Remote Generative AI Analyst (English US) — Freelance

Welo Global; United States; Remote; USD 17,000 - 25,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Global contributor community

Supportive resources

Job summary

Welo Data is seeking a Generative AI Analyst - English (US) to review, annotate, and evaluate AI-generated content across text, images, audio, and video. This remote freelance role offers flexible hours and exposure to diverse multilingual datasets.

You will follow detailed guidelines, perform quality checks, identify edge cases, and contribute to high-quality data used to train advanced AI models, while benefiting from a global contributor community and supportive resources. No coding required.

Qualifications

• Must have native-level English (US) proficiency.
• Excellent written English communication skills.
• Strong attention to detail and analytical thinking.
• Experience in annotation, content review, quality assurance, or data labeling.
• Ability to work independently and follow detailed guidelines.
• Experience with multilingual, multimedia, or AI-related content 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 guidelines.
• Identify edge cases, inconsistencies, and opportunities for improvement.
• Contribute to high-quality datasets used to train advanced AI models.
• Participate in calibration and quality alignment activities.
• Provide feedback to improve workflows and annotation guidelines.

Skills

Native English US

Strong writing

Attention to detail

Annotation experience

Independent with guidelines

Multilingual/AI content

Job description

Welo Data is seeking a Generative AI Analyst - English (US) to review, annotate, and evaluate AI-generated content across text, images, audio, and video. This remote freelance role offers flexible hours and exposure to diverse multilingual datasets.

You will follow detailed guidelines, perform quality checks, identify edge cases, and contribute to high-quality data used to train advanced AI models, while benefiting from a global contributor community and supportive resources. No coding required.