French AI Response Labeler & Annotator (Remote)

Blueprint Technologies, LLC.

Bellevue (WA)

Hybrid

USD 20,000 - 23,000

Full time

2 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
FSA
Paid time off
Parental leave
Growth opportunities

Job summary

Blueprint Technologies, LLC is seeking an AI Response Labeler / Annotator specializing in French. This remote role emphasizes evaluating AI-generated content across topics, ensuring cultural and linguistic accuracy for France-specific French usage.

You'll compare model outputs, judge factuality and usefulness, and work with English and French content under clear guidelines. The work is repetitive yet quality-driven, with robust training and calibration cycles to maintain high standards.

Qualifications

  • Native-level or professional fluency in French.
  • Strong English reading and comprehension to follow English annotation guidelines.
  • Excellent analytical and structured decision-making skills.

Responsibilities

  • Perform side-by-side comparisons of AI-generated responses to determine which is stronger.
  • Evaluate factual accuracy, relevance, completeness, clarity, reasoning, and tone.
  • Assess content in English, French, or a mix, as required by scenarios.
  • Work with varied content types (web results, files, images, conversations).
  • Apply French France context to language, terminology, and cultural nuances.
  • Document decisions with clear, concise rationales and meet productivity targets.

Skills

French fluency
English fluency
Analytical thinking
Attention to detail
Independent work

Job description

Blueprint Technologies, LLC is seeking an AI Response Labeler / Annotator specializing in French. This remote role emphasizes evaluating AI-generated content across topics, ensuring cultural and linguistic accuracy for France-specific French usage.

You'll compare model outputs, judge factuality and usefulness, and work with English and French content under clear guidelines. The work is repetitive yet quality-driven, with robust training and calibration cycles to maintain high standards.

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