Freelance AI Content Evaluator – LLM/VLM, Audio & Data Labelling

TELUS International

United States

Remoto

USD 19.000 - 33.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

TELUS International is looking for multilingual contributors with experience in AI evaluation, LLM/VLM projects, audio transcription or data annotation. You will help leading technology companies improve AI accuracy, language understanding and content quality through flexible, project-based work.

You’ll review AI outputs for accuracy, perform data labeling and annotation, and support quality assurance across languages.

Competenze

  • Native-level proficiency in one or more listed languages.
  • English proficiency at B2 level or above is required.
  • Relevant experience in AI evaluation or data annotation is a plus.

Mansioni

  • AI Model Evaluation: review AI outputs for accuracy and quality.
  • Visual AI Evaluation: assess image/text interpretation for errors.
  • Audio Transcription: compare recordings with transcripts and fix gaps.
  • Data Labelling & Annotation: label and review text/images for training data.
  • Quality Assurance: follow guidelines to maintain high accuracy and consistency.

Conoscenze

AI evaluation
Data labeling
Audio transcription
Quality assurance
Multilingual
LLM/VLM evaluation
Transcription review

Formazione

Bachelor's degree preferred

Descrizione del lavoro

About the Opportunity

We’re looking for multilingual contributors with experience in AI evaluation, LLM/VLM projects, audio transcription or data annotation. You’ll help leading technology companies improve AI accuracy, language understanding and content quality through flexible, project-based work.

What You’ll Do

Depending on the project, your responsibilities may include:

  • AI Model Evaluation: Review AI-generated responses for accuracy, relevance, clarity and quality.
  • Visual AI Evaluation: Assess how AI models interpret images and text, identifying errors and inconsistencies.
  • Audio Transcription: Compare recordings with existing transcripts and identify missing words, transcription errors and language inconsistencies.
  • Data Labelling & Annotation: Label, categorise and review text, images and other data to support AI training.
  • Quality Assurance: Follow project guidelines and maintain high standards of accuracy and consistency.
Languages We’re Hiring For

We’re seeking contributors with native-level proficiency in one or more of the following languages:

  • Thai
  • French (France)
  • Vietnamese
  • Malay
  • Japanese
  • Korean
  • Indonesian
  • Arabic (Gulf)
  • Spanish (Mexico)
  • Portuguese (Brazil)
  • Tagalog
  • German
  • Dutch
  • Polish
  • Sweden

English proficiency at B2 level or above is also required.

Please indicate your strongest language and any additional languages you speak proficiently when applying.

Preferred Experience

Experience in one or more of the following areas is an advantage:

  • Large Language Model (LLM) or Vision-Language Model (VLM) evaluation.
  • Supervised fine-tuning (SFT), AI benchmarking or model response assessment.
  • Prompt-response evaluation and instruction-following assessment.
  • Multimodal AI, visual understanding or image-text alignment.
  • Audio transcription, speech evaluation or linguistic quality review.
  • Image annotation, data labelling or content moderation.
  • Search relevance, digital content evaluation or quality assurance.
  • Social media platforms or gaming-related terminology and content.

You don’t need experience in every area. Relevant experience in one or more fields may qualify you for suitable projects, depending on client requirements. A relevant degree is welcome, but candidates without one may still qualify by demonstrating their skills.

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