Legal Domain Expert (Law graduate)
Lemon R · Kuala Lumpur

Legal Domain Expert (Law graduate)

Lemon R · Education
Posted 01.10.2026
Gehalt USD10 - 30
StandortKuala Lumpur
Arbeitsplatz Remote
Vertrag Freelance · PartTime
monthsOfExperience: 24

We are hiring for our client, the big player and leader in the artificial intelligence (annotation) sector. You will be informed about the client once you get shortlisted.

The client is a global leader in providing high-quality training data and data-platform solutions that power enterprise AI --- from text/audio labeling to large-scale image/video annotation and LLM customisation.

The client combines a scalable platform and managed services to deliver trusted datasets for leading AI programmes and enterprise customers.

Should you be eager to apply your domain-specific knowledge within the cutting-edge landscape of AI and LLM advancement while getting extra income , we invite you to apply now!

Location: Fully remote in Malaysia Compensation: Decided by the client based on your expertise and region. Paid in USD

Type: Contractor / Freelancer

Aufgaben und Verantwortlichkeiten:

  • Review, evaluate, and improve AI/LLM-generated content related to law and legal reasoning.
  • Create and validate high-quality legal prompts, responses, scenarios, and evaluation criteria.
  • Assess AI outputs for legal accuracy, reasoning quality, relevance, and consistency.
  • Identify errors, ambiguities, and potential legal risks in AI-generated content.

Qualifikationen:

  • Degree or professional background in Law, Legal Studies, or a related field.
  • 2+ years of professional experience in legal practice, legal research, compliance, contracts, or a related legal function.
  • Strong understanding of legal principles, terminology, and analytical reasoning.
  • Excellent written communication and attention to detail.
  • Familiarity with AI/LLMs, prompt evaluation, or data annotation is highly preferred.

Ähnliche Jobs

Ihr nächster Job beginnt hier!

Melden Sie sich bei PikaJob an, um personalisierte Empfehlungen zu erhalten.