8 Remote AI Jobs Worldwide - August 30, 2026
Fresh remote AI engineering, machine-learning, LLM, and MLOps opportunities. This edition contains 8 roles from public job sources.
Staff Product Engineer
Help Scout
Job description
Who we are Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond. Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it. We’ve been a fully remote team since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career. If that kind of challenge gives you energy, we’d love to meet you. About this role This role sits on our Agents team — the group building the AI-powered experiences our customers use every day. It's where large language models stop being a demo and become a dependable part of the product: answers, drafts, and assistive features that have to be fast, trustworthy, and genuinely useful in front of real customers. We're looking for an engineer who can build that end-to-end — from the retrieval and agentic plumbing behind a feature to the polished, fast, accessible interface a support agent actually touches. You'll have a frontend center of…
Qualifications and key skills
- LLMs
- RAG
- SQL
- AWS
Suggested preparation tools
- AI-focused resume tailored to the role
- GitHub portfolio
- Technical interview project walkthrough
How to apply
View role and applySource: Jobicy. Verify role availability and requirements with the employer before applying.
Research Engineer, Knowledge Team
Anthropic
Job description
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div> <h2>About the role:</h2> </div> <div> <p>We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.</p> </div> <h2>Responsibilities:</h2> <ul> <li>Designing and implementing from scratch new information architecture strategies</li> <li>Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures</li> <li>Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data</li> <li>Designing and evaluating advanced agentic search capabilities.</li> </ul> <h2>You may be a good fit if you:</h2> <ul> <li>Are a very experienced…
Qualifications and key skills
- Python
- LLMs
- RAG
- AWS
Suggested preparation tools
- Hugging Face project portfolio
- RAG system case study
- GitHub implementation examples
Company details
How to apply
View role and applySource: Anthropic Careers. Verify role availability and requirements with the employer before applying.
Research Engineer, Machine Learning (RL Velocity)
Anthropic
Job description
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the role</strong></h2> <p>The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.</p> <h2 class="heading"><strong>Responsibilities</strong></h2> <ul> <li>Build and improve the RL training infrastructure that researchers depend on day-to-day</li> <li>Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed</li> <li>Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling…
Qualifications and key skills
- PyTorch
- RAG
- AWS
Suggested preparation tools
- MLflow or Weights & Biases portfolio project
- Docker and cloud deployment practice
- GitHub project case study
Company details
How to apply
View role and applySource: Anthropic Careers. Verify role availability and requirements with the employer before applying.
Research Engineer, Model Evaluations
Anthropic
Job description
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="3:1-3:18;40-57">About the role</h2> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]" data-sourcepos="5:1-5:267;59-325">We're looking for Research Engineers to build the evaluations that tell us — and the world — what Claude can actually do. Your work will turn ambiguous notions of "intelligence" into clear, defensible metrics that researchers, leadership, and the public can rely on.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]" data-sourcepos="7:1-7:548;327-874">You'll design and implement evaluations across the full spectrum of Claude's capabilities and personality, and build the infrastructure that runs them reliably at scale. You'll partner closely with researchers throughout the lifecycle of a new capability — from defining what to measure, to running the eval against live training checkpoints, to interpreting the results. The goal is to make Anthropic the…
Qualifications and key skills
- Python
- LLMs
- RAG
- AWS
Suggested preparation tools
- MLflow or Weights & Biases portfolio project
- Docker and cloud deployment practice
- GitHub project case study
Company details
How to apply
View role and applySource: Anthropic Careers. Verify role availability and requirements with the employer before applying.
Research Engineer/Research Scientist, Pre-training
Anthropic
Job description
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p>Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development</li> <li>Independently lead small research projects while collaborating with team members on larger initiatives</li> <li>Design, run, and analyze scientific experiments to advance our understanding of large language models</li> <li>Optimize and scale our training infrastructure to improve efficiency and reliability</li>…
Qualifications and key skills
- Python
- PyTorch
- LLMs
- RAG
- AWS
- Kubernetes
Suggested preparation tools
- MLflow or Weights & Biases portfolio project
- Docker and cloud deployment practice
- GitHub project case study
Company details
How to apply
View role and applySource: Anthropic Careers. Verify role availability and requirements with the employer before applying.
Research Engineer, Universes
Anthropic
Job description
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the Team</strong></h2> <p>The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios.</p> <h2 class="heading"><strong>About the Role</strong></h2> <p>We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI.</p> <p>This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine…
Qualifications and key skills
- LLMs
- RAG
- AWS
Suggested preparation tools
- AI-focused resume tailored to the role
- GitHub portfolio
- Technical interview project walkthrough
Company details
How to apply
View role and applySource: Anthropic Careers. Verify role availability and requirements with the employer before applying.
Machine Learning Engineer
Liftoff
Job description
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. About the Revenue Engine team The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition. The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers. As a Machine Learning Engineer on the Revenue Engine team, you will: Build statistical models and production systems to balance advertiser performance with business goals. Tune optimization parameters, measure internal competition, and model dynamic environments. Design and run experiments to validate theories underpinning the mobile ad tech economy. Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations. Collaborate with a team of world-class engineers with diverse…
Qualifications and key skills
- RAG
Suggested preparation tools
- MLflow or Weights & Biases portfolio project
- Docker and cloud deployment practice
- GitHub project case study
How to apply
View role and applySource: Jobicy. Verify role availability and requirements with the employer before applying.
Principal Data Engineer
Vomela
Job description
At Vomela our greatest asset is our people. As a full-service visual communications company, we are looking for creative and intellectual thinkers that work with our customers to create compelling brand solutions and foster meaningful connections. And while you're focused on creating big things for global and local brands, we will help you build a career you can be passionate about. Apply now to find your place at Vomela. Pay Range: $180 - 200k USD Job Summary The Principal Data Engineer is the highest-performing contributor on our data engineering team - the person who sets the technical bar, owns the data platform end to end, and delivers work that others study. You'll define and execute data strategy at the engineering level, operating as the technical point of the spear for how the organization builds, scales, and trusts its data. You write production code. You design the architecture. You solve the problems that block everyone else. You mentor without being asked, influence without authority, and deliver without handholding. You're a force multiplier and you're hungry to shape not just the platform, but the broader data strategy of the business. Microsoft Fabric is our data platform. This role is for someone genuinely energized by the Fabric ecosystem, who tracks its evolution closely and sees its breadth - Lakehouse’s, Event streams, Semantic models, Notebooks, Pipelines, Direct Lake as an opportunity, not a constraint. If you're looking for a role where your technical judgment shapes the trajectory of the entire data organization, this is exactly it. What You'll…
Qualifications and key skills
- SQL
- Azure
Suggested preparation tools
- MLflow or Weights & Biases portfolio project
- Docker and cloud deployment practice
- GitHub project case study
How to apply
View role and applySource: Remote OK. Verify role availability and requirements with the employer before applying.
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