Multilingual AI Evaluation and Data Annotation Specialist

Contribute to flexible, project-based AI evaluation, transcription and data annotation work for technology companies. Tasks vary by project and support AI accuracy, language understanding and content quality.

What you'll do

• Evaluate AI-generated responses for accuracy, reasoning, relevance, clarity and instruction following.
• Review large language models and vision-language models, including image-text interpretation and visual content.
• Compare audio recordings with transcripts and identify errors, omissions and language inconsistencies.
• Label, categorise and review text, images and other data for AI training.
• Assess grammar, language quality, cultural relevance and regional nuances.
• Follow project guidelines and support quality assurance, benchmarking or supervised fine-tuning as needed.

Languages and locations

Native-level proficiency and current residence in the relevant location are required:

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

English proficiency at B2 level or above is also required. Indicate your strongest language and any additional languages you speak proficiently.

Requirements and preferred experience

Contributors should have strong language skills, cultural awareness and professional experience. Experience in one or more relevant areas is an advantage; experience in every area is not required. Suitable backgrounds include AI model evaluation, benchmarking, supervised fine-tuning, multimodal evaluation, transcription, speech or linguistic review, data labelling, content moderation, search relevance, digital content evaluation or quality assurance. Familiarity with social media or gaming content is also useful.

A relevant degree is welcome but not essential if you can demonstrate your skills. Project suitability depends on client requirements.