Hybrid Data Analyst – LLM Automation, Scoring

at Freelance Latin America

• Job title: Data Analyst – LLM Automation, Scoring
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Airflow, Python
• Location requirements: Hybrid, Bogota, Colombia

About the role

• Data Analyst utilizing LLMs like ChatGPT for data analysis and workflow automation. Collaborating with teams to integrate AI insights into business processes.

Responsibilities

• Use LLMs (ChatGPT, Claude, etc.) to analyze, categorize, and score datasets across various use cases.
• Design and develop automated workflows to pipe data into LLM models and retrieve structured outputs.
• Work with APIs, data pipelines, and automation tools to streamline LLM processing.
• Build and maintain scalable processes for ongoing data ingestion, transformation, and evaluation.
• Validate and refine AI outputs to ensure accuracy, consistency, and reliability.
• Collaborate with cross-functional teams (Product, Engineering, Ops) to integrate AI-driven insights into business processes.
• Develop documentation, frameworks, and best practices for AI data analysis and scoring processes.
• Monitor model performance, troubleshoot issues, and propose improvements.

Requirements

• Proven experience working with LLMs (ChatGPT, Claude, Gemini, etc.) for data analysis or automation.
• Strong background in data manipulation, processing, and interpretation.
• Experience building automated workflows or pipelines (e.g., Python, APIs, Zapier, Airflow, or similar tools).
• Ability to structure prompts, evaluate outputs, and optimize model performance.
• Familiarity with structured and unstructured data formats (CSV, JSON, text, etc.).
• Strong analytical mindset, attention to detail, and problem-solving skills.
• Excellent written and verbal communication skills.

Benefits

• Professional development
• Health insurance
• Flexible work arrangements