Junior, graduate, associate and internship roles in AI and data — remote, listed from employers' own career pages.
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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.
Posted 3 months ago
United States — Los Angeles (UTC-7)
When a data pipeline fails, the data for that time window doesn't just disappear — it needs to be recovered and processed to fill the gap. When a sche...
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Data annotation quality determines model quality — but you can't manually review every annotation in a batch of 100,000 labeled examples. Statistical...
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Posted 3 months ago
United Kingdom — London (UTC+1)
Glacial melt is one of the most directly measurable consequences of climate change and one of the most important inputs to sea level rise projections....
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Cloud workloads have a carbon footprint that varies significantly based on which region they run in, what time of day they run, and which cloud provid...
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Posted 3 months ago
United States — New York (UTC-4)
Data catalogs store metadata about available datasets. They don't tell you which datasets you should care about for your current analytical project. A...
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When a customer escalates from a chatbot to a human agent, it means the bot failed. Sometimes the failure is a gap in bot knowledge. Sometimes it's a...
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A regulation rarely exists in isolation. GDPR Article 17 references Article 6 for its lawful basis conditions. The FDA's 21 CFR Part 11 electronic rec...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
Mixing two tracks requires that their tempos align. Syncing a musical track to video requires that beat positions match edit points and scene transiti...
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Posted 3 months ago
United States — New York (UTC-4)
When an incident is over, the first question is: what exactly happened, and in what order? Reconstructing a coherent incident timeline from alert logs...
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Posted 3 months ago
United States — New York (UTC-4)
When a financial regulation changes, compliance teams need to understand what it means for their specific business before it takes effect. The analysi...
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Career context
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
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
Internships and junior roles at AI companies are usually paid; ranges depend on country and company. Each listing shows what the employer published.
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.
Say which role you want (data analyst, ML engineer, AI engineer) and show the matching projects first.
Junior roles fill fast. Apply in the first days after a listing appears, through the employer's own page.
Profile guide
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
The two skills every entry-level AI and data role checks first.
Even a small app others can use shows more than course certificates.
Explaining what your model gets wrong is a strong signal of maturity.
Clear written updates matter even more in remote teams.
Fixes and docs in AI libraries show you can work in real codebases.
Reading papers, testing new models and writing about it marks you out.
Explore more roles
Production ML, deep learning & AI infrastructure
RAG pipelines, agentic systems & generative AI
Analytics, forecasting & applied ML
ML infrastructure, model serving & CI/CD
Language models, transformers & text AI
AI-native product strategy & roadmap
Image AI, object detection & edge deployment
AI agents, n8n & workflow automation
LLM evaluation, RAG & prompt optimization
AI tutoring, RLHF & red teaming
Labeling, rating, evaluation & transcription
Applied AI, LLM & generative AI products
Pipelines, ETL & data platforms
Ship AI solutions with customers
Alignment, evaluations & responsible AI
Contract & freelance AI projects
FAQ
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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