Business Analyst - Japanese

Turing

4d•Remote

About The Position

Turing is seeking a Japanese-speaking Business Analyst to help improve large language models. The role involves answering analytical questions, creating scenarios for model training, researching information online, validating claims, and reading, summarizing, and breaking down large amounts of content into logical sections. Analysts provide correct answers and detailed explanations to help models learn. No prior specialized domain experience is required. The position is a remote contractor assignment requiring 40 hours per week for the contract duration, with 2–5 hours per day overlapping UTC-8:00 (America/Los_Angeles) hours. Compensation is based on experience and expertise. The role offers flexible working hours and the possibility of contract extension depending on performance and project needs. The engagement does not include medical benefits or paid leave.

Requirements

Fluent multilingual capability in English and Japanese.
Good research and analytical skills.
Ability to provide constructive feedback and detailed annotations.
Creative and lateral thinking abilities.
Excellent communication and collaboration skills.
Self-motivated ability to work independently in a remote setting.
Ability to commit 40 hours per week for the contract duration, with overlap with US hours.
Desktop or laptop setup with a good internet connection.

Nice To Haves

Bachelor’s degree or undergraduate studies in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field; candidates without a bachelor’s degree may be considered if they have relevant experience.
Professional writing experience, such as business analysis, research analysis, copywriting, journalism, technical writing, editing, or translation.
Understanding of Excel and Google Suite.
Proficiency in data interpretation, logical reasoning, and basic arithmetic.

Responsibilities

Answer analytical questions and create scenarios to train large language models.
Read, summarize, and break down large content into smaller logical blocks.
Conduct online research and validate claims made in content.
Provide correct answers, constructive feedback, and detailed annotations to support model improvement.