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 software engineering and DevOps 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 software systems infrastructure and development practices work in real production environments and who can apply that expertise to evaluate assess and improve multilingual AI systems.
Your contribution of expertise will directly influence multilingual AI model quality safety and deployment readiness.
This role includes two distinct expert tracks based on experience level and scope of responsibility.
Raters execute structured evaluation tasks using clearly defined rubrics and instructions.
Responsibilities
Evaluate AI outputs related to software engineering DevOps and infrastructure topics
Perform structured scoring comparison classification and judgment tasks
Assess technical correctness completeness security implications and best-practice alignment
Identify hallucinations incorrect code unsafe recommendations or misleading system guidance
Apply domain-specific engineering and DevOps guidelines consistently across tasks
Ideal Background
Software engineers site reliability engineers DevOps engineers or platform engineers
Experience with production systems CI/CD pipelines cloud infrastructure or distributed systems
Strong attention to detail and comfort working with structured evaluation criteria
Evaluators provide higher-level technical oversight and help shape how evaluation is performed.
Responsibilities
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 security review and model readiness assessments
Ideal Background
Senior software engineers DevOps leads SREs or technical architects
Experience defining technical standards reviewing complex edge cases or advising on system design and reliability
Ability to clearly explain nuanced technical reasoning and tradeoffs
Types of AI Evaluation Work
Depending on project demands work may include:
Software engineering and infrastructure content evaluation
Code correctness and reasoning assessment
DevOps CI/CD and cloud architecture evaluation
Security and reliability-focused red-teaming
Ongoing model monitoring and regression testing
What We Look For
Deep domain expertise in software engineering DevOps or infrastructure
Strong technical judgment and ability to apply criteria consistently
Comfort working with structured evaluation workflows
Ability to explain reasoning clearly especially in complex or high-risk technical scenarios
Reliability professionalism and respect for quality standards
Engagement Model
Contract-based flexible participation
Project-based work with clear expectations and timelines
Opportunities for recurring work based on performance and demand
Compensation communicated upfront per project or task type
Why This Work Matters
Your expertise helps ensure that AI systems:
Provide accurate and safe technical guidance
Align with real-world engineering and DevOps best practices
Are reliable secure and trustworthy across languages
Language Requirements
Native or professional fluency in one or more supported languages is required
Supported languages span 30 global languages
Language-specific nuance is assessed through screening and task-based evaluation not separate job descriptions
English fluency is required for guidelines feedback and collaboration
AI is changing how the world communicates and LILT is leading that transformation.
LILTs mission is to make the worlds 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 communityall 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 LILTs Privacy Policy 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
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individuals 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.
Required Experience:
IC
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