Remote Data Jobs • AI

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications. Collaborate closely with R&D and DevOps teams. Research, invent and adapt machine learning algorithms for dedicated business needs. Perform predictive and statistical modelling and ad-hoc analyses as required.

Listen to two audio-based chatbot conversations and compare how well they address a specific user goal, situation, or need. Evaluate and choose the higher-quality conversation. Flexible, remote microtasks on a long-term project supporting next-gen voice AI development. Top contributors may be selected for future AI projects with RWS.

As an Expert, act as a subject‑matter “teacher” for the model by writing & solving problems in Finance, designing rubrics that define what a perfect answer looks like, grading model outputs, pinpointing gaps in logic, ethics, or clarity and coaching the model to self‑evaluate, reason step‑by‑step, and unlock creativity. You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Finance.

We are seeking native Japanese speakers currently residing in Japan to participate in a long-term AI relevance project and evaluate how well user search queries align with their actual intent. This work is critical to enhancing the accuracy and effectiveness of search results and personalized content recommendations. Your contributions will play a key role in training and refining cutting-edge AI systems used in real-world search and recommendation engines.

In this role, you’ll drive the development and deployment of AI-powered operational efficiencies and AI-driven product features with a high degree of autonomy. You’ll be responsible for delivering AI agents and prompt engineering that unlocks productivity, enhances decision-making, and elevates the intelligence layer of our proprietary platform. This position blends deep hands-on experience with AI toolchains and a strategic mindset.

Join the Data Engineering team to design, build, and scale AI-driven features at Filigran. The mission involves transforming real-world security problems into intelligent product capabilities. Responsibilities include designing ML models, maintaining AI/ML pipelines, and collaborating with engineers to integrate into open-source platforms.

As an Expert, you’ll act as a subject‑matter “teacher” for the model by writing and solving problems in the domain of Chemistry. You will design rubrics that define what a perfect answer looks like, grade model outputs pinpointing gaps in logic, ethics, or clarity and coach the model to self‑evaluate, reason step‑by‑step, and unlock creativity. You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Chemistry.

Be at the forefront of AI and Machine Learning innovation! Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. Build intelligent AI agents that can reason and enhance automation. Develop personalization systems that deliver user-centric experiences.

Act as a subject‑matter “teacher” for the model, write & solve problems in the domain of Engineering, design rubrics that define what a perfect answer looks like, grade model outputs, pinpointing gaps in logic, ethics, or clarity, and coach the model to self‑evaluate, reason step‑by‑step, and unlock creativity. You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Engineering .

Seeking a talented AI Frontier Model Scientist who has recently completed their PhD to join our cutting-edge team and tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning.