马拉雅拉姆语标注与转录专员
Malayalam Annotation & Transcription Specialist
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，我们的投资人包括 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：远程办公
岗位职责
- 收集文档：找到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
- 母语为马拉雅拉姆语，熟练掌握该脚本。
- 有标注、转录、翻译、本地化或地区语言数据审核的经验。
- 字符级别的准确度。
- 在页面上系统地应用分类法。
- 能够处理不熟悉的布局，如多栏报纸和手写表单。
优先考虑
- 有地区语言 AI 数据标注、标记或双语评估的经验。
- 具有转录和本地化技能，如 MTPE、字幕制作或 OCR 修正。
- 文档制作经验：排版、校对或校对。
- 对脚本和编码的了解：Unicode 正规化、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：
注意：我们团队每天都会审核申请。请完成您的 AI 面试和申请步骤，以便获得此机会的考虑。
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