Field Engineer

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August 25

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Welocalize

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Artificial Intelligence • Enterprise • SaaS

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. • As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span annotation, labelling, LLM enhancement, data collection, and relevance evaluation. • Serve as a technical bridge and advisor between quality, ops, sales, and engineering teams. • Troubleshoot and optimize enterprise integrations. • Plan and execute complex technical solutions that support customer and internal team success. • Consult with customers and internal teams on best practices for platform use, automation, and data quality. • Create self-serve solutions that empower internal teams to handle common technical tasks independently. • Design and implement programmatic quality checks to improve data consistency and accuracy.

🎯 Requirements

• 2+ years of engineering experience, ideally in a client-facing setting. • Curiosity and desire to learn • Bachelor's degree with an engineering or analytics focused field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience. • Hands-on experience in ML lifecycle applications, data management, and data wrangling. • Python Experience with C# is a plus. • Understanding of NLP concepts and techniques would be a plus. • Passion for AI and ML technologies, with a history of exploring new concepts and technique.