Simera · 2 weeks ago
Data Analyst – LLM Automation & Scoring (Remote)
Simera is seeking a Data Analyst with hands-on experience using Large Language Models (LLMs) such as ChatGPT to analyze and score data. The role focuses on building automated workflows for data processing and integrating AI-driven insights into business decision-making.
Artificial Intelligence (AI)Human ResourcesRecruitingService IndustryStaffing AgencyTraining
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
Qualification
Required
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
Experience with NLP applications or AI-driven analytics
Background in analytics, data engineering, or automation projects
Knowledge of SQL, Python, or other scripting languages
Experience integrating AI solutions into business systems or platforms