ML Engineer

Great Value Hiring; United States; On-site; USD 55,104 - 82,656; Part time

Job summary

Great Value Hiring is seeking an ML Engineer to evaluate and improve frontier AI coding models. The role involves using AI coding agents for complex ML tasks, reviewing implementations, and assessing model performance.

The ideal candidate has over 2 years of machine learning engineering experience and is familiar with tools like Cursor and Claude Code. Compensation is competitive, with $400 per accepted task and a flexible project commitment.

Qualifications

• 2+ years of professional machine learning engineering experience.
• Experience building production ML systems and AI-powered products.
• Ability to evaluate model-generated implementations.

Responsibilities

• Complete and evaluate machine learning engineering tasks using AI coding agents.
• Review implementations involving model training and inference systems.
• Identify bugs and performance issues in model outputs.

Skills

Machine learning engineering experience

Experience with AI coding agents

Model evaluation skills

Production ML systems deployment

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

ML Engineer (Coding Agent Experience) [$85/hr]

Contributors help evaluate and improve frontier AI coding models through structured technical assessments. The work focuses on realistic machine learning engineering workflows and model evaluation. Spots are limited and filling quickly on a first come, first serve basis.

Role Responsibilities

• Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks
• Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications
• Identify bugs, edge cases, performance issues, and failure modes
• Compare outputs from multiple frontier models and assess their strengths and weaknesses
• Apply professional engineering judgment to realistic ML engineering scenarios

Time Commitment

• Sprint based project that runs in 12-24 hour stretches based on client requirement

Good Candidature

• 2+ years of professional machine learning engineering experience
• Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs
• Experience deploying ML systems to production is preferred
• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request

Compensation

• $400 per accepted task
• Typical tasks take approximately 2-3 hours after ramp-up
• Compensation is tied to accepted work