Math-Driven Research Analyst for AI Model Tuning

Hire Feed

Indonesia

On-site

IDR 100,440,000 - 167,400,000

Full time

38 hours ago
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Job summary

Hire Feed seeks a Research Analyst - Advanced Math to support fine-tuning of large language models. You will read, summarize, and break down complex content, and conduct online research to validate claims for model training.

Strong math reasoning and English comprehension are essential for this full-time role. You will also analyze data distributions by location and assist in developing scenarios that improve model accuracy and reasoning.

Qualifications

  • Strong analytical skills with a focus on mathematical reasoning and problem-solving.
  • Proficiency in English, including reading, writing, and comprehension, to break down and summarize content.
  • Ability to conduct online research to validate claims and gather relevant information.
  • Capacity to work with large language models to improve their accuracy and reasoning capabilities.

Responsibilities

  • Answer analytical questions and create scenarios that train large language models.
  • Analyze distributions of sales by month across locations to identify growth leaders and justify reasoning.
  • Solve logical puzzles using mathematical reasoning to train models on correct approaches.
  • Break down complex content into smaller blocks to assist model fine-tuning.
  • Validate claims in content through online research to ensure accuracy.

Skills

Analytical thinking
English proficiency
Online research
Large language models
Critical math thinking

Education

High school mathematics knowledge

Job description

Hire Feed seeks a Research Analyst - Advanced Math to support fine-tuning of large language models. You will read, summarize, and break down complex content, and conduct online research to validate claims for model training.

Strong math reasoning and English comprehension are essential for this full-time role. You will also analyze data distributions by location and assist in developing scenarios that improve model accuracy and reasoning.

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