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.

Languages We’re Hiring For

We are seeking native-level language specialists who currently reside in the relevant country and have strong language skills, cultural awareness and professional experience.

• Languages and locations: Thai (Thailand), French (France), Vietnamese (Vietnam), Malay (Malaysia), Japanese (Japan), Korean (South Korea), Indonesian (Indonesia), Gulf Arabic (eligible Gulf countries), Spanish (Mexico and Spain), Portuguese (Brazil and Portugal), Tagalog (Philippines), German (Germany), Dutch (Netherlands), Polish (Poland), Swedish (Sweden) and Russian (Kazakhstan).

English proficiency at B2 level or above is also required.

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

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.

Project activities may include:

• Evaluating AI-generated responses for accuracy, reasoning and relevance.
• Reviewing Large Language Models (LLMs) and Vision-Language Models (VLMs).
• Performing image annotation, data labelling and visual content evaluation.
• Assessing language quality, grammar, cultural relevance and regional nuances.
• Supporting AI training, benchmarking and supervised fine-tuning (SFT).

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.