Help improve AI coding assistants by evaluating complex technical work, from large-codebase debugging to architectural changes and end-to-end features. This worldwide, part-time contractor role offers $80–$100 per hour and requires 20+ hours weekly.
Coding & Software
100% Remote Hourly · $80–$100/hr
$80–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 7, 2026
Posted
Open worldwide
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OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help people discover opportunities, build a professional AI-training profile, and grow their careers in a fast-expanding field where human expertise directly shapes how AI systems work.
About AI Coding Agent Evaluation
AI training is the human side of building artificial intelligence. In this role, you will assess coding assistants and provide structured feedback that helps improve how AI models reason about software engineering problems, technical workflows, and open-ended development tasks.
Remote work available worldwide
Part-time contractor opportunity
Work with cutting-edge AI coding technology
Help evaluate and improve AI-generated technical solutions
The Role
OpenTrain AI is seeking an AI Coding Agent Evaluation Expert to contribute detailed accounts of real-world technical workflows, structured evaluations, and written and verbal feedback. You will bring practical STEM experience to the assessment of how coding agents handle complex problems, including large codebases, advanced debugging, architectural changes, end-to-end feature work, and ambiguous requirements.
This role is listed as entry level, while requiring regular hands-on experience with AI coding agents and the ability to evaluate sophisticated technical work. It is designed for practitioners who use AI coding agents as a meaningful part of their technical toolkit.
Compensation: $80–$100 per hour
Time commitment: 20+ hours per week
Work arrangement: Part-time contract
Location: Worldwide
Primary language: English
What You'll Do
You will turn your experience using AI coding agents into clear, evidence-based guidance for model improvement. Your work will include written evaluations, verbal feedback, structured discussions, surveys, and knowledge-sharing sessions.
Describe the AI coding agents, tools, workflows, and technical challenges involved in your day-to-day work.
Explain step by step how AI agents support end-to-end feature development, complex project collaboration, and resolution of unclear requirements.
Evaluate agent performance on intricate technical problems, including large-codebase navigation, debugging, and architectural refactoring.
Identify the strengths and limitations of AI coding agents across varied real-world scenarios.
Provide concrete observations and data-driven suggestions for improving AI models and coding assistants.
Share your experience through structured discussions, surveys, and knowledge-sharing sessions.
Required Skills and Experience
Applicants should have current or extensive professional experience in a STEM-related field and regular hands-on experience using AI coding agents for sophisticated technical work beyond basic code completion. You must be able to explain complex technical workflows, decisions, challenges, and solutions clearly in writing and verbally.
Current or extensive experience as a STEM professional
Regular hands-on use of AI coding agents beyond basic code completion
Experience applying AI assistants to end-to-end feature development, advanced debugging, architectural refactoring, or comparable open-ended problems
Ability to assess, test, and explain the quality and limitations of AI-enabled technical solutions
Familiarity with popular AI coding tools and emerging practices in AI-assisted technical work
Ability to critically evaluate AI-generated technical work and communicate its strengths and limitations
Helpful Background
Experience communicating AI-enabled solutions to both technical and non-technical stakeholders is helpful. A track record of using coding agents across dynamic, real-world projects is also valuable.
Why Work in AI Training
People who contribute to AI training help shape how modern AI systems behave. Depending on the project, contributors may evaluate model outputs, write feedback, or assess technical solutions—all work that gives human experts a direct role in developing the next generation of AI tools.
Work remotely with a flexible part-time schedule
Apply your existing technical experience to emerging AI systems
Contribute to the development of advanced coding assistants
Build experience in a rapidly growing AI-training industry
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