TrustScale (an e2f company) helps people and machines communicate naturally regardless of language, content, or culture.

With expertise in data science—and deep roots providing agile translation in 200+ languages and dialects—TrustScale uniquely provides high-quality linguistic datasets of multilingual speech, text, annotation, and quality data required to help machines understand people.

TrustScale customers include several of the world’s most successful artificial intelligence (AI) and natural language processing (NLP) deployments.

Key Responsibilities

• Perform high-quality Korean transcription (speech-to-text) with excellent accuracy and consistency
• Lead and support linguistic annotation projects, including intent/entity labelling, classification, and LLM data tasks
• Review, improve, and enforce annotation guidelines and quality standards
• Conduct QA and validation of annotated datasets
• Serve as a language and workflow expert during pilot project launches
• Coordinate with internal project managers and provide feedback on task design and edge cases
• Mentor and support other Korean annotators as projects scale

Required Qualifications

• Native fluency in Korean with strong linguistic expertise
• Proven experience in transcription and annotation for AI or language data projects
• Familiarity with modern annotation workflows and tools (Label Studio, Prodigy, Appen platforms, etc.)
• Strong understanding of Korean grammar, nuance, and spoken language variation
• Excellent attention to detail and ability to follow complex guidelines
• Detail oriented and high precision & quality
• Ability to communicate professionally in English (written + spoken)

Preferred Experience

• Experience leading annotation teams or serving as a linguistic QA lead
• Background in NLP, speech recognition, or LLM training datasets
• Prior work on large-scale data labelling projects within the last 2–3 years
• Ability to help design annotation schemas and improve processes

What We Offer

• Opportunity to become a key long-term partner on high-impact AI language projects
• Flexible remote collaboration
• Involvement in pilot initiatives and leadership opportunities as projects scale
• Competitive project-based compensation depending on experience