Horizon Labs – AI Operations Intern

Job Description

We are seeking an AI Operations Intern to help operationalize AI-enabled workflows across research, execution, and internal process support. This role sits at the intersection of tooling, process, and business operations, with a focus on making work faster, more reliable, and easier to scale.

Preferred Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Information Systems, Data Science, Business, or a related field ideally from leading universities such as NUS, NTU, or SMU, while still considering strong candidates from other institutions.
• Strong academic performance, ideally distinction or above, alongside evidence of initiative, ownership, and high-quality execution.
• Basic understanding of AI/ML workflows, including data preprocessing, model training, and deployment — or a strong willingness to learn.
• Familiarity with tools such as Python, SQL, or Jupyter Notebooks.
• Comfortable working with APIs, cloud platforms (AWS, GCP, or Azure), and automation tools.
• Strong organizational and analytical skills with attention to detail.
• Ability to document processes, track experiments, and manage version control (e.g., Git).
• Comfortable using AI tools beyond simple chat workflows to accelerate analysis, drafting, research, and execution.
• High attention to detail and discipline in checking facts, requirements, and deliverables before sharing work.
• Able to thrive in a fast-moving startup environment with ambiguity, rapid iteration, and cross-functional collaboration.
• Strong process thinking and a habit of documenting workflows clearly.

Key Responsibilities

• Map existing workflows and identify opportunities to improve them with AI, automation, and better process design.
• Support prompt workflows, agent handoffs, documentation, and structured operating procedures.
• Test AI tools and orchestration methods to improve reliability, transparency, and repeatability.
• Coordinate with cross-functional teams to capture requirements and implement workflow improvements.
• Produce clear documentation and summaries so processes can be reused by a growing team.

Why Apply

This role offers hands-on exposure to how AI actually gets operationalized inside a business — not just in theory, but through systems, playbooks, and team workflows that scale.