Remote Expert Software Engineer – Scala​/Kotlin​/OCaml - AI Trainer

Overview

About the Opportunity A leading AI research organization is evaluating how advanced AI systems perform in specialized engineering domains, and is seeking expert software engineers with deep, hands-on experience in Scala, Kotlin, and / or OCaml. You ll apply your expertise to assess complex, real-world technical scenarios — directly shaping how cutting-edge AI performs in these ecosystems.
Single-language specialists are strongly encouraged to apply.

• Apply your language expertise to evaluate technical tasks against real-world professional standards
• Review intricate code-level situations and provide precise, structured written assessments
• Work inside containerized repositories (Docker), running and interpreting programmatic and CI-style checks to judge whether an engineering environment is sound
• Provide clear written rationales explaining your expert judgments
• Complete well-defined, time-bounded tasks with explicit evaluation criteria

We value strong CS fundamentals, fast ramp-up, and high ownership — engineers who can flex across languages are especially valued, and deep single-language specialists are very welcome. The ideal candidate brings :

• 5+ years of professional software engineering in one or more of :
• Scala — functional / OOP JVM development; distributed systems;
  Spark, Akka, Cats, or ZIO; data engineering contexts
• Kotlin — JVM and Android development; coroutines; modern backend services
• OCaml — typed functional programming; compilers, tooling, or formal / systems work
• Comfort working in Docker / CI-based repo environments and reading automated checks — or the ability to ramp on these fast
• Ability to articulate not just what code does but why it s correct or idiomatic, clearly in writing
• Welcomed : engineers from top product, data, or research engineering backgrounds; non-traditional digital footprints are fine — a Git Hub profile is not required

Scala, Kotlin, and OCaml power distributed data systems, modern mobile and backend platforms, and high-assurance software — domains where AI systems still have limited depth. Your assessments directly influence how they learn to operate in them.

• Compensation : $120–200 / hour , based on depth and experience
• Expected commitment : 20–40 hrs / week
• Task flow is variable — work tends to arrive in waves, and there can be a lag between task batches. We re looking for people who stay flexible, including availability on weekends when needed, and who take ownership of keeping the project moving forward
• No proprietary tooling required — tasks are completable without employer-provided systems