Visual Content Quality Specialist for AI Training

Crossing Hurdles; United States; On-site; USD 42,000 - 64,000; Full time

Job summary

Crossing Hurdles is seeking a meticulous reviewer to evaluate and annotate visual content for quality, usefulness, and adherence to guidelines. You will provide objective feedback to support AI training, flag inconsistencies, and help improve datasets.

The role requires clear written English, strong analytical skills, and the ability to make data-driven decisions. You will collaborate with cross-functional teams to refine criteria and processes for visual content review.

Qualifications

• Proven experience in visual content evaluation, digital media, or a related field.
• Exceptional written English communication abilities, with very high language proficiency.
• Strong analytical skills and keen attention to detail in reviewing visual materials.
• Effective problem-solving and data-driven decision-making skills.
• Familiarity with digital image formats, quality standards, and basic visual design principles.

Responsibilities

• Evaluate and annotate visual content for quality, aesthetics, and usefulness using project guidelines.
• Provide detailed, objective feedback on image content to support AI training improvements.
• Identify and flag inconsistencies, errors, or suboptimal visuals across diverse datasets.
• Utilize advanced analytical skills to assess image composition, clarity, and adherence to standards.
• Communicate findings clearly in written English with well-reasoned justifications and suggestions.
• Collaborate with cross-functional teams to refine criteria and processes for visual content review.

Skills

Visual content evaluation

Written English communication

Analytical skills

Attention to detail

Problem solving

Familiarity with image formats

Job description

Crossing Hurdles is seeking a meticulous reviewer to evaluate and annotate visual content for quality, usefulness, and adherence to guidelines. You will provide objective feedback to support AI training, flag inconsistencies, and help improve datasets.

The role requires clear written English, strong analytical skills, and the ability to make data-driven decisions. You will collaborate with cross-functional teams to refine criteria and processes for visual content review.