Remote AI/ML Jobs at Global Top Companies, January 2026, Apply Now

Looking to work in machine learning/artificial intelligence from anywhere in the world? Our latest roundup features top remote AI/ML jobs hiring this January 2026. Whether you’re into AI, deep learning, data science or NLP, these roles offer exciting challenges and flexibility. Check them out and apply today, opportunities won’t wait!

Python and Kubernetes Software Engineer – Data, Workflows, AI/ML & Analytics at Canonical
Hiring Company: Canonical

As a software engineer on the team, you’ll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.

Founding Protocol Engineer (Web3 + AI) at Nethermind
Hiring Company: Nethermind

As our first engineering hire, you will be the technical cornerstone of ChaosChain. You will take our proven architecture and prototypes and lead the charge in building, testing, and deploying a production-ready, mainnet protocol. You will work directly with the founder to translate a powerful vision into secure, elegant, and scalable code.

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Machine Learning Engineer — Distillation at Featherless.ai
Hiring Company: Featherless.ai

We’re looking for a Machine Learning Engineer focused on model distillation to help us build smaller, faster, and more efficient models without sacrificing quality. You’ll work at the intersection of research and production—taking cutting-edge techniques and turning them into systems that scale.

AI Engineer New Grad 2025-2026 – Poe at Quora
Hiring Company: Quora

Responsibilities: Work with other engineers on a wide variety of AI engineering tasks, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization, etc to improve our existing applied AI systems

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AI Specialist – NICE CXone Developer – CXone Mpower at Spectrum One
Hiring Company: Spectrum One

We are looking for a specialized NICE CXone Developer to lead the optimization and evolution of our contact center operations. This role requires a technical expert who understands the legacy stability of NiceInContact but is eager to deploy the cutting-edge capabilities of CXone Mpower.

Machine Learning Engineer — Multilingual Data at Featherless.ai
Hiring Company: Featherless.ai

We’re looking for a Machine Learning Engineer to own and scale our multilingual data pipeline—from sourcing and curation to evaluation and continuous improvement. You’ll work closely with researchers and infra engineers to ensure our models perform robustly across languages, scripts, and cultural contexts.

Machine Learning Engineer — AI Architecture Research at Featherless.ai
Hiring Company: Featherless.ai

We’re looking for a Machine Learning Engineer focused on AI architecture research to help design, prototype, and validate next-generation model architectures. You’ll work at the intersection of research and production — turning new ideas into scalable, real-world systems.

AI Researcher — AI Architecture Research at Featherless.ai
Hiring Company: Featherless.ai

We’re looking for an AI Researcher focused on AI architecture research to help design, analyze, and advance next-generation model architectures. You’ll work at the intersection of theory and production—publishing novel research while collaborating closely with engineers to turn ideas into real systems.

AI Researcher – Multilingual Data at Featherless.ai
Hiring Company: Featherless.ai

We’re looking for an AI Researcher focused on multilingual data to help us build and scale next-generation language models across diverse languages and domains. You’ll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems.

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