Remote AI Engineer Intern — Build Production AI

Feedinkoo: Remote Jobs; United States; Remote; USD 22,000 - 45,000; Part time

Benefits offered by this job

Remote internship

Potential travel

Job summary

Datacor is seeking a remote AI internship for students pursuing a Master’s or PhD in computational data science or related fields. You’ll work with AI scientists and engineers to deliver innovative features, from ideation to production, in a fast, cross-functional team.

You will explore generative AI, build data pipelines, and communicate results to both technical and business audiences while contributing to scalable, production-ready solutions.

Qualifications

• Currently enrolled in a Master’s or PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.
• Strong NLP and LLM knowledge; experience with embeddings, GPT, Transformer models.
• Proactive learner with curiosity and product focus.
• Excellent communication and presentation skills.
• Proficient in Python and C++/Java.

Responsibilities

• Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications.
• Lead MVP development using a test-and-learn approach with cross-functional teams.
• Iterate from problem framing to prototyping and deploying production‑grade solutions.
• Deliver reliable, scalable AI features in production.
• Build prototypes and develop data pipelines for deployment.
• Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
• Clearly communicate efforts and impact to both technical and business audiences.

Skills

LLMs expertise

NLP knowledge

Python

C++/Java

Independent work

Team collaboration

Communication

Education

Master's or PhD in Computational Data Science / CS / EE

Tools

AWS/Google Cloud

TensorFlow/PyTorch

Job description

Datacor is seeking a remote AI internship for students pursuing a Master’s or PhD in computational data science or related fields. You’ll work with AI scientists and engineers to deliver innovative features, from ideation to production, in a fast, cross-functional team.

You will explore generative AI, build data pipelines, and communicate results to both technical and business audiences while contributing to scalable, production-ready solutions.