counterpart, performing side-by-side assessments.
• Identify and document all visual discrepancies, including lighting, perspective, texture, anatomy, and color fidelity.
• Detect and flag AI image artifacts such as warped hands, smudged surfaces, inconsistent shadows, broken patterns, or misshapen text.
• Write clear, accurate descriptions for each issue, pinpointing exact locations within the images.
• Follow detailed project guidelines and prioritize accuracy over speed.
• Provide constructive feedback for model improvement.

Skills

Attention to detail

English proficiency

Visual acuity

Photography background

AI image generation knowledge

Data annotation

Job description

Role Title: Visual Content Evaluator

Role Type: Contractor

Location: Remote

our partner 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.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.