AI/ML Engineer, Paris
Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into development processes. Optimize AI models for mobile environments to ensure high performance and low latency.
AI Workflow Engineer - Freelance AI Trainer
Design and evaluate workflows integrating LLM APIs such as OpenAI, Claude, Gemini or similar. Build and optimize AI-powered automation systems focused on content generation, enrichment, and communication. Develop and refine prompt frameworks for consistent and high-quality outputs across workflows. Create systems for personalized automated outreach including email, messaging flows, and lead enrichment. Structure and preprocess data to ensure stable model behavior and reliable outputs. Analyze and enhance AI-driven pipelines for scalability, efficiency, and accuracy.
Freelance n8n Workflow Developer - AI Trainer
Design, build, and evaluate advanced workflows in self-hosted n8n environments. Architect multi-system integrations for scalable automation pipelines. Develop and optimize AI-powered workflows such as content generation, automation pipelines, and enrichment systems. Build and maintain lead generation, outreach, and data processing automation systems. Implement web scraping workflows and ensure reliable data extraction and processing. Optimize workflow execution, node sequencing, and error handling to prevent failures, delays, and API timeouts.
Freelance Mathematics Expert - AI Trainer
Contributors may design rigorous mathematics problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
AI Deployment Engineer | Codex
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
Member of Technical Staff (Data): World Models
Design, automate, maintain, and optimize Python ETL pipelines (Spark/Ray) for large-scale multimodal data. Build and maintain data cataloging, lineage, quality tooling, integrity verification, access controls, and lifecycle management systems. Provide guidance, internal tools, and documentation to colleagues on data best practices. Serve as a custodian of the company’s datasets, ensuring overall data health, quality, and discoverability.
Machine Learning Engineer (Semantic Scene Understanding)
Design and train state-of-the-art machine learning algorithms for semantic segmentation, object detection, and classification tailored to aerial imagery. Build high-level tactical features on top of base semantic data, such as real-time road vectorization, trafficability analysis, and dynamic obstacle mapping. Architect pipelines that temporally and spatially align semantic data from multiple moving UAVs into a cohesive Common Operational Picture (COP). Optimize and deploy these algorithms directly into the tactical C2 platform, utilizing quantization, pruning, and hardware acceleration to meet strict real-time compute constraints.
Statistics & Python Expert - Freelance AI Trainer
Design original computational statistics problems that simulate real mathematical research workflows; create problems requiring Python programming to solve using Numpy, SciPy, Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Applied Scientist / Research Engineer - Multimodal (Come to Singapore)
The role involves focusing on multimodal learning across text, image, audio, and video to drive innovative research and collaborate with clients on complex projects. Responsibilities include designing, training, and deploying state-of-the-art multimodal models such as Omni-models, VLMs, audio, image generation, and robotics, applying them to diverse use cases like enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. The position requires running pre-training, post-training, and deploying state-of-the-art models on clusters with thousands of GPUs, generating and curating multimodal datasets at web scale, building evaluators and benchmarks for perception, grounding, OCR, and captioning, developing tools and frameworks for data generation, model training, evaluation, and deployment, collaborating cross-functionally with science, engineering, and product teams to address complex use cases using agents and RAG pipelines, and managing research projects and communications with client research teams.
Freelance Junior Journalist - AI Trainer
As an AI Trainer - Junior Journalist, you will help train AI models by crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. Your tasks may include crafting original, clear, and fact-checked responses based on project guidelines, generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate the accuracy of the AI's answers, and following style and quality standards to ensure consistency.
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