AI Code Reviewer (Engineering)

TL;DR

AI Code Reviewer (Engineering): Reviewing and correcting AI-generated code across systems, algorithms, security, backend, and frontend domains with an accent on identifying bugs, inefficiencies, and design flaws. Focus on evaluating concurrent data structures, algorithmic complexity, security vulnerabilities, API design, and performance optimizations to improve next-generation coding models.

Location: Remote, work from anywhere on your schedule

Salary: Starting at $60/hour, scales with task complexity and performance

Company

Platform connecting expert engineers to annotate high-quality data for advancing AI code generation models, with $150M+ paid to contributors.

What you will do

• Craft precise engineering prompts to test model reasoning on complex problems like algorithms, systems design, and security.
• Review AI-generated code for correctness, catching race conditions, off-by-one errors, suboptimal complexity, and security flaws.
• Write production-quality correct implementations as training data for future models.
• Evaluate outputs in domains like distributed systems, networking, OS, graph theory, crypto, APIs, databases, React performance, and accessibility.
• Work flexibly 10–50+ hours/week, choosing tasks that match your expertise in systems programming, web backends, ML pipelines, mobile, or infra.

Requirements

• Strong engineering background: CS students (upper-division/grad), software engineers (2+ years production experience), staff/principal engineers, or open-source contributors.
• Expertise in algorithms, data structures, systems, security, backend/frontend, or related areas.
• Ability to identify bugs, reason about complexity, write clean idiomatic code (assessed via ~60 min engineering test).
• Pass short assessment on correctness bugs, complexity analysis, and code quality; no résumé needed.

Culture & Benefits

• Flexible scheduling: no standups, sprints, or on-call; tasks available 24/7, work as much or little as desired.
• Premium compensation competitive with senior contract rates, paid per-task weekly.
• Direct impact on AI model training with research-grade standards and production-level rigor.
• Ideal for those alongside primary roles, open-source, or coursework; focus on output quality over hours.

Hiring process

• Complete ~60 min engineering assessment to qualify based on bug identification, complexity reasoning, and code writing.
• Get matched to projects in your preferred stack (systems, web, ML, etc.).
• Start working on tasks with clear specs/test cases; get paid weekly per-task.