Software Engineer (AI Training)

Alignerr Corp.; Cancún; À distance; MXN 763 000 - 1 526 000; Temps partiel

Résumé du poste

Alignerr Corp. is seeking Software Engineers for a fully remote hourly contract in Cancún. You will write, evaluate, and improve AI-generated code across Python, JavaScript, Java, C++, Go, and TypeScript, ensuring correctness, efficiency, and readability.

You will design prompts to stress-test AI capabilities, provide clear feedback, and independently manage your schedule while contributing to cutting-edge AI research in software engineering.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Strong understanding of data structures, algorithms, and software design principles.
• Ability to read, write, and reason about code with clarity and precision.

Responsabilités

• Write, debug, and optimize code across a range of languages, frameworks, and problem domains.
• Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices.
• Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs.
• Provide structured, detailed feedback explaining why code works — or doesn't.
• Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities.
• Compare and rank multiple AI-generated solutions based on engineering quality.

Connaissances

Python

JavaScript

Java

C++

Go

TypeScript

Problem-solving

Clear communication

Formation

Bachelor's degree in Computer Science

Description du poste

About The Role

What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cancún to build, evaluate, and improve AI-generated code — helping train AI systems to think like real developers.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.

What You'll Do

• Write, debug, and optimize code across a range of languages, frameworks, and problem domains
• Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
• Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
• Provide structured, detailed feedback explaining why code works — or doesn't
• Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
• Compare and rank multiple AI-generated solutions based on engineering quality
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
• Solid understanding of data structures, algorithms, and software design principles
• Able to read, write, and reason about code with clarity and precision
• Strong problem-solving instincts and a systematic debugging approach
• Clear written communicator — you can explain technical decisions in plain language
• Self-motivated and reliable when working independently without supervision
• Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience

Nice to Have

• Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
• Familiarity with AI/ML concepts, LLMs, or prompt engineering
• Background in code review, technical writing, or mentoring junior developers
• Experience with cloud platforms, DevOps, or distributed systems
• Competitive programming, open-source contributions, or side projects that demonstrate your craft
• Advanced degree in Computer Science or related discipline

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance autonomy with intellectually stimulating, high-impact work
• Directly influence how AI writes, understands, and reasons about code
• Sharpen your own engineering skills by evaluating diverse problems daily
• Potential for ongoing work and contract extension as new projects launch