AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Volga Partners

2d•$12 - $16

About The Position

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter.

Requirements

You’re detail-oriented and enjoy accuracy-based work.
You can follow instructions carefully and apply them consistently.
You’re comfortable working independently with minimal supervision.
You have strong reading comprehension and critical thinking skills.
You communicate clearly and respond to feedback professionally.
Fluency in Japanese, with strong written and verbal communication skills.
Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
Strong attention to detail and ability to work with complex data sets.
Ability to work independently and collaboratively in a fast-paced environment.
Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Nice To Haves

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided.
Experience or interest in AI, Machine Learning, or data annotation preferred.
Familiarity with translation and localization processes is an advantage.

Responsibilities

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.