Research Engineer - Remote in Chennai, India - Jobeax
Vacancy description
Research Engineer - Remote in Chennai, भारत
YO AI Labs
RemoteWork from anywhere
ContractFixed-term or freelance
Chennai, भारत
Research Engineer – Code Generation & Model Evaluation
Role Type: Contractor Location: Remote
We are seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation.
You'll apply your programming expertise to develop, review, and evaluate real-world coding tasks that help train and improve next-generation AI systems. No prior AI experience is required.
Scope of Work
Analyze, debug, and resolve issues across codebases using Python 3, Java, Rust, C++, Go, or TypeScript.
Implement new features and enhancements for code generation workflows.
Refactor and optimize code for performance, scalability, and maintainability.
Develop and review coding tasks to evaluate AI-generated code.
Provide clear feedback and annotations to support model training and evaluation.
Collaborate with technical contributors and stakeholders on software quality and technical direction.
Document technical decisions, solutions, and best practices.
Required Skills & Qualifications
Strong expertise in competitive programming, algorithms, and data structures.
Proficiency in at least one of Python 3, Java, Rust, C++, Go, or TypeScript .
Experience with debugging, feature implementation, codebase refactoring, and performance optimization.
Experience with open-source contributions or collaborative software projects.
Strong analytical and problem-solving abilities.
Excellent written and verbal communication skills.
High attention to detail in code validation and output consistency.
Ability to work independently in a remote environment.
Compensation
Compensation is output-based , with payment provided per task that meets project requirements. Task completion time may vary based on experience and workflow. Minimum weekly submission requirements apply.
Start Timeline & Availability
Roles are typically filled within 48 hours . Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding.
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