LILT is building a global network of domain experts to support high-quality AI evaluation across training, benchmarking, red-teaming, and ongoing model monitoring. We are seeking finance and investment professionals to contribute expert judgment to human-in-the-loop AI evaluation workflows used by leading enterprises and hyperscalers. This role is designed for professionals who understand how financial, investment, and economic information is used in real-world decision-making and who can apply that expertise to evaluate, assess, and improve multilingual AI systems. Your contribution of expertise will directly influence our multilingual AI model’s quality, safety, and deployment readiness. This role includes two distinct expert tracks, based on experience level and scope of responsibility. Track A: Finance & Investment AI Rater Raters execute structured evaluation tasks using clearly defined rubrics and instructions. Track B: Finance & Investment AI Evaluator (Senior Track) Evaluators provide higher-level domain oversight and help shape how evaluation is done. Depending on project demands, work may include: Financial and investment content evaluation Market data interpretation and economic reasoning assessment Benchmarking and comparative model analysis Red-teaming and risk-focused evaluation Ongoing model monitoring and regression testing AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
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Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
251-500 employees