马拉雅拉姆文档专家 - 全程远程 | 最高12美元/小时
Malayalam Document Expert - Fully Remote | Upto $12/hr
职位描述
Mercor将顶尖的创意和技术人才与领先的AI研究实验室联系起来。公司总部位于旧金山，我们的投资者包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：PDF标注与转录专家 – 马拉雅拉姆语
类型：合同工
薪酬：13美元/小时
地点：远程
岗位职责
- 源文档：查找包含多模态元素的公开马拉雅拉姆语PDF，并记录其来源。
- 标注结构：识别并框定页面上的每个有意义区域，并分配组件类型和阅读顺序索引。
- 记录关系：通过标识符将每个区域与其父组件关联。
- 准确转录：以马拉雅拉姆语脚本原样复制所有文本，标记无法辨认的区域。
- 捕获页面元数据：记录语言、类型、来源、尺寸以及表格、公式和手写内容的标志。
- 审核同事的工作：经验丰富的标注员会从头到尾审核任务。
- 任职要求
必须具备
- 马拉雅拉姆语母语者，熟练掌握该文字。
- 有标注、转录、翻译、本地化或地区语言数据审核的经验。
- 字符级别的精确度。
- 在页面上系统地应用分类法。
- 对于多列报纸和手写表单等不熟悉布局有适应能力。
优先考虑
- 有地区语言AI数据标注、标记或双语评估经验。
- 转录和本地化技能，如MTPE、字幕制作或OCR校正。
- 文档制作经验：排版、校对或校对。
- 对文字和编码的了解：Unicode规范化、输入方法、数字形式和字符形式的准确性。
- 申请流程（需要20-30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
- 资源与支持
- 有关面试流程和平台信息的详细信息，请查看：
- 如有任何帮助或支持，请联系：
附注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以考虑此机会。
最初发布在Himalayas
查看英文原文
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: PDF Annotation & Transcription Experts – Malayalam
Type:Contract
Compensation:$13/hour
Location:Remote
Role Responsibilities
- Source documents: find publicly accessible Malayalam PDFs with multimodal elements and record their sources.
- Annotate structure: identify and bound every meaningful region of the page and assign component types and reading-order indices.
- Record relationships: link each region to its parent component through an identifier.
- Transcribe faithfully: reproduce all text exactly as it appears in Malayalam script, flagging illegible regions.
- Capture page metadata: document language, type, source, dimensions, and flags for tables, formulas, and handwriting.
- Review a colleague's work: experienced annotators review tasks end to end.
Qualifications
Must-Have
- Native Malayalam speaker with full command of the script.
- Experience in annotation, transcription, translation, localization, or regional-language data review.
- Exact character-level accuracy.
- Systematic application of taxonomy across pages.
- Comfort with unfamiliar layouts like multi-column newspapers and handwritten forms.
Preferred
- Experience with regional-language AI data annotation, labeling, or bilingual evaluation.
- Skills in transcription and localization, such as MTPE, subtitling, or OCR correction.
- Document production experience: typesetting, copy-editing, or proofreading.
- Knowledge of script and encoding: Unicode normalization, input methods, numeral-form, and character-form accuracy.
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