ROLE OVERVIEW & OBJECTIVE:

We are seeking rigorous Technical AI Evaluation Specialists to benchmark, evaluate, and align frontier Large Language Models (LLMs) specialized in code generation, multi-turn technical reasoning, and software architecture. In this role, you will analyze model-generated code against strict correctness, complexity, security, and UI fidelity standards across text-to-code, image-to-code, and side-by-side (SxS)

comparison tasks. You will be responsible for uncovering subtle failure modes, edge-case vulnerabilities, and producing evidence-based,

defensible rationales to guide model fine-tuning and Reinforcement Learning from Human Feedback (RLHF).

KEY RESPONSIBILITIES & CORE WORKFLOWS

- Model-Generated Code Evaluation: Evaluate AI-generated code for syntactical validity, execution accuracy, algorithmic complexity,

and architectural best practices across diverse languages.
- Image-to-Code & UI Verification: Assess model capability in rendering pixel-perfect, responsive front-end components from

wireframes, mockups, and UI design screenshots.
- Text-to-Code & Pairwise Analysis: Perform rigorous side-by-side (SxS) evaluations to determine model preference, scoring

completions against granular multi-dimensional rubrics.
- Failure Mode & Edge Case Reasoning: Stress-test model completions against corner cases, boundary conditions, race conditions,

memory leaks, and input sanitization vulnerabilities.
- Evidence-Based Rationales: Write authoritative,



structured C1-level technical rationales explaining exact point deductions, execution

trace errors, and counterfactual fixes.
- Guideline Calibration & Feedback: Collaborate with research engineers and prompt authors to refine evaluation rubrics, establish

baseline test harnesses, and identify emerging model degradation patterns.

Mandatory Requirements:

- Experience: 2+ years of professional software development

experience OR a strong Computer Science / Software Engineering degree with demonstrable coding proficiency.
- Front-End / UI Exposure: Hands-on experience translating

design mockups to responsive front-end code (HTML5, modern CSS, React, or TypeScript frameworks).
- Code Review & RLHF Exposure: Proven background in

structured code reviews, automated testing, or prior experience in AI model evaluation/RLHF pipelines.
- Language & Communication: C1-equivalent professional English

proficiency with exceptional technical articulation and defensive writing discipline.

Preferred Qualifications:

- Multi-Language Fluency: Solid capability in Python,

JavaScript/TypeScript, Java, C++, or Go, with an aptitude for rapidly reading and debugging unfamiliar frameworks.
- DevOps & Tooling: Familiarity with Git, Docker, CI/CD pipelines,

AST parsers, or static code analysis tools.
- Advanced CS Foundations: Deep understanding of data

structures, algorithms, concurrency, and secure coding practices (OWASP Top 10).

📌 Technical AI Evaluation Specialist (Noida)
🏢 Innodata India
📍 Noida