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Shape the Future of Artificial Intelligence Together

At Detail Future, every creative contribution is valued,
every line of code, every dataset and every breakthrough
helps bring the era of embodied intelligence closer.

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What We Believe

Innovation Driven

Explore frontier technologies and challenge the impossible

Open Collaboration

Share openly across boundaries to create greater value

Pursue Excellence

Deliver outstanding results through attention to detail

Long-term Thinking

Build sustainable products and organizations

Open Positions

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Sci-Tech Strategy Researcher

Frontier Technology

Hangzhou | Hong Kong | Singapore

1. Establish Sci-Tech Evaluation System: Focus on core tracks including AI, Large Language Models, and embodied intelligence. Formulate screening and evaluation criteria for high-quality projects and scientific research teams through technical research, university visits and in-depth project tracking. Review practical experience, continuously iterate and optimize the company’s sci-tech project review system and research methodology, and build a professional and refined sci-tech screening mechanism. 2. Conduct Cutting-Edge Technology Strategic Research: Continuously track the technological iteration, industrial dynamics and market competition landscape of frontier artificial intelligence technologies. Independently conduct in-depth research on segmented fields and deliver insightful industry analysis and strategic research reports for corporate decision-making. Identify technological innovation opportunities to support the company’s technology layout, new business incubation and R&D investment prioritization. 3. Source and Evaluate High-Quality Scientific Research Resources: Connect with universities, research institutes and sci-tech innovation platforms nationwide to discover and fully evaluate outstanding research teams in intelligent technology fields. Build and maintain a database of industry experts, organize industry-university-research exchanges and technical seminars, and continuously accumulate high-quality sci-tech innovation resources. 4. Full-Lifecycle Management of Sci-Tech Projects: Track the progress, control risks, and coordinate internal and external communication for cooperative sci-tech projects. Oversee the full lifecycle of innovative projects from R&D iteration to industrial implementation. Explore commercialization opportunities for technological achievements, connect industry-university-research resources, promote the transformation and landing of scientific research results, and drive the upgrading of the company’s intelligent technology business. 5. Cross-Departmental Collaboration and Mechanism Optimization: Integrate internal and external technical and industrial resources, and cooperate with R&D, business, operation and other departments to promote project implementation, ensuring that technology layout is highly aligned with the company’s overall strategy. Summarize full-process experience in project research, team evaluation and industrial docking, and continuously optimize departmental workflows and institutional systems for sci-tech incubation and strategic layout.

Business

International Business Development Manager

Hong Kong | Singapore | USA

* Responsible for overseas client development in the embodied robotics and AI data sectors. * Build and manage global partner networks. * Drive international AI data collaborations. * Conduct market research and business negotiations.

Project Manager

Data Delivery Manager

Hangzhou | Hong Kong | Singapore

• Manage the end-to-end delivery of global AI and Embodied AI data projects. • Develop project plans, delivery schedules, and risk mitigation strategies. • Coordinate with clients, data partners, suppliers, and cross-functional teams. • Ensure high-quality, compliant, and on-time project delivery.

Data

Data Collection Solution Engineer

Hangzhou | Hong Kong | Singapore

* Design data collection solutions for Embodied AI projects. * Plan scenarios, hardware configurations, and collection workflows. * Support domestic and international data collection operations. * Monitor collection quality and optimize workflows. * Prepare customer-oriented collection proposals.

Technology

Embodied AI Data Engineer

Hangzhou | Hong Kong | Singapore

* Design and implement data solutions for Embodied AI projects. * Build and manage robot training datasets, egocentric datasets, and multimodal datasets. * Participate in data collection, annotation, cleaning, quality control, and delivery workflows. * Improve data production efficiency and standardization processes. * Support customer delivery and technical solution development.