Remote AI/ML Intern: Build Predictive Models & APIs

INTERNECTUAL; United States; Remote; USD 21,000 - 34,000; Part time

Benefits offered by this job

Flexible schedule

Work from home

Job summary

INTERNECTUAL is offering a fully remote, project-based AI internship. You will join the Applied AI team and work on real client briefs to turn messy data into predictive models. You’ll own models from raw data to a working API and explain results to non-technical clients.

The role focuses on forecasting, risk flags, ranking and classification, with emphasis on reproducibility, evaluation metrics, and client-ready documentation.

Qualifications

• Comfortable writing basic Python and exploring data.
• Curious about how data turns into decisions.
• Open to students, recent graduates, or career switchers.

Responsibilities

• Clean, explore and document real-world datasets before modelling.
• Build baseline models and improve them with evidence.
• Engineer reproducible pipelines in Python ecosystems.
• Serve models via an API (e.g., FastAPI) and validate inputs.
• Document model limitations, bias and usage in simple terms.
• Deliver results with clear README guidance for clients.

Skills

Python basics

Data curiosity

Team collaboration

Education

Student or recent graduate

Tools

Pandas

scikit-learn

PyTorch

FastAPI

Jupyter

Git & GitHub

Docker

Job description

INTERNECTUAL is offering a fully remote, project-based AI internship. You will join the Applied AI team and work on real client briefs to turn messy data into predictive models. You’ll own models from raw data to a working API and explain results to non-technical clients.

The role focuses on forecasting, risk flags, ranking and classification, with emphasis on reproducibility, evaluation metrics, and client-ready documentation.