Posted: Nov 12, 2024
Human Feedback-Driven Code Generation for Python
Total Budget: $42,500
Scale AIComputer Code ProgrammingPay Per Hour
Scale AIComputer Code ProgrammingPay Per HourOverview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
This project focuses on generating Reinforcement Learning with Human Feedback (RLHF) data to enhance code generation capabilities for Python development. The goal is to collect feedback from developers to improve the accuracy and quality of Python code outputs produced by large language models (LLMs). Participants will be asked to review, correct, and optimize auto-generated Python scripts, functions, and algorithms. The data collected will be used to train LLMs to better understand coding standards, efficient practices, and problem-solving strategies in Python, ultimately leading to higher-quality and more reliable code suggestions for real-world applications.
Total Budget: $42,500Pay Per HourEntry Level3-6 monthsAgency or Individual
Total Budget
$42,500
Pay per Label
$50/hr
Time Requirement
Flexible
Duration
3-6 months
Description of dataset
Leetcode-esque prompt and answers
Software
Scale AIHiring Type
Agency or Individual
Required Location
Global Any Location
Workload / Schedule
Work 15 hours weekly for 4-6 months, no time requirements.
Software
Scale AIData Type
Computer Code ProgrammingLabel Types
Computer Programming Coding
Subject Matter / Industry
Python code
Language
English
Job Type
Self Service
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