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

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.