**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._
**What You'll Do**
- 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
**Who We're Looking For**
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 GitHub profile is not required
**Why This Work Matters**
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.
**Engagement Details**
- 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