Remote Latvian Generative AI Analyst

Welocalize, Inc.; United States; Remote; USD 9,600 - 12,000; Full time

Job summary

Welocalize, Inc. is seeking a Generative AI Analyst (Latvian) for a remote, 4-week freelance engagement. You will review, annotate, and quality-check AI outputs across text, images, audio, and video to help build multilingual AI datasets.

Required are native Latvian and strong English, plus detail orientation and ability to follow guidelines. Prior annotation, localization, or data-labeling experience is highly valued, with fully remote work options available.

Qualifications

• Native-level proficiency in Latvian.
• Strong written communication skills in English.
• Excellent attention to detail and analytical thinking.
• Experience in annotation, content review, quality assurance, data labeling, localization, or related fields.
• Ability to work independently and follow detailed guidelines.
• Experience working with multilingual, multimedia, or AI-related content is highly preferred.

Responsibilities

• Review, evaluate, and annotate AI-generated content across text, images, audio, and video.
• Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines.
• Identify edge cases, inconsistencies, and opportunities for improvement.
• Contribute to the development of high-quality datasets used to train advanced AI models.
• Participate in calibration and quality alignment activities.
• Provide feedback to help improve workflows and annotation guidelines.

Skills

Latvian (native)

English proficiency

Attention to detail

Annotation experience

Quality assurance

Localization

Job description

Welocalize, Inc. is seeking a Generative AI Analyst (Latvian) for a remote, 4-week freelance engagement. You will review, annotate, and quality-check AI outputs across text, images, audio, and video to help build multilingual AI datasets.

Required are native Latvian and strong English, plus detail orientation and ability to follow guidelines. Prior annotation, localization, or data-labeling experience is highly valued, with fully remote work options available.