Technical AI Evaluation Specialist (Code & Software Engineering)

1. 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).

2. 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.

3. CANDIDATE PROFILE & QUALIFICATIONS

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.

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). • Language & Communication: C1-equivalent professional English proficiency with exceptional technical articulation and defensive writing discipline.

📌 Technical AI Evaluation Specialist (3 Months Contractual) (India)
🏢 Innodata India
📍 India