Japanese Digital Content Evaluation Role

last updated December 6, 2025 0:25 UTC

Welo Data

HQ: New York, NY

  • OFF: Japan
  • Full-Time
  • Sales and Marketing

Welo Data partners with technology companies to deliver datasets that are high‑quality, ethically sourced, relevant, diverse, and scalable to strengthen their AI models. As part of the Welocalize family, Welo Data draws on more than 25 years of experience working with leading global innovators and brings together a carefully selected worldwide network of over 500,000 AI training and domain specialists. Our services include:

ANNOTATION & LABELLING: Transcription, summarization, and image and video classification and labeling.

LLM ENHANCEMENT: Prompt engineering, SFT, RLHF, red‑teaming and adversarial testing, and model output ranking.

DATA COLLECTION & CREATION: From institutional language resources to remote field audio collection.

RELEVANCE & INTENT: Culturally informed ranking, relevance assessment, and evaluation to train search, advertising, and LLM output.

Interested in joining Welo Data? We deliver practical, applied AI expertise and combine strong academic backgrounds with deep, hands‑on knowledge of the latest AI tools, frameworks, and best practices. Help us elevate our clients’ data at Welo Data.

Description:

We are pleased to invite Japanese speakers to join us as Digital Content Evaluation Specialists.

In this position, you will help define the quality standards for digital content, specifically for Japanese as spoken in Japan.

Key Responsibility:

You will evaluate real‑world data to improve content quality.

The materials you may review include:
· Mobile and smart TV applications
· AI assistant outputs
· Music, videos, books, and podcasts

Your work will directly influence the experience of users around the world.

This Role Is Ideal for Individuals Who:

· Have deep familiarity with Japanese as used in Japan
· Enjoy a wide range of content, including music, films, TV series, podcasts, and books
· Quickly spot issues in digital or streaming content that could be corrected
· Regularly use modern technologies such as streaming apps, smartphones, smart TVs, and AI tools

Project Details:
Job Title: Digital Content Evaluation Specialist
Pay Rate: Approximately $15.00 per hour
Location: Remote (must reside in Japan)
Schedule: Flexible; approximately 4 hours daily
Start Date: Immediate
Employment Type: Freelance/Independent Contractor
Project Duration: Ongoing

Please note: Welo Data uses advanced fraud detection tools to ensure that all freelancers provide accurate identity, location, and financial information.

Requirements:

· Native fluency in Japanese
· Must have lived in Japan for at least five years
· Ability to follow instructions and provide feedback in English
· Ability to follow project guidelines and client rules provided in English
· Minimum commitment of four hours of work per week (depending on data availability)
· Broad cultural knowledge and media awareness across demographics and generations
· Understanding of digital content ecosystems and distribution channels
· Awareness of online community behavior and current trends
· Strong interest in modern technological advancements

Disclaimer:

I understand that all time spent completing this application, including any guidance on passing the client exam and joining the project, is unpaid.

I understand that inactivity after being hired may result in removal from the project.

I understand that a laptop or personal computer is required for this project; mobile devices cannot be used.

To Apply:

Submit your resume and a brief explanation of why you are a strong candidate for this role. Include any experience relevant to content evaluation, research, or analysis.

Review the NDA information provided in the application link and give your consent in the questionnaire. Signatures are not required; you only need to read the document.

We welcome applications from students and individuals who want to build professional evaluation skills while keeping a flexible schedule.

Apply info ->

To apply for this job, please visit jobs.lever.co