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Alpha

AI Data Annotators – Native Japanese, French

Alpha

Remote freelance annotators reviewing Japanese and French SMS/email content for Alpha CRC’s scam-detection AI systems. Creating accurate, high-quality machine-learning training data under detailed guidelines.

Posted 8/14/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates native-level proficiency in Japanese or French, alongside excellent English communication skills, while effectively managing large volumes of data annotation and quality assurance tasks. Exhibits strong attention to detail and analytical abilities to ensure high-quality outputs in machine learning training data.

Highest-signal resume keywords
Native-Level Proficiency In JapaneseNative-Level Proficiency In FrenchData Annotation ExperienceSpreadsheet Application ProficiencyStrong Attention To Detail

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnnotationContent ModerationData LabellingQuality AssuranceMachine Learning Data AnnotationAnalytical SkillsPattern RecognitionDecision Making
Soft Skills
Excellent Communication SkillsProblem-Solving SkillsCollaboration SkillsAbility To Work Independently
Tools & Technologies
Spreadsheet Applications
Industry Keywords
EMEA Time ZoneUSA Time ZoneColloquial Language ComprehensionRepetitive Data ManagementTraining Data Creation

About the role

Key responsibilities & impact
  • Review SMS and email messages in spreadsheets and classify each message according to established annotation guidelines
  • Apply labels accurately and consistently while maintaining high quality standards
  • Process approximately 2,500 messages per day, meeting productivity and quality targets
  • Identify ambiguous or edge-case examples and escalate them when necessary
  • Participate in regular team calibration sessions and peer reviews, approximately 10% of working time
  • Follow project documentation, workflows, and data handling procedures
  • Communicate proactively with the project team regarding questions, issues, or guideline clarifications
  • Create high-quality training data for machine learning systems used in fraud and scam detection

Requirements

What you’ll need
  • Native-level proficiency in Japanese or French, spoken and written
  • Excellent command of the English language
  • Ability to work within EMEA or USA time zones
  • Excellent reading comprehension of colloquial language, slang, abbreviations, and regional expressions
  • Strong attention to detail and ability to make accurate, consistent decisions based on detailed guidelines
  • Comfortable working with large volumes of repetitive data while maintaining accuracy
  • Ability to manage deadlines and achieve daily productivity targets
  • Comfortable reviewing scam attempts, offensive language, profanity, or other sensitive material
  • Experience using spreadsheet applications
  • Previous experience in data annotation, content moderation, data labelling, quality assurance, or linguistic projects is an advantage
  • Experience with AI or machine learning data annotation projects is preferred
  • Strong analytical and problem-solving skills
  • Ability to recognise patterns and identify inconsistencies in data
  • Excellent communication skills and willingness to collaborate in an international remote team
  • Ability to work independently while following detailed instructions
  • Reliable internet connection and access to a computer suitable for remote work
  • CV and a letter of motivation explaining suitability for the role

Benefits

Comp & perks
  • Fully remote freelance engagement
  • Opportunity to contribute to the development of cutting-edge AI systems focused on scam and fraud detection
  • Work with an experienced international project team
  • Clear annotation guidelines and ongoing support
  • Flexible remote working environment
  • Gain valuable experience in AI data annotation, content classification, and machine learning projects