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.
Key Responsibilities
Collaborate with cross-functional teams to deliver robust solutions in TypeScript and Rust.
Design, implement, and refactor complex systems, with a focus on codebase migrations or rewrites between language ecosystems.
Create and curate high-quality human data for AI training and evaluation tasks.
Follow best practices for software engineering, including code reviews, testing, and documentation.
Communicate technical concepts clearly via written and verbal communication to both technical and non-technical stakeholders.
Troubleshoot, debug, and optimize codebases in both TypeScript and Rust environments.
Maintain 6+ hours of daily work overlap with the Eastern Time zone to ensure effective collaboration.
Required Skills and Qualifications
5+ years of professional software development experience, with a proven track record of production-level work.
Idiomatic fluency in TypeScript and Rust, demonstrated through hands-on experience.
Strong background in codebase migrations, rewrites, or working within multiple language environments.
Excellent written and verbal communication skills, with the ability to explain complex technical issues clearly.
Experience producing or working with human-labeled data, ideally for AI or ML applications.
Ability to work independently and as part of a remote, global team.
Fluent English proficiency.
Preferred Qualifications
Previous experience on AI/ML data engineering or data labeling teams.
Contributions to open-source TypeScript or Rust projects.
Background in developing scalable cloud-native applications.