Research scientist, research engineer and AI researcher roles at AI labs and AI-native companies, most imported from their own career pages.
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Posted 2 months ago
ElevenLabs
United Kingdom
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ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like A...
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Posted 3 months ago
Character.AI
Redwood City or New York City
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Joining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models, optimizing their perfo...
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Posted 3 months ago
Character.AI
Redwood City, CA
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Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment. Your...
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Posted 3 months ago
LlamaIndex
San Francisco
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Join us and help shape the future of AI by defining the narrative around document understanding. We are looking for an AI Research Engineer to join ou...
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Posted 3 months ago
Baseten
San Francisco
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Posted 3 months ago
Abridge
NYC Office
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Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to he...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure pow...
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The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial Gener...
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Posted 3 months ago
Cohere
Paris
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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How it works
Career context
AI companies hire researchers to make their models better: pre-training and post-training, reinforcement learning, evaluations, data, efficiency and new modalities. Titles vary: research scientist, research engineer, AI researcher, research staff or member of technical staff (research). Research engineers usually spend more time on training code and infrastructure; research scientists more on ideas and experiments, but many teams use one title for both.
Most of the roles below come from AI labs and AI companies' own career pages. Read each listing for the area (for example RL, evals or pre-training) and what it expects: papers, open-source work, or shipped training runs.
Why RemoteAI
Some roles are posted here by the company, others link to the company's own job page. Closed roles are marked as closed, and there are no recruiter markups.
Roles are filtered to AI work. Each listing shows the company and links to its own job page.
No recruiter in the middle. Your application goes to the company making the decision, here or on its own job page. No markups.
Your profile, browsing and up to 20 applications a day are free. No placement fee, no share of your salary, no exclusive contract.
Jobs posted on RemoteAI show a pay range. Listings from company career pages show it when the company publishes one.
Remote and remote-friendly roles. Some require timezone overlap or a country, and the listing says where you can work from.
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
Many research roles at AI labs are hybrid or tied to an office (San Francisco, London, New York); others are fully remote. Each listing shows the employer's location rules and published range.
Pre-training, post-training, RL, evals, multimodal or efficiency. Apply to roles that match what you have actually worked on.
Papers, replications, open-source code or training runs with numbers. A clear write-up of one experiment beats a long list.
Each listing links to the official application.
Profile guide
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Distributed training, mixed precision and debugging runs that fail after hours.
Building tests that show whether a change really helps, not just on one benchmark.
RL from human or AI feedback and reward design are core to post-training teams.
Clean, fast research code in Python and PyTorch or JAX that others can build on.
Turning a new paper into working code quickly.
Research ends in decisions: short write-ups with the result and its limits.
Explore more roles
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LLM evaluation, RAG & prompt optimization
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Applied AI, LLM & generative AI products
Pipelines, ETL & data platforms
Ship AI solutions with customers
Alignment, evaluations & responsible AI
Junior roles & AI internships
Contract & freelance AI projects
FAQ
Everything you need to know before applying for your first AI research scientist role.
An AI research scientist designs and runs experiments to improve models: new training methods, data, reinforcement learning, evaluations or architectures. In AI companies the work usually ends in a change that ships in a model or product.
Research engineers usually focus on training code, infrastructure and making experiments run at scale; research scientists focus more on which experiments to run. Many AI labs use one combined title, so read the listing.
Some are fully remote; many at AI labs are hybrid or office-based, sometimes with travel. The location on each listing is what the employer published.
Some research scientist roles ask for one; many research engineer roles do not and look for strong engineering and shipped training work instead. Each listing states what it requires.
Yes, for normal use: profiles, browsing and up to 20 applications a day are free. Credits are optional, for extra applications or to put one at the top.
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