AI Training @ LILT (Production) - Customer Service & Support AI Rater & Evaluator
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Requirements
• Native speaker of one of the listed languages • University degree (preferably Masters, PhD level) in Communications, Marketing, Psychology, Sociology, IT or relevant fields • Proven professional experience in Contact Center QA • Strong grasp of Contact Center terminology and industry practices • How to apply: • Please submit your CV in English highlighting your Contact Center QA background, professional and educational experience. • Rates may vary depending on several factors, including: • Level of expertise and education (e.g., Masters Degree holders may qualify for higher rates) • Geographic location • Specific project requirements and urgency • Our Story • Our Story • Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. • LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. • With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. • Our Tech • Our Tech • What sets our platform apart: • Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent • Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing • 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation • Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review • LILT in the News • LILT in the News • Featured in The Software Report’s Top 100 Software Companies! • LILT makes it onto the Inc. 5000 List. • LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. • Check out all our news on our website. • Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. • At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [email protected].
Responsibilities
• Evaluate AI outputs related to customer service and support interactions • Perform structured scoring, comparison, classification, and judgment tasks • Assess accuracy, clarity, tone, helpfulness, and alignment with support best practices • Identify hallucinations, misleading responses, policy violations, or unsafe guidance • Ideal Background • Customer support professionals, service operations specialists, or CX practitioners • Experience handling customer inquiries, support workflows, or service escalation • Strong attention to detail and comfort working with structured evaluation criteria • Track B: Customer Service & Support AI Evaluator (Senior Track) • Evaluators provide higher-level domain oversight and help shape how evaluation is performed. • Validate and refine evaluation rubrics and edge-case handling • Perform adjudication where raters disagree • Conduct error analysis and qualitative reviews of model behavior • Partner with LILT research, product, and customer teams on evaluation design • Support red-teaming, policy alignment, and model readiness assessments • Ideal Background • Senior support leaders, CX managers, or service quality specialists • Experience defining support standards, reviewing complex edge cases, or managing escalations • Ability to clearly explain nuanced service decisions and tradeoffs
Benefits
• Salary up to $100.00 per hour* with potential for increased hours and extension based on several factors including level of expertise, education results from skills assessments, geographic location specific project requirements urgency. (Note: The exact salary is not fixed but the maximum rate provided.) • Remote work options as stated in "Location: Remote" within the job posting.
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