Computer Vision Specialist - Freelance AI Trainer Project

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$8-$65/hr From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$81,444 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

7% below the BLS role benchmark for healthcare aggregate.

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Healthcare From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Computer Vision Specialist - Freelance AI Trainer Project United States of America Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving. With high-quality training data, tomorrow's AI can deliver more accurate, reliable, and innovative solutions across fields such as robotics, augmented reality, 3D reconstruction, and visual mapping. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a Homography specialist who can bring mathematical precision, domain knowledge, and practical problem-solving skills to training data. You'll work with cutting-edge AI tools, evaluate and refine outputs, and provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and collaborate with our team to refine prompts, evaluation methods, and domain-specific guidelines. Tasks may include selecting and labeling static points across images, conducting manual and synthetic homographies, validating transformation accuracy, and documenting error behavior for model improvement. Foundational knowledge of homography and projective geometry is required, supported by coursework, research, or applied experience in computer vision, robotics, graphics, or related fields. A degree in mathematics, computer science, or engineering is a plus. Strong analytical ability, clear communication skills, and attention to detail are essential. Ready to channel your homography expertise into building

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