AI Intern

Key Responsibilities

• AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
• Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
• Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
• Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
• Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.

Required Technical Skills

• Basic scripting or programming proficiency (Python, JavaScript, Go).
• AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
• Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.

Soft Skills

• Strong problem-solving, attention to detail, proactive "builder" mindset, and the ability to collaborate with cross-functional teams.

Education

Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field. Prior experience with AI projects (personal, academic, or Kaggle competitions).

Pay

$40 - $60/hr. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.