Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи описаны понятно и связаны с оценкой ИИ, но формат подряда, неопределённость с назначением на проект и неуказанная ставка делают предложение менее предсказуемым.
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Без гарантии проектаФормат подрядаОпыт в оценке ИИПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Mobile App Developer (AI Evaluation): Evaluating production mobile code, debugging traces, and developer-facing AI outputs against real-world correctness standards with an accent on code reproduction, unit testing, and edge-case analysis. Focus on writing minimal failing tests, ranking paired solutions, triaging security issues, and documenting code-generation failures for modeling teams.
Location: Remote, US-eligible
Company
hirify.global Human Data pairs experienced engineers with modeling teams to evaluate the correctness and quality of AI-generated software engineering outputs.
What you will do
Run and reproduce generated mobile development code in a sandboxed environment.
Grade solutions for correctness, style, compilation, runtime behavior, and edge-case handling.
Write minimal failing unit tests that demonstrate missed bugs.
Compare paired solutions, rank them against a rubric, and provide clear written rationales.
Tag failure modes such as compile errors, runtime crashes, off-by-one errors, and security issues with severity scores.
Document recurring code-generation failures and calibrate reviews against gold-standard evaluations.
Requirements
Strong day-job engineering experience with the ability to read, run, and debug unfamiliar code for mobile development assignments.
Ability to write concise unit tests that capture a single failure mode.
Familiarity with a testing framework such as pytest, Jest, JUnit, Go test, or RSpec.
Clear written reasoning suitable for review by another senior engineer.
Reliable asynchronous availability for at least 10 hours per week.
Nice to have
Prior code-review or technical-interview-grading experience.
Open-source contributions or a public portfolio demonstrating production-quality code.
Experience with standard tooling, linters, and idiomatic style guides for the target language.
Familiarity with security-review checklists such as OWASP and CWE and with AppSec patterns.
Hourly rate confirmed after the interview process.
Placement depends on current program demand and reviewer confirmation.
Hiring process
Submit an application for the specialist cohort.
Complete human review after intake and confirm profile and eligibility details.
Placement follows if the profile fits a current program and reviewer confirmation is received.
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