Software Engineer (AI Training)
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Key skills for this role
Role Overview
Alignerr is seeking Software Engineers to help train AI systems to understand and generate software.
The role involves building, evaluating, and improving AI-generated code through hands-on engineering work.
The position is fully remote and flexible, with work available for 10–40 hours per week.
Key Skills for This Role
Full Job Posting
Role Overview
Alignerr is seeking Software Engineers to help train AI systems to understand and generate software.
The role involves building, evaluating, and improving AI-generated code through hands-on engineering work.
The position is fully remote and flexible, with work available for 10–40 hours per week.
Engagement Details
- The engagement is an hourly contract role.
- The expected commitment is 10–40 hours per week.
What You'll Do
- Write, debug, and optimize code across a range of 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 does not work.
- Design coding prompts and edge-case scenarios to stress-test AI capabilities.
- Compare and rank AI-generated solutions based on engineering quality.
- Work independently and asynchronously on your own schedule.
Who You Are
- Proficiency in one or more programming languages, such as Python, JavaScript, Java, C++, Go, TypeScript, or similar.
- Solid understanding of data structures, algorithms, and software design principles.
- Ability to read, write, and reason about code clearly and precisely.
- Strong problem-solving instincts and a systematic debugging approach.
- Clear written communication and ability to 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 technology stacks, including full-stack, backend, systems, or data engineering.
- Familiarity with AI or machine learning concepts, large language models, 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 demonstrating software engineering ability.
- An advanced degree in Computer Science or a related discipline.
Work Arrangement
- The role is fully remote and flexible.
- Work can be performed from anywhere on a self-managed schedule.
Work Context
The work supports AI projects alongside leading research labs.
The role directly influences how AI writes, understands, and reasons about code.
The engagement may provide ongoing work and contract extensions as new projects launch.
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