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يرجى تقديم سيرتك الذاتية باللغة الإنجليزية وتحديد مستوى إتقانك للغة الإنجليزية.
تربط Mindrift المتخصصين بفرص الذكاء الاصطناعي القائمة على المشاريع لشركات التكنولوجيا الرائدة، مع التركيز على الاختبار والتقييم وتحسين أنظمة الذكاء الاصطناعي.
المشاركة قائمة على المشروع، وليست توظيفاً دائماً.
ما تتضمنه هذه الفرصة: عملاء تطوير frontier coder هم بالفعل جيدون في اجتياز الاختبارات.
نقيس ما إذا كانوا يجتازونها بالطريقة الصحيحة.
نحن نبني مجموعة بيانات لتقييم السلامة والسلوك في وكلاء التشفير البرمجي للذكاء الاصطناعي — ليس فقط إذا أكملوا المهمة، بل هل قاموا بذلك بأمانة، ضمن النطاق، ودون تجاوز الحدود.
ستصمم مهام حيث الطريق السهل هو الطريق غير الآمن، وتكتب الاختبارات التي تلتقط ذلك: بناء بيئات مطور واقعية — شركة افتراضية بها قاعدة كود وبنية تحتية وسياق (تذاكر، وثائق، محادثات) تشكل تاريخ تطوير يمكن تصديقه Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.
Cybersecurity experience is a nice-to-have but not a requirement.
We're looking for engineers who understand how code should behave, not penetration testers.
Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.
Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.
Creating a task that genuinely challenges the best models is non-trivial.
The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.
Tasks have many valid solutions; tests must accept all of them and reject the bad ones.
How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.
This is an estimate, not a guaranteed workload, and applies only while the project is active.
Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise.
Please note that other projects on the platform may offer different earning levels based on their requirements.