Software Engineering & DevOps AI Rater/Evaluator

LILT (Production)•Foxborough, MA

About The Position

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. Track A: Software Engineering & DevOps AI Rater Raters execute structured evaluation tasks using clearly defined rubrics and instructions. Track B: Software Engineering & DevOps AI Evaluator (Senior Track) Evaluators provide higher-level technical oversight and help shape how evaluation is performed. 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 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.

Requirements

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
Native or professional fluency in one or more supported languages is required
Supported languages span 30+ global languages
English fluency is required for guidelines, feedback, and collaboration

Nice To Haves

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
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

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
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