AI Content Production Specialist
New
SpainFull-Time
Salary not disclosed
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Job Details
- Required Skills
- Prompt Engineering
Requirements
- Hands-on experience creating AI-generated image and video content using modern AI tools.
- Understanding of AI content production workflows, including prompting, references, iterations, variations, comparisons, and quality selection.
- Familiarity with common AI generation challenges such as visual artifacts, unrealistic details, poor motion, weak compositions, and model limitations.
- Strong visual judgment with the ability to assess whether generated content looks natural, high-quality, and suitable for production use.
- High attention to detail when reviewing images, videos, audio outputs, avatars, voice quality, and synchronization.
- Ability to follow structured processes while independently identifying issues and suggesting improvements.
- Comfortable working in a production-focused environment requiring multiple iterations, testing, and refinement.
- Experience with AI tools such as ChatGPT Images, Midjourney, Kling, Runway, Veo, ElevenLabs, HeyGen, Synthesia, ComfyUI, or similar platforms is a plus.
- Additional experience with video editing tools, image editing software, node-based AI workflows, digital products, advertising content, or social media creatives is advantageous.
Responsibilities
- Generate AI-powered image, video, avatar, and voice assets using prepared prompts, references, instructions, and quality criteria.
- Create multiple variations of AI-generated content, review outputs, select the strongest results, and prepare assets for further use.
- Perform quality checks across visual and audio content, identifying issues such as artifacts, unnatural details, poor animation, weak composition, incorrect lighting, voice quality problems, or synchronization issues.
- Evaluate whether AI-generated outputs are production-ready and filter out results that do not meet quality expectations.
- Support asset preparation through basic editing tasks such as cropping, resizing, exporting, organizing, and managing file versions.
- Follow established AI production workflows while identifying process improvements, recurring issues, and opportunities for better results.
- Communicate production challenges clearly and provide practical feedback on prompts, workflows, and output quality.
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