Data Science & AI Intern (Remote US) – $62K–$120K | Apply Now

📍 Location: us

🏷 Type: Not specified

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Job Overview

This is a entry-level AI/ML internship focused on data science, machine learning, and LLM-based systems within a modern cloud environment. The role blends predictive modeling, analytics pipelines, and AI agent development using AWS-native tools. Ideal candidates are early-career engineers or students with strong foundations in Python, statistics, and machine learning, and an interest in deploying real-world AI systems. You will work cross-functionally to deliver production-ready insights and scalable ML solutions.

🌍 Work Eligibility & Location

This opportunity is structured as a remote-first internship, offering flexibility but with a likely preference for candidates based in or aligned with US timezones. There is no explicit mention of visa sponsorship, which suggests international applicants may face constraints. However, for candidates already eligible to work remotely in the US, this role provides strong accessibility and exposure to real-world AI systems.

💰 Salary Intelligence

The estimated compensation range of $62K–$120K is highly competitive for an entry-level AI internship. This suggests the company values technical contribution beyond typical intern-level tasks. Compared to standard internships, this sits at the upper percentile, especially for roles involving LLMs, AWS infrastructure, and predictive modeling.

📊 Role Breakdown

This role is divided across three major functional areas. Approximately 35% of your time will focus on data engineering, including building ETL pipelines using AWS Glue, Athena, and SQL. Another 40% centers on machine learning and predictive modeling, where you will develop forecasting models, customer attrition models, and anomaly detection systems using Python, Scikit-learn, TensorFlow, and PyTorch. The remaining 25% is dedicated to AI agent development, leveraging AWS Bedrock, Langchain, and LLM frameworks to design, optimize, and evaluate intelligent agents. You will also engage in exploratory data analysis, build interactive dashboards with tools like Plotly and Matplotlib, and contribute to improving model reliability and hallucination reduction. This hybrid scope makes the role technically dense but highly valuable for early-career growth.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

Although classified as an entry-level role, the breadth of required skills increases its difficulty. Candidates are expected to understand both data engineering and machine learning systems, along with emerging LLM tooling. With remote access and strong compensation, global competition will be intense. Applicants with hands-on project experience will have a clear advantage.

🚀 Career Impact

This role offers strong career acceleration by combining cloud engineering, machine learning, and generative AI. Interns gain hands-on experience with production-grade tools like AWS Bedrock and SageMaker, positioning them for high-demand roles. The exposure to end-to-end AI system development significantly boosts long-term employability in the AI job market.

📋 Key Responsibilities

You will build and optimize ETL pipelines using AWS Glue and SQL, and develop machine learning models for forecasting, classification, and anomaly detection. A critical part of the role involves designing and deploying AI agents with AWS Bedrock and Langchain, including schema design and performance tuning. You will also conduct exploratory data analysis, create visual dashboards using Plotly and Matplotlib, and collaborate with engineering teams to integrate ML outputs into production systems. Additional tasks include model documentation, validation testing, and improving LLM reliability by reducing hallucination rates.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role was posted recently, indicating high urgency in hiring. Given the attractive compensation and remote flexibility, expect strong global competition. Early applicants with demonstrable project-based experience in ML or AI systems will have a clear advantage in shortlisting.

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✅ Job Source & Verification

This job listing was sourced from a reputable AI job aggregation platform, ensuring high source credibility. The posting was last updated within the past 2 days, indicating that the opportunity is still active. However, candidates should verify details directly on the employer site before applying to ensure accuracy and availability.