
Job Overview
Location
Any
Job Type
Full-time
Category
Product Management
Date Posted
June 19, 2026
Full Job Description
đź“‹ Description
- • Create high-quality, instruction-following prompts in French for video composition AI systems, simulating real-world enterprise user requests across multiple industries and use cases.
- • Develop Copilot-style prompts based on predefined personas and enterprise scenarios, ensuring alignment with project guidelines and quality standards.
- • Complete tasks involving document summaries, video highlights, and business use cases by generating precise, context-rich prompts that reflect authentic user intent.
- • Review short narrative inputs and select relevant visuals from a pre-approved library to support prompt generation, ensuring visual-textual coherence.
- • Produce 5–10 prompts per contributor, with each prompt requiring careful attention to detail, linguistic accuracy, and contextual relevance in French.
- • Participate in a fully remote, asynchronous, task-based workflow with no fixed schedule; complete work on your own time as tasks become available.
- • Ensure all outputs meet strict quality thresholds; only approved prompts will be eligible for payment, with compensation tied to task complexity and approval quality.
- • Adhere to project-specific guidelines and recording requirements provided after onboarding, including formatting, tone, and structural expectations for prompts.
- • Contribute to the development of next-generation AI systems focused on video understanding and generation, directly impacting enterprise-grade AI applications.
- • Complete mandatory behavioral pre-screening and KYC verification prior to beginning work, as required by CrowdGen’s compliance protocols.
- • Operate as an Independent Contractor under CrowdGen, with no employment relationship to Appen Limited or CrowdGen beyond the scope of this project-based engagement.
- • Begin participation only after receiving an email invitation from CrowdGen, creating your account, resetting your password, and successfully completing all onboarding steps.
- • Submit prompts through the designated platform, ensuring each submission is original, properly formatted, and free of errors to maximize approval likelihood.
- • Maintain consistent quality across all submissions, as repeated low-quality outputs may result in disqualification from future tasks.
- • Contribute to a dataset designed to train AI models to interpret and generate video content based on complex, nuanced human instructions.
🎯 Requirements
- • Native or fluent French proficiency required
- • Prior corporate or professional experience preferred
- • Must complete behavioral pre-screening and KYC verification
- • Ability to produce high-quality, instruction-following output in French
- • Access to reliable internet and device for task submission
- • Willingness to work as an Independent Contractor on a project-based, task-by-task basis
🏖️ Benefits
- • Fully remote and asynchronous work with flexible scheduling
- • Paid per completed prompt, with compensation based on task complexity and approval quality
- • Opportunity to contribute to cutting-edge AI systems used in enterprise video understanding and generation
- • Project-based engagement with no long-term commitment required
Skills & Technologies
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About Appen Limited
Appen Limited is an Australian publicly traded company that provides data annotation, collection, and evaluation services to improve machine-learning models for technology, automotive, and government clients worldwide. Leveraging a global crowd of over one million contributors, it produces high-quality training data for speech recognition, computer vision, search relevance, natural-language processing, and sentiment analysis systems. Founded in 1996 and headquartered in Sydney, Appen supports more than 235 languages and dialects, enabling scalable, accurate datasets that power AI applications across autonomous vehicles, virtual assistants, e-commerce, and social media platforms while emphasizing ethical crowd practices and data security.
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