Python Engineer for AI Training Content Remote Contract
Listing checked September 4, 2026 · pay as published by SME Careers
Overview
Remote, hourly contract role centered on Python engineering for AI training content. Review AI-generated Python solutions and technical explanations, evaluating correctness, performance, and architectural soundness. Produce high-quality reference content and step-by-step explanations that demonstrate strong software engineering practices. Rate multiple AI responses for reasoning quality and implementation soundness to guide model improvements.
What You'll Do6
- 1Review AI-generated Python solutions and explanations for correctness, readability, and performance.
- 2Produce high-quality reference content with annotated Python code illustrating best practices.
- 3Rate AI responses and compare multiple outputs based on reasoning quality and implementation soundness.
- 4Identify logic errors, architectural flaws, or methodological gaps, and propose concrete fixes.
- 5Fact-check technical details and ensure alignment with prompts.
- 6Create clear, step-by-step explanations and exemplar solutions to serve as training material.
Requirements10
- 1bachelor’s degree or higher in computer science, software engineering, mathematics, or a closely related technical field.
- 27+ years of professional software engineering experience with substantial hands-on Python production work.
- 3Deep knowledge of Python language features, standard library, and ecosystems such as web frameworks, data tooling, or backend services.
- 4Strong understanding of algorithms, data structures, system design, and performance optimization in Python applications.
- 5Proven experience designing, reviewing, and improving high-quality Python codebases, including mentoring and code reviews.
- 6minimum c1 English proficiency (written and spoken), with ability to write clear technical explanations and follow detailed English-language guidelines.
- 7Comfort with modern tooling such as version control, CI/CD pipelines, testing frameworks, and containerization technologies.
- 8Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
- 9Highly detail-oriented with a structured, methodical approach to evaluating reasoning quality and identifying subtle errors.
- 10minimum c1 Chinese proficiency (written and spoken)
Who Should Apply
Ideal candidates bring 7+ years of Python production experience and can translate complex AI prompts into reliable code and clear explanations. You thrive in a fully remote, hourly contractor setting and can deliver well‑documented Python references alongside thoughtful feedback. This role suits engineers who enjoy reviewing AI outputs, spotting edge cases, and producing training materials that others can follow. It is less suitable for applicants with limited production Python experience, or those who lack strong English or Chinese communication skills. If you have no background in AI data training or code review mentoring, your fit will be lower for this position.
Salary Insight
$60/hr (hourly contractor). This rate aligns with senior Python engineering work on AI data training content in remote, contract-based engagements.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $60/hr
Most AI Training roles pay $40–$98 per hour. This role's pay falls inside that range.
Based on 1,063 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,227
- Listed in last 30 days
- 470
- Remote
- 98%
Hiring most right now: micro1 (360) · SME Careers (254) · Mercor (145)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai evaluation11%
- data annotation9%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
Up to $60/hr
Required Skills
Application Tip
Include a concise, annotated Python example and a short, focused explanation showing how you would evaluate an AI-generated function for correctness and efficiency to demonstrate your ability to produce clear technical explanations.
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