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.
Responsibilities
Analyze, debug, and resolve issues across diverse codebases written in Python3, Java, Rust, C++, Go, or TypeScript.
Contribute to the design and implementation of new features and enhancements for code generation workflows.
Refactor and optimize codebases to improve performance, maintainability, and adaptability.
Develop and review real-world coding tasks to evaluate AI model performance and accuracy.
Author clear, actionable feedback and annotations to support model training and assessment.
Collaborate with other open-source contributors and technical stakeholders to set technical direction and ensure robust outputs.
Document technical decisions, best practices, and solutions to drive project transparency and knowledge sharing.
Required skills
Expertise in competitive programming and coding problem analysis.
Expertise in at least one of: Python3, Java, Rust, C++, Go, or TypeScript, with solid knowledge of algorithms and data structures.
Proven track record of open-source contributions or participation in collaborative software projects.
Strong analytical abilities to interpret complex problem constraints and multiple solution paths.
Exceptional written and verbal communication skills; ability to articulate technical details clearly.
Meticulous attention to detail in code validation and output consistency.
Experience working independently in a remote, collaborative environment.
Commitment to producing high-quality, well-documented code under tight deadlines.
Schedule details
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Eligibility
Work arrangement: Fully remote
Compensation details
$50–$100 per hour.
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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