Job Summary: As a Video related professional for AI training, 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.
Key Responsibilities:
- Leverage your hands-on video expertise—be it editing, filming, special effects, post-production, or motion graphics—to provide precise feedback and insights for AI model improvement.
- Analyze video content, identifying nuances, technical details, and creative techniques crucial for training advanced AI systems.
- Collaborate with AI researchers and engineers to interpret, annotate, and assess video datasets for model training and evaluation.
- Review and critique AI-generated video outputs, ensuring accuracy, quality, and adherence to industry standards.
- Document your observations clearly, combining strong written and verbal communication to facilitate effective cross-functional collaboration.
- Assist in curating diverse, high-quality video samples representing a wide array of genres, formats, and production scenarios.
- Stay informed about emerging video trends and technologies to ensure relevance and innovation in AI training materials.
Required Skills and Qualifications:
- Extensive professional experience in a video-centric role (e.g., video editor, filmographer, VFX specialist, motion artist, or similar).
- Deep understanding of video production workflows, editing software, and/or visual effects pipelines.
- Exceptional attention to detail with a keen eye for technical and aesthetic video quality.
- Outstanding written and verbal communication skills, with the ability to explain complex video concepts to non-experts.
- Ability to work independently and manage time effectively in a remote environment.
- Strong problem-solving skills and a collaborative mindset.
- Comfortable providing constructive feedback and engaging in iterative, detail-oriented tasks.
Preferred Qualifications:
- Experience working with AI, machine learning, or data annotation projects.
- Broader familiarity with various video genres, production styles, and technical standards.
- Background in training, mentoring, or technical documentation within the video industry.
