Research Engineer – Code Generation & Model Evaluation

Position: Research Engineer – Code Generation & Model Evaluation

Type: Contractor

Compensation: $50–$100/hour

Location: Remote

About the Opportunity micro1 is engaging experienced Research Engineers to contribute to a customer project focused on code generation, software engineering, and AI model evaluation. You will apply your programming and technical problem-solving expertise to help train next-generation AI systems using high-quality, real-world coding input.

The work involves analyzing and debugging diverse codebases, implementing software features, improving code performance, developing realistic coding tasks, and evaluating AI-generated solutions. No prior AI experience is required—your software engineering expertise, algorithmic knowledge, and ability to evaluate technical solutions are what matter.

Responsibilities

- Analyze, debug, and resolve complex issues across codebases written in Python 3, Java, Rust, C++, Go, and TypeScript.
- Design, implement, and refine new features and enhancements for code-generation workflows.
- Refactor existing codebases to improve performance, maintainability, scalability, and adaptability.
- Optimize software implementations using appropriate algorithms and data structures.
- Develop realistic coding tasks designed to evaluate AI model performance and accuracy.
- Review AI-generated code and assess correctness, completeness, efficiency, and consistency.
- Author explicit, actionable feedback and annotations to support model training and technical assessment.
- Identify bugs, incorrect assumptions, inefficient implementations, and edge-case failures.
- Collaborate with open-source contributors and technical stakeholders to establish technical direction and maintain robust outputs.
- Document technical decisions, best practices, implementation approaches, and solutions.
- Maintain high standards of code quality, validation, and output consistency.

Required Qualifications

- Strong expertise in competitive programming and coding problem analysis.
- Expertise in at least one of Python 3,



Java, Rust, C++, Go, or TypeScript.
- Solid understanding of algorithms and data structures.
- Proven track record of open-source contributions or participation in collaborative software projects.
- Strong analytical ability to interpret complex problem constraints and evaluate multiple solution pathways.
- Experience debugging, validating, and optimizing software implementations.
- Exceptional written and verbal communication skills with the ability to articulate technical concepts clearly.
- Meticulous attention to detail when reviewing code and evaluating technical outputs.
- Ability to work independently in a remote and collaborative environment.
- Commitment to producing high-quality, well-documented code under tight project deadlines.

Preferred Qualifications

- Extensive experience solving complex algorithmic and competitive-programming problems.
- Experience working across multiple programming languages and software ecosystems.
- Strong background in open-source software development and collaborative engineering workflows.
- Experience with code generation, automated code evaluation, or software benchmarking.
- Experience designing coding challenges, technical assessments, or software-engineering evaluation tasks.
- Experience reviewing AI-generated code or technical solutions.
- Strong understanding of performance optimization, code refactoring, and maintainable software architecture.
- Experience producing structured technical feedback, annotations, or evaluation criteria.
- Ability to identify subtle correctness issues, edge cases, and alternative solution approaches.

Key Areas of Expertise

- Code Generation
- AI Model Evaluation
- Research Engineering




- Software Engineering
- Python 3
- Java
- Rust
- C++
- Go
- TypeScript
- Algorithms & Data Structures
- Competitive Programming
- Bug Fixing
- Feature Implementation
- Codebase Refactoring
- Performance Optimization
- Code Validation
- Open Source Development
- Technical Problem-Solving
- Software Evaluation
- Technical Documentation

Compensation

- $50–$100 per hour
- Contractor engagement
- Fully remote
- Compensation is output-based, with experts paid per task that meets project specifications.
- Task completion time may vary depending on the expert’s experience and workflow.
- Minimum submission requirements apply, including a minimum number of tasks per week.

Eligibility

- Candidates must have strong software engineering and algorithmic problem-solving expertise.
- Proficiency in at least one of the specified programming languages is required.
- Strong knowledge of algorithms and data structures is required.
- Experience with open-source or collaborative software projects is required.
- Candidates must be comfortable analyzing unfamiliar codebases and solving complex programming problems.
- Strong written communication and technical documentation skills are required.
- Candidates should be able to work independently in a remote environment and meet project deadlines.
- Selected experts should be ready to begin promptly following onboarding.

Application Process

1. Submit your application highlighting your software engineering and research experience.
2. Detail your programming expertise across Python 3, Java, Rust, C++, Go, or TypeScript.
3. Highlight relevant experience with algorithms, competitive programming, open-source contributions, and complex coding problems.
4. Provide examples of software development, debugging, optimization, or code evaluation experience.
5. Selected candidates will be evaluated based on their technical expertise, analytical ability, communication skills, and project fit.
6. If selected, complete onboarding and begin your first tasks within 24–48 hours.

📌 AI Research Scientist (Remote | ) (Canada)
🏢 Synthires
📍 Canada