Role Overview
Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. As a Generative AI Analyst, you will independently review machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.
What You Will Do
Review English source documents alongside two machine-generated Hungarian translations, evaluate both variants, select the preferred translation, and provide a written justification for your assessment.
Why It Might Be a Fit
This role requires strong attention to detail, good reading comprehension, and strong written communication skills in English and Hungarian. You will have the opportunity to work on a project-based schedule with complete autonomy and flexibility.
Requirements
Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field.
Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos.
Good reading comprehension and ability to accurately compare written prompts against visual outputs.
Strong written communication skills in English and Hungarian, with the ability to describe errors clearly and concisely.
Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks.
Critical thinking and sound judgment when reviewing ambiguous or complex scenarios.
Basic understanding of robotics behavior in real-world environments.
Comfortable working in structured annotation platforms or similar tools.
Ability to maintain focus and quality while reviewing multimedia content for extended periods. Benefits
Limitless Flexibility
Limitless Growth
Limitless Support
Real Impact
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
