This role is for one of our clients
Compensation: $60-$90 per hour
Location: Remote, United States (PST to EST hours)
Join a leading AI lab at the forefront of generative AI innovation and help shape the future of advanced video enhancement technologies. We are seeking experienced visual quality professionals with exceptional attention to detail and a deep understanding of image fidelity, video quality, and cinematic presentation.
This role focuses on evaluating AI-generated video upscaling and enhancement outputs. You will apply your expertise to assess frame-by-frame quality, identify subtle visual artifacts, and help establish the standards used to evaluate next-generation AI models.
If you have spent years professionally reviewing image quality, visual effects, cinematography, color workflows, or high-resolution digital media, this opportunity offers a unique chance to apply those skills to cutting-edge AI systems.
This is a part-time position with the opportunity to collaborate closely with leading AI researchers and engineers developing advanced visual AI technologies.
Requirements
Key Responsibilities
Evaluate Video Quality
- Review AI-generated video outputs for sharpness, clarity, detail retention, and overall visual fidelity.
- Identify compression artifacts, aliasing, noise patterns, ringing, temporal inconsistencies, and other quality defects.
- Conduct frame-by-frame analysis to assess image integrity and consistency.
Define Evaluation Standards
- Help establish quality benchmarks and review criteria for video enhancement and super-resolution models.
- Identify the visual characteristics that most strongly influence perceived quality and realism.
Create Benchmark References
- Curate examples of both high-quality and challenging visual content for model evaluation.
- Assist in developing standardized reference sets for testing and comparison.
Provide Structured Feedback
- Translate complex visual observations into clear, actionable feedback and evaluation documentation.
- Contribute to annotation frameworks, reviewer guidelines, and quality assessment rubrics.
Collaborate with Research Teams
- Work alongside AI researchers, engineers, and creative professionals to improve model evaluation methodologies.
- Help refine quality metrics and human-review processes for visual AI systems.
Ideal Backgrounds
Professionals with experience in one or more of the following areas are encouraged to apply:
- Visual Effects (VFX) Supervisor
- Rendering Supervisor
- Lighting Supervisor, Lead, or Artist
- Colorist
- Director of Photography (DP) or Cinematographer
- Effects Artist
- Surfacing Artist
- Professional Photographer
- Film Director
- Digital Projectionist
- Digital Imaging Technician (DIT)
- Post-Production Quality Control Specialist
Required Qualifications
- 7–10 years of professional experience in visual quality evaluation, film production, visual effects, post-production, digital media, or professional photography.
- Strong understanding of:
- Image fidelity and resolution
- Video compression artifacts
- Digital imaging pipelines
- Color grading and color science
- Texture and detail preservation
- Cinematic image quality standards
- Reliable access to a 4K-resolution monitor for detailed visual review.
- Familiarity with AI-powered creative tools and workflows.
- Excellent written communication skills with the ability to describe subtle visual characteristics precisely.
- Fluency in English.
Preferred Qualifications
- Formal education or specialized training in film, visual effects, animation, photography, digital media, or a related discipline.
- Experience conducting image quality reviews, dailies sessions, rendering reviews, or post-production quality control.
- Familiarity with super-resolution, image restoration, denoising, or AI-generated video technologies.
- Experience creating quality standards, evaluation frameworks, or reviewer guidelines.
Why Join
- Help define the quality standards for next-generation AI video systems.
- Influence how advanced AI models are evaluated and improved.
- Work alongside leading researchers and engineers at the forefront of visual AI innovation.
- Apply your expertise to solve challenging visual quality problems that impact future creative technologies.
Equipment Requirements
- Reliable access to a professional-grade 4K monitor or equivalent high-resolution display capable of supporting detailed visual analysis.
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
