Software Engineer (AI Training)

Alignerr Corp.

Cancún

Remote

MXN 496,000 - 1,116,000

Part time

21 hours ago
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Benefits offered by this job

Fully remote

Job summary

Alignerr Corp. in Cancún is seeking Software Engineers for a fully remote, hourly contract role. You will build, evaluate, and improve AI-generated code to help train AI systems to think like developers, with flexible scheduling of 10–40 hours per week.

Proficiency in Python, JavaScript, Java, C++, Go, or TypeScript is expected, along with solid data structures knowledge and clear reasoning. Remote work, diverse projects, and independent work style are offered.

Qualifications

  • Proficient in one or more programming languages listed.
  • Strong understanding of data structures and algorithms.
  • Ability to read, write, and reason about code clearly.

Responsibilities

  • Write, debug, and optimize code across languages and frameworks.
  • Review AI-generated code for correctness and efficiency.
  • Identify bugs, security issues, and performance bottlenecks in AI outputs.
  • Provide structured feedback explaining why code works or not.
  • Design coding prompts and edge-case scenarios to stress-test AI capabilities.
  • Rank AI-generated solutions by engineering quality.
  • Work independently and asynchronously on your schedule.

Skills

Python
JavaScript
Java
C++
Go
TypeScript

Education

Bachelor's degree in Computer Science or related field

Job description

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
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