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Business Account Rater (German / Japanese / Korean / French)

Review AI-generated business responses for relevance, accuracy, and personalization using real professional email history. Remote contractor role (part-time to full-time) requiring native-level fluency in German, Japanese, Korean, or French and overlap with PST.

OpenTrain AI

Generative AI & RLHF

Remote

4 countries

Eligibility

Entry

Experience

Jul 16, 2026

Posted

Open to applicants in

Germany Japan South Korea France

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by consolidating opportunities, building a unified portfolio, and making specialized AI training work easier to track, apply for, and scale into a durable freelance career.

Why AI Training Work Matters

AI training (also called data labeling or human feedback work) is the human side of building intelligent systems. Contributors annotate, evaluate, and improve model outputs so AI behaves more accurately and helpfully. This work is remote, flexible, and accessible—making it a great way to work in tech while shaping how AI performs in real-world professional settings.

  • 100% remote work you can do from anywhere with an internet connection
  • Flexible scheduling that fits around other commitments
  • No prior AI experience required for many roles; language skill and attention to detail are often enough

The Role

As a Business Account Rater you will evaluate AI-generated responses tailored for professional users by comparing outputs against a user’s business email history and account activity. Your judgments help models learn to write accurate, relevant, and appropriately personalized business communications.

This is a contractor position that can range from part-time to nearly full-time (schedules can reach up to 40 hours/week). Work is remote but requires schedule overlap with Pacific Standard Time (PST).

  • Contractor, part-time or up to full-time availability
  • Remote work with required overlap with PST
  • Work focuses on text-based AI responses and comparative evaluations (RLHF-style ratings)

What You’ll Do

You will read AI-generated responses alongside a professional user’s email history and business account signals, then judge how well each response fits the user’s context and needs. You’ll compare multiple model outputs, flag mistakes, and write structured feedback that helps improve model behavior.

  • Assess personalization quality, relevance, accuracy, and helpfulness of AI responses
  • Compare multiple model answers and select the stronger option
  • Identify unsupported assumptions, incorrect personalization, and irrelevant recommendations
  • Write clear, structured evaluation notes to guide model improvement
  • Follow detailed project guidelines and maintain strict confidentiality and data privacy

Requirements

To be successful in this role you must meet the language, account, and experience requirements listed below. Every requirement is important because evaluations use real professional email context and precise language judgment.

  • Native-level proficiency in German (de), Japanese (ja), Korean (ko), or French (fr)
  • Active Google Workspace business account regularly used for professional communication
  • Gmail display language set to the project target language and the majority of your inbox emails in that language
  • Strong analytical thinking, attention to detail, and clear written communication skills
  • Ability to work independently in a remote contractor role
  • Bachelor’s degree or equivalent practical experience

Helpful Background

Prior experience evaluating AI outputs, performing data annotation, content review, or quality assurance is preferred but not strictly required. Familiarity with professional email tone and business communication norms in the target language will help you provide high-quality feedback.

  • Experience judging AI-generated responses for personalization and relevance
  • Comfort writing structured evaluation feedback in the target language

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