Job Description
Location: Fully Remote
Duration: 1 month
Commitment: 15–20 hours/week (Flexible)
Compensation: $90/hr + performance bonuses (median $200/hr)
Contract Type: Independent contractor, paid daily via Stripe Connect
Project Overview
We are seeking an experienced React.js Frontend Developer to contribute to high-impact research collaborations with leading AI labs. This short-term, part-time freelance role focuses on improving AI systems by developing and validating real-world coding benchmarks across diverse languages and domains.
You’ll work on tasks that reflect practical development scenarios, ensuring quality, reproducibility, and technical rigor.
Key Responsibilities
- Develop, test, and validate coding benchmarks using React, TypeScript, or JavaScript.
- Curate issues, solutions, and test suites from real-world repositories for benchmark tasks.
- Write comprehensive unit and integration tests for solution verification.
- Maintain consistency, scalability, and reproducibility of benchmark tasks.
- Debug, optimize, and document benchmark code for reliability.
- Provide structured feedback on solution quality, clarity, and maintainability.
Ideal Candidate Qualifications
- Experience: 3–10 years as a frontend engineer.
- Technical Skills: Strong proficiency in React, TypeScript, and JavaScript.
- Education: Degree in Software Engineering, Computer Science, or related field.
- Additional Skills:
- Debugging, testing, and code validation.
- Comfortable with technical documentation and structured feedback.
- Attention to detail and ability to work asynchronously.
Application & Onboarding Process
- Resume Upload: Submit your latest resume/CV.
- AI Interview: 15-minute conversational session to assess background, experience, and fit.
- Assessment: Short coding challenge to test real-world problem-solving and debugging skills.
- Follow-Up: Receive next steps and onboarding details within a few days.
Why This Role Is Unique
- High Pay & Flexible Hours: Earn daily with lucrative bonuses while working remotely.
- Impactful Work: Contribute directly to AI research and next-generation intelligent systems.
- Real-World Challenges: Work on coding benchmarks reflecting practical, large-scale engineering problems.
- Learning Opportunity: Collaborate with leading AI labs and experienced engineers.