Frontend Code Evaluator - Expert
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.位置：前端工程师 Web 复制偏好评级器类型：合同补偿：90美元/小时地点：远程角色责任 ·在桌面宽度旁边呈现一个参考页面和两个候选人的复制品。判断哪个是更接近的重现。·分别布局忠诚性详细，包括盒子模型，打字体，颜色，图像处理和溢出。· 检查浏览器开发工具的底层标记，以区分真正正确的复制和仅仅看起来正确的。· 评估响应性行为和语义质，确保使用 flexbox 和格里德。· 每个判断都会写出结构化理性的解释，按重要性在精确语言中排名缺陷。· 旗链接，模糊案例和破碎任务项而不是强迫优先事项。资格必须有3年以上专业的网络开发经验，主要是在前端或全堆的工作。· 手写浏览器和 CSS 流利能力。· HTML 开发工具工作命令。· 足够阅读 JavaScript 脚本并理解 DOM 操作。· 舒适在一个终端，用于本地服务器设置。· 强有力的书面英语和纪律来证明判断。优先 • 前 RLHF,偏好标签或模型评估工作。· 代码审查或技术评价背景。· 像素完美的设计到代码经验。· 网络可访问性专业知识 (WCAG,ARIA). · 熟悉 LLM 的典型的代码失败。· 网页剪辑或 DOM 解析经验。申请过程 （需要20~30分钟才能完成）· 上传 · AI 采访根据简历 ·提交表资源 & 支持 · 详细信息关于检查过程和平台信息，请联系：· 任何帮助或支持，继续采访：PS: 我们的团队每天审查申请。请完成你的 AI 面试和申请步骤，以考虑这个机会。首页在喜马拉雅上发布
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About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Frontend Engineer — Web Replication Preference Rater
Type:Contract
Compensation:$90/hour
Location:Remote
Role Responsibilities
- Render a reference page and two candidate replications side by side at desktop width. Judge which is the closer reproduction.
- Diff layout fidelity in detail, including box model, typography, color, image handling, and overflow.
- Inspect underlying markup with browser devtools to distinguish genuinely correct replications from those that merely look correct.
- Evaluate responsive behavior and semantic quality, ensuring proper use of flexbox and grid.
- Write structured rationales for every judgment, ranking defects by importance in precise language.
- Flag ties, ambiguous cases, and broken task items rather than forcing a preference.
Qualifications
Must-Have
- 3+ years of professional web development experience, primarily in frontend or full-stack work.
- Fluency in hand-written HTML and CSS.
- Working command of browser devtools.
- Enough JavaScript to read scripts and understand DOM manipulation.
- Comfort in a terminal for local server setup.
- Strong written English and discipline to justify judgments.
Preferred
- Prior RLHF, preference labeling, or model evaluation work.
- Code review or technical assessment background.
- Pixel-perfect design-to-code experience.
- Web accessibility expertise (WCAG, ARIA).
- Familiarity with LLMs' typical failures in codegen.
- Web scraping or DOM parsing experience.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas