Visual Content Evaluator

micro1; United States; Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Job summary

micro1 is a data lab focused on evaluating AI-generated imagery and improving model performance. The Visual Content Evaluator role is a remote contractor position based in the United States, requiring keen attention to detail and strong written feedback.

You will assess original versus AI-generated images, document discrepancies, and provide precise notes to guide improvements. No prior AI experience is required; domain knowledge in imaging and photography is valuable to describe technical

Qualifications

• Remote contractor role requiring strong written feedback and attention to detail.
• Experience in image evaluation and QA for AI datasets.
• Familiarity with AI image generation artifacts and quality issues.
• Excellent English communication and precise descriptive notes.

Responsibilities

• Upload original images per project specs.
• Perform side-by-side comparisons with AI-generated images.
• Document visual discrepancies and artifacts with exact locations.
• Provide clear written descriptions of issues and where they occur.
• Offer constructive feedback to aid model improvement.
• Follow project guidelines with emphasis on accuracy over speed.
• Maintain thorough, actionable feedback across all evaluations.

Skills

image evaluation

visual content

image editing

Job description

Pay: $40 - $60/hour

Required Skills

• image evaluation
• visual content
• imagen editing
• constructive feedback

About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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.
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