About the Opportunity A leading AI research organization is seeking expert software engineers with deep, hands-on experience in one or more specialized programming languages — Scala, COBOL, ABAP, Verilog, Fortran, or Slang — to contribute to a high-impact technical evaluation initiative. In this role, you will apply your language-specific expertise to assess complex, real-world technical scenarios — directly informing how cutting-edge AI systems perform in these domains. Single-language specialists are strongly encouraged to apply. You do not need experience across multiple languages to qualify.

What You'll Do

• Apply your deep language expertise to evaluate complex technical tasks and scenarios against real-world professional standards

• Review intricate code-level situations and provide precise, structured written assessments

• Assess technical outputs the way a senior practitioner would — considering correctness, idiomatic usage, and ecosystem-specific conventions

• Provide clear written rationales that explain your expert judgments

Complete well-defined, time-bounded tasks with clear evaluation criteria Who We're Looking For We are seeking engineers with genuine professional or research depth in one or more of the following languages and ecosystems: Scala — Functional/OOP JVM development; distributed systems; Apache Spark, Akka, Cats, or ZIO; financial services or data engineering contexts COBOL — IBM mainframe (z/OS) production development; JCL, CICS, VSAM, DB2; banking, insurance, or federal government systems ABAP — SAP development in R/3 or S/4HANA; Workbench tools (SE38, SE80, SE11); BAPIs, BADIs, Enhancement Spots; enterprise ERP environments Verilog / SystemVerilog — RTL design for FPGA or ASIC; testbench development; EDA toolchains (Vivado, Quartus, Synopsys, Cadence); hardware, telecom, or defense Fortran — Modern Fortran (90/95/2003+); MPI or OpenMP parallelization; HPC cluster work; scientific computing, climate modeling, CFD, or computational physics Slang — GPU shader and graphics programming; real-time rendering pipelines; DirectX, Vulkan, or CUDA-based workflows; NVIDIA Falcor or similar frameworks; graphics research or game engine development The ideal candidate has 5+ years of professional or research experience in their primary language, has applied it in a real production, enterprise, or research context, can articulate not just what code does but why certain patterns are correct or idiomatic in their ecosystem, and communicates technical reasoning clearly in writing. We particularly welcome: COBOL and ABAP practitioners from banking, insurance, or enterprise ERP backgrounds; Verilog and Fortran engineers from academic institutions, national labs, or defense/aerospace contexts; Slang engineers from graphics research, game engine, or real-time rendering backgrounds; and engineers with non-traditional digital footprints — a GitHub profile is not required.

Why This Work Matters Scala, COBOL, ABAP, Verilog, Fortran, and Slang collectively underpin critical infrastructure in global banking, enterprise ERP, semiconductor design, scientific computing, and GPU graphics — yet they remain among the least well-represented domains in AI research. The expertise you bring is rare. Your assessments directly influence how AI systems are developed to operate in domains that most researchers have limited exposure to. This is meaningful, high-impact work with lasting reach.

Engagement Details

• Compensation: $120–$200/hour, based on language, domain, and experience level

• No proprietary tooling required — tasks are designed to be completable without employer-provided systems (no SAP license, no mainframe access needed)