AI Summary
Join a unique opportunity to apply your frontend engineering expertise toward shaping the next generation of intelligent systems. Develop and validate coding benchmarks in React, TypeScript, or JavaScript. Collaborate with leading AI labs on high-impact research projects.
Key Highlights
Develop and validate coding benchmarks in React, TypeScript, or JavaScript
Curate issues, solutions, and test suites from real-world repositories
Maintain consistency and scalability of benchmark task distribution
Technical Skills Required
Benefits & Perks
Competitive hourly rate of $200
Flexible working hours
Remote work
Job Description
Project Timeline
- Start Date: Immediate
- Duration: 1 month
- Commitment: Part-time (15–20 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours
- $90 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete)
- Median average pay inclusive of bonuses, is $200/hr
- Independent contractor
- Daily payment via Stripe Connect
- Upload your resume
- AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
- Brief assessment testing real-world coding ability, technical depth, and debugging approach
- Follow-up communication within a few days with next steps and onboarding details
- 3–10 years of experience as a frontend engineer
- Degree in Software Engineering, Computer Science, or a related field
- Strong proficiency in React, Typescript or Javascript
- Experience with debugging, testing, and validating code
- Comfortable with technical writing and attention to detail
This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
Key Responsibilities
- Develop and validate coding benchmarks in React, TypeScript, or JavaScript by curating issues, solutions, and test suites from real-world repositories
- Ensure benchmark tasks include comprehensive unit and integration tests for solution verification
- Maintain consistency and scalability of benchmark task distribution
- Provide structured feedback on solution quality and clarity
- Debug, optimize, and document benchmark code for reliability and reproducibility