AI Trainer - Coding
- Canada
Contract
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Job details
- Job type
- Contract
- Experience
- 2+ years of professional software engineering experience
- Posting language
- English
- Posted
Original job description
Summary
Use your real-world software engineering experience to assess AI-generated code, design realistic engineering challenges, review solutions, and help improve how AI handles production-level development work.
Responsibilities:
- Review and evaluate AI-generated code, bug fixes, refactors, and technical solutions
- Create realistic software engineering tasks based on real-world development scenarios
- Compare AI-generated outputs and identify strengths, weaknesses, and edge cases
- Develop test cases, evaluation rubrics, and quality standards
- Provide detailed feedback on code quality, correctness, and maintainability
Requirements:
- 2+ years of professional software engineering experience
- Bachelor's degree in Computer Science or a related field
- Strong experience with at least one common language: (Python, JavaScript / TypeScript, Java, Go, C#, C++, Rust, Ruby, PHP, Swift, Kotlin)
- Experience working with Git, testing frameworks, and debugging tools
- Strong written communication skills
- Ability to work independently in a remote environment
Preferred Backgrounds:
- Experience with Docker, CI/CD, or cloud-based development
- Frontend, backend, mobile, or full-stack development backgrounds
- Experience using AI tools such as ChatGPT or Claude
ABOUT PLANET PHARMA
Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its headquarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.
Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.
We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.
www.planet-pharma.com
TO APPLY
Please click ‘apply’ or contact Ann Salvador. (Recruitment Sourcer) at Planet Pharma for more information:
E: ASalvador@planet-pharma.com
Linkedin: www.linkedin.com/in/ann-salvador/
More about this job
Responsibilities
Evaluate AI-generated code, bug fixes, refactors, and technical solutions, and create realistic software engineering challenges based on real-world development scenarios. Compare AI outputs, identify strengths and edge cases, develop tests and evaluation standards, and provide detailed feedback on code quality, correctness, and maintainability.
Requirements
Requires at least two years of professional software engineering experience, a bachelor's degree in Computer Science or a related field, and strong experience with at least one commonly used programming language. Candidates should also have experience with Git, testing frameworks, and debugging tools, along with strong written communication and the ability to work independently in a remote environment.
Skills
- Software Engineering
- Code Review
- Code Evaluation
- Python
- JavaScript
- TypeScript
- Java
- Go
- C#
- C++
- Rust
- Ruby
- PHP
- Swift
- Kotlin
- Git
Visa sponsorship
Not detected in the job text
Hiring contact
Ann Salvador
Hiring contact email
ASalvador@planet-pharma.com
Categories
- Software
- Technology
- Engineering
Keywords
- Artificial Intelligence
- AI-Generated Code
- Software Engineering
- Code Review
- Code Evaluation
- Bug Fixes
- Refactoring
- Technical Solutions
- Python
- JavaScript
- TypeScript
- Java
- Go
- C#
- C++
- Rust
- Ruby
- PHP
- Swift
- Kotlin
- Git
- Testing Frameworks
- Debugging Tools
- Test Cases
- Evaluation Rubrics
- Code Quality
- Maintainability
- Docker
- CI/CD
- Cloud-Based Development