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Junior, associate, graduate and intern roles. Updated daily.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Legal research has a well-known efficiency problem: junior associates at law firms spend 40-60% of their billable hours finding and summarizing cases....
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We serve 120,000 developers who use our AI platform to build production applications. Our documentation is good. Our tutorials are passable. But our i...
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Accessibility compliance testing today is largely manual: designers run through checklists, QA engineers test screen readers, and accessibility consul...
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We build AI agents for video game testing. Instead of humans playing through 400 hours of a game looking for bugs, our RL agents explore game environm...
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Data pipelines break at 3 AM and nobody finds out until a stakeholder notices wrong numbers in a dashboard the next morning. Data reliability engineer...
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Our AI creative platform helps marketing teams produce ad copy, product descriptions, email subject lines, and social content at scale. The platform h...
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We help companies understand whether their AI investments are actually paying off. Not with vibes — with numbers. Our analytics platform tracks AI pro...
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We build the APIs that connect AI models to business applications. Not the models themselves — the plumbing around them. Authentication, rate limiting...
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We build AI-powered customer support tools for mid-size SaaS companies. Our product takes a company's help docs, API references, and past support tick...
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Our ML platform runs 20 models for internal teams, and the person who built it is now our VP of Engineering. She needs someone to maintain what she bu...
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Career context
Your first AI job is won with projects
Entry-level AI roles exist, but each one gets many applicants. What gets early-career candidates hired is visible work: a small product that uses a model, a cleaned dataset with an analysis, a fine-tuned model with an honest evaluation, or a contribution to an open-source AI project.
This page lists junior, associate, graduate and intern roles from AI and data companies. AI training, annotation and evaluation work is also a common first step into AI — see the AI trainer and data annotation pages for those roles.
Why RemoteAI
Built for AI specialists.
Not general job boards.
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
AI-only job listings
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
Direct access to hiring teams
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Always free for candidates
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Salary shown upfront
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Fully remote positions
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Full application tracking
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
How to find a junior AI engineer job on RemoteAI
Internships and junior roles at AI companies are usually paid; ranges depend on country and company. Each listing shows what the employer published.
Build two real projects
One that uses an AI model in an app, one that works with messy data. Put both on GitHub with a short README and results.
Write a focused profile
Say which role you want (data analyst, ML engineer, AI engineer) and show the matching projects first.
Apply early and widely
Junior roles fill fast. Apply in the first days after a listing appears, through the employer's own page.
Profile guide
How to stand out as a junior AI engineer
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Python and SQL
The two skills every entry-level AI and data role checks first.
A deployed project
Even a small app others can use shows more than course certificates.
Honest evaluation
Explaining what your model gets wrong is a strong signal of maturity.
Communication
Clear written updates matter even more in remote teams.
Open-source contributions
Fixes and docs in AI libraries show you can work in real codebases.
Curiosity
Reading papers, testing new models and writing about it marks you out.
Explore more roles
Every AI specialty. One platform.
ML Engineer jobs
Production ML, deep learning & AI infrastructure
LLM Engineer jobs
RAG pipelines, agentic systems & generative AI
Data Scientist jobs
Analytics, forecasting & applied ML
MLOps Engineer jobs
ML infrastructure, model serving & CI/CD
NLP Engineer jobs
Language models, transformers & text AI
AI Product Manager jobs
AI-native product strategy & roadmap
Computer Vision Engineer jobs
Image AI, object detection & edge deployment
AI Automation Specialist jobs
AI agents, n8n & workflow automation
Prompt Engineer jobs
LLM evaluation, RAG & prompt optimization
AI Trainer jobs
AI tutoring, RLHF & red teaming
Data Annotation jobs
Labeling, rating, evaluation & transcription
AI Engineer jobs
Applied AI, LLM & generative AI products
Data Engineer jobs
Pipelines, ETL & data platforms
Forward Deployed Engineer jobs
Ship AI solutions with customers
AI Safety & Governance jobs
Alignment, evaluations & responsible AI
Freelance AI Jobs jobs
Contract & freelance AI projects
FAQ
Questions about entry-level AI jobs and internships
Everything you need to know before applying for your first junior AI engineer role.
Yes, but projects replace experience. Junior and intern roles look for proof that you can build: small AI apps, data analyses and open-source contributions. AI training and data annotation work is another common first step.
Many listings mention a degree in computer science, maths or a related field, but a strong portfolio often matters as much. Internships are usually reserved for current students or recent graduates.
Python, SQL, basic statistics, then how to use and evaluate models (including LLM APIs). Build projects as you learn rather than collecting courses.
Most internships at AI companies are paid. The ones listed here are remote according to the employer, sometimes limited to certain countries.
Yes. Creating a profile, browsing and applying are free.
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