Coding Expert - Go (Golang)

Coding Expert - Go (Contract) Labelbox Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) - \$25 – \$100 per hour- Start Date - Rolling — staffed as projects launch What you’ll do - Review and assess AI-generated Go (Golang) code for accuracy, style, and efficiency.- Write performant Go code for common systems and backend problems.- Explain your problem-solving approach and evaluation criteria. You’re a great fit if - Fluent in English, with clear and effective communication skills.- Expertise in Go: Knowledge of goroutines, channels, concurrency, and package organization.- 3-5 years of backend or distributed systems experience using Go is a plus.- Bachelor’s degree (or pursuing one) in Computer Science or related field. Master’s or PhD preferred.- Bonus: Experience with data labeling, RLHF, or other AI training projects About the role - Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process - Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.- Domain-specific Zara interview to assess your Go (Golang) expertise, including Go’s concurrency model (goroutines and channels), interface-driven design, memory and performance optimization, and integration with systems-level components. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.