Remote Software Engineering & Systems Design Expert - AI Trainer ($45-$80 per hour)Mercor • Buckeye, Arizona, US

Remote Software Engineering & Systems Design Expert - AI Trainer ($45-$80 per hour)

Mercor • Buckeye, Arizona, US

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Location :

N / A

Type

: Full-time or Part-time Contract Work

Fluent Language Skills Required :

English

Why This Role Exists

Mercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions. In coding and software engineering contexts, conversational AI systems must demonstrate correct reasoning, strong problem-solving ability, and adherence to real-world engineering best practices. This project focuses on evaluating and improving how models reason about code, generate solutions, and explain technical concepts across a variety of programming tasks and complexity levels.

What You’ll Do

Evaluate LLM-generated responses

to coding and software engineering queries for accuracy, reasoning, clarity, and completeness -

Conduct fact-checking

using trusted public sources and authoritative references - Conduct accuracy testing by

executing code and validating outputs using appropriate tools

Annotate model responses

by identifying strengths, areas of improvement, and factual or conceptual inaccuracies - Assess code quality, readability, algorithmic soundness, and explanation quality - Ensure

model responses align with expected conversational behavior

and system guidelines -

Apply consistent evaluation standards

by following clear taxonomies, benchmarks, and detailed evaluation guidelines

Who You Are

You hold a

BS, MS, or PhD in Computer Science or a closely related field

You have

significant real-world experience in software engineering

or related technical roles - You are an expert in at

least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)

You are able to solve

HackerRank or LeetCode Medium and Hard–level problems independently

You have experience contributing to well-known open-source projects, including merged pull requests - You have

significant experience using LLMs while coding

and understand their strengths and failure modes -

You have strong attention to detail

and are

comfortable evaluating complex technical reasoning

, identifying subtle bugs or logical flaws

Nice-to-Have Specialties

Prior experience with RLHF, model evaluation, or data annotation work - Track record in competitive programming - Experience reviewing code in production environments - Familiarity with multiple programming paradigms or ecosystems - Experience explaining complex technical concepts to non-expert audiences

What Success Looks Like

You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions - Your feedback improves the correctness, robustness, and clarity of AI coding outputs - You deliver reproducible evaluation artifacts that strengthen model performance - Mercor customers trust AI systems to assist reliably with real-world coding tasks

Why Join Mercor

At Mercor, experienced software engineers play a direct role in shaping how AI systems reason about and generate code. This flexible, remote role allows you to apply your technical expertise to high-impact AI development work, improving systems used by developers around the world.

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