
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• 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. • 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. • Curate examples of both high-quality and challenging visual content for model evaluation. • Assist in developing standardized reference sets for testing and comparison. • Translate complex visual observations into clear, actionable feedback and evaluation documentation. • Contribute to annotation frameworks, reviewer guidelines, and quality assessment rubrics. • Work alongside AI researchers, engineers, and creative professionals to improve model evaluation methodologies.
• 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.
Apply Now🔥 2 hours ago
51 - 200
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