Subject Matter Expert – Qualtative/Scientific/Corporate (English/Mandarin) – Remote at LILT (Production)

ABOUT THE OPPORTUNITY

We are looking for experienced professionals to support a cutting-edge AI benchmarking project focused on highly specific professional silos. Candidates will need demonstrable background or academic exposure in at least one of these verticals:

Highly Technical / Quantitative: Software Eng., Mathematics, Robotics.
Scientific / Regulatory: Healthcare (clinical parameters), Natural Science (chemistry/physics datasets), Manufacturing (industrial systems, CAD, optimization).
Corporate / Creative: Finance, Media & Content, Office & White Collar.

The ideal candidate is not a traditional translator. They are a Technical Subject Matter Expert (SME) / AI Engineerwho has localized fluency in one of the target languages. They must be capable of understanding, refactoring, and verifying code execution within a sandboxed environment, while simultaneously possessing deep contextual domain knowledge.

WHAT YOU’LL DELIVER

Design realistic scenarios in your target language or English grounded in operational contexts
Adapt structured evaluation rubrics
Review AI and human-generated responses for factual accuracy, quality, cultural appropriateness, and operational realism
Contribute to “gold standard” solutions reflecting best practices across the target locale and domain

QUALIFICATIONS

Native-level of the target language with strong professional English proficiency
5+ years of professional experience in the target domain
Background in one or more relevant to the domain positions
Strong understanding of domain workflows and environments

WHY COLLABORATE WITH LILT?

HOW TO JOIN OUR EXPERT COMMUNITY

Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain.

Step 2: Register in Tipalti to ensure a smooth payment process

Step 3: Finalize onboarding and join the Production team

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.

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 recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Subject Matter Expert – Qualtative/Scientific/Corporate (English/Mandarin) – Remote