Software Engineer (AI Training)

About the role

Join Alignerr as a Software Engineer focused on AI training. You will write, debug, and optimize code while evaluating AI‑generated solutions, helping to make coding assistants smarter and more reliable. This is a fully remote, flexible contract position that blends hands‑on engineering with cutting‑edge AI research.

Key responsibilities

• Write, debug, and optimize code across multiple languages, frameworks, and problem domains.
• Review 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, setting your own schedule.

Required profile

• Proficient in at least one major programming language (e.g., Python, JavaScript, Java, C++, Go, TypeScript).
• Strong understanding of data structures, algorithms, and software design principles.
• Ability to read, write, and reason about code with clarity and precision.
• Systematic debugging approach and strong problem‑solving instincts.
• Clear written communication skills for explaining technical decisions.
• Self‑motivated and reliable when working independently without supervision.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.

Required skills

• Python
• JavaScript
• Java
• C++
• Go
• TypeScript
• Data structures
• Algorithms
• Software design principles
• Code review
• Debugging
• Cloud platforms (e.g., AWS, GCP, Azure)
• DevOps practices
• Distributed systems concepts

What we offer

• Work on cutting‑edge AI projects alongside leading research labs.
• Fully remote and flexible schedule – work from anywhere.
• Freelance autonomy with high‑impact, intellectually stimulating tasks.
• Direct influence on how AI writes, understands, and reasons about code.
• Opportunities to sharpen your engineering skills by evaluating diverse problems daily.
• Potential for ongoing work and contract extensions as new projects launch.