Multilingual AI Data Annotator & LLM Specialist

Location

Across Pakistan

Salary

Not specified

Company

Akash pawar

Job description

### Role & Company / Project Overview We are hiring qualified professionals, freelancers, teams, and language service vendors for an exciting long-term Multilingual AI Data Annotation and LLM project. The project involves working on both general and domain-specific AI annotation tasks with potential long-term collaboration opportunities. ### Key Responsibilities & Daily Duties • Perform general and domain-specific AI data annotation tasks. • Review, annotate, evaluate, and fine-tune datasets for Large Language Models (LLMs) across specialized domains. • Undergo initial training and trial assessments before formal project assignment. • Deliver high-quality, task-based annotated data meeting rigorous quality standards. ### Required Qualifications, Skills & Experience **Required Languages (Must be fluent/native in one of the 8 languages):** • Indonesian (id-ID) • Vietnamese (vi-VN) • Thai (th-TH) • Malay (ms-MY) • Filipino / General English (fil-PH / en-General) • Arabic - Middle East (ar-ME) • Brazilian Portuguese (pt-BR) • Mexican Spanish (es-MX) **Required Professional Domains:** • Finance & Accounting: Banking & financial services, accounting & economics, financial analysis & related fields. • Healthcare & Medical: Medicine & healthcare, nursing & pharmacy, medical research & related fields. • Legal & Law: Law & legal services, legal research & documentation, legal practice & related fields. **Candidate Profile Levels:** • Level 1 – Generalist: Bachelor's or Associate's degree in a relevant field OR relevant industry work experience / practical training. • Level 2 – Specialist / Senior Generalist: Meet at least 2 of the 3 requirements: Bachelor's or Master's degree in the relevant field; Professional certification or relevant industry experience; Previous LLM / AI data annotation experience. • Level 3 – Expert: Meet all applicable requirements: Master's degree or PhD in the relevant field; Relevant professional certifications or qualifications; Strong professional experience in the industry; Previous LLM / AI data annotation experience. ### Working Hours, Shifts & Location Details • Working Mode: Remote / Work from home. • Duration: 3–6 Months (with potential extension). • Open to individual freelancers, qualified professionals, experienced annotation teams, and language service providers. ### Compensation & Benefits • Payment Model: Per Data / Task-Based. • Rates: To be confirmed. ### Application Instructions • Selection Process: CV screening + qualification test. • Submit your CV, native language, country, professional field, qualifications, and relevant experience.