Job Description
Project/Opportunity Details
A SWEAP task involves solving real-world GitHub issues with a dedicated testing environment and solution (the "golden patch"). Contributors verify testing environments, categorize problems by relevance and knowledge areas, and write notes to guide AI agents in understanding solutions.
Accepted Locations
- US, Canada, LATAM, Europe, Africa, Asia
- This is 100% remote work
- [Complete list of accepted locations](click here)
Loom Video
- An in-depth Loom video by Founder/CEO Gabe Greenberg is available. [Watch here](Loom Video)
Overview
Join our skilled annotation team to create training data for advanced AI models.
- No prior AI experience required.
- Work with notable AI/LLM projects.
- Seek contributors experienced in professional software engineering on production repositories.
Responsibilities
- Verify testing environments using logs
- Categorize problems
- Write notes to guide AI understanding
- Evaluate quality of AI-generated code
- Solve coding problems in various languages
- Create robust test cases
- Develop instructions and review code
- Engage in diverse projects, including coding and application development
Pay Rates
- Average: $30/hour, up to $50+/hour
- 15+ hours/week expected; no upper limit
- Weekly payment
Contract Details
- Long-term, no end date
- Expected duration: 2 years
- Flexibility to end at any time
- Recommended commitment: 12 months
Flexible Schedule
- Set your own hours
- Ideal: 40 hours/week
- Projects assigned; flexibility on work hours
- Paid based on time spent
Interview Process
- Apply via Ashby form
- Async RLHF code review (35 min, complete within 72 hrs)
- Platform credentials and support
- Final task: production-level RLHF
- Successful completion = project assignment
Tech Stack Priorities
- Go, Git, Java, JavaScript, Python, TypeScript
- Screenings on language-specific skills:
- Go: concurrency, race conditions, web servers
- Java: thread safety, caching, concurrency
- TypeScript: types, generics, utility types
- JavaScript: object cloning, memory, inheritance
- Python: optimization, algorithms, recursion
Requirements
- Professional experience on production repositories
- Large-scale repository management
- Fluent English, clear technical articulation
- Attention to detail
Nice To Haves
- Degree in CS
- Experience with JavaScript frameworks, testing, state management
- Contributions to the coding community
- Analytical and creative problem-solving skills
- Strong communication skills
- Passion for AI and technical writing
Conclusion
An excellent opportunity for passionate software engineers interested in AI technology!
Job Highlights
Join our innovative team to contribute to cutting-edge AI projects while leveraging your software engineering expertise.