Data Analyst – LLM Automation & Scoring (Remote)

United States·San FranciscoRemotemid

Data AnalystData

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Quick Summary

Overview

We are seeking a Data Analyst with hands-on experience using Large Language Models (LLMs) such as ChatGPT, Claude, or similar AI tools to analyze, evaluate, and score data at scale.

Key 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.

Requirements Summary

Proven experience working with LLMs (ChatGPT, Claude, Gemini, etc.) for data analysis or automation. Strong background in data manipulation, processing, and interpretation.

Technical Tools

airflowanthropicchatgptpythonsqldata-analysisetl

We are seeking a Data Analyst with hands-on experience using Large Language Models (LLMs) such as ChatGPT, Claude, or similar AI tools to analyze, evaluate, and score data at scale. This role focuses on building automated workflows that feed structured and unstructured data into LLMs, interpret outputs, and convert insights into actionable results for business decision-making.

Key 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.

Required Qualifications

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.

Preferred Qualifications