Posted today · be early
Software Engineer
EVB
WorldwideremotePosted 1 day ago
Skill Required
Software-EngineerAI-ML-EngineerCode-DevelopmentPython-DevelopmentSoftware-Engineer-DeveloperSoftware-DeveloperIT-Software-EngineerSoftware-Engineer-JobsEngineering-Software-DeveloperSoftware-Systems-EngineerSoftware-Engineering-JobsSoftware-Design-EngineerSoftware EngineerSoftware Developersoftware engineeringMachine LearningData StructuresEngineeringTypeScriptdebuggingbuildingPythonC++JavaRustandGoAIContract
Key highlights
- Compensation is output‑based, paid per task.
- Contractor role: 15 hours/week, remote.
- Fast start: fill within 48 hours, begin tasks within 24–48 hours after onboarding.
- No prior AI experience required; domain expertise is valued.
- Competitive and attractive package offered.
- Requires expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript.
Role overview
Engaging expert Senior Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You will be creating Reinforcement Learning Environments which test an AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.
Responsibilities
- Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
- Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
- Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
- Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
- Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
- Review and validate peer-contributed code and technical submissions for accuracy and clarity.
- Create Reinforcement Learning Environments that test an AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code, and optimizing performance.
- Create a reproducible environment and golden reference solution for each problem.
Requirements
- Contractor role (15 hours per week).
- Remote work location.
- Must be able to start first tasks within 24–48 hours of completing onboarding.
- Must meet minimum submission requirements (minimum number of tasks per week).
- Significant hands‑on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
- Deep understanding of algorithms, data structures, and software engineering principles.
- Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
- Experience with large codebase refactoring and legacy system modernization.
- Strong documentation and communication skills to articulate technical concepts clearly.
- Track record of delivering high‑impact features from conception through delivery within cross‑functional projects.
Nice to have
- Interest in or curiosity about AI and its technical challenges (previous AI experience not required).
Benefits
- Output‑based compensation paid per task that meets project specifications.
- Competitive and attractive overall package.
- Remote work flexibility.
- Flexible schedule (15 hours per week).
- Opportunity to contribute to cutting‑edge AI model training without prior AI experience.
- Fast hiring process – roles typically filled within 48 hours.
Additional details
- Company is a rapidly growing, venture‑backed AI company with more than $40 million in funding.
- Leverages a proprietary AI‑driven talent assessment and matching platform to connect experts with high‑impact AI projects.
- Works with professionals across software engineering, finance, healthcare, legal, operations, research, and other specialized domains.
- Experts provide real‑world knowledge, evaluations, feedback, and domain‑specific judgment to improve AI model performance.
- Building critical human intelligence infrastructure for the AI economy.
- Position originally posted on Himalayas.
