Great Talent. Great Value. Great Hiring.
new delhi
We started "Great Value Hiring" with a simple idea: to make meaningful connections. In a world of job boards and automated systems, we wanted to build a business that puts people first. We are a talent solutions company passionate about bringing together great companies and exceptional individuals. We believe that the right job can transform a person's life and that the right hire can transform a business. Our focus is on creating win-win scenarios where both companies and candidates can achieve their full potential. We're not limited to a single industry or type of role. Our broad focus allows us to serve a diverse range of clients and candidates, from entry-level positions to executive roles. Our goal is simple: to make the hiring process as efficient and effective as possible. For us, it's not just about a single placement. It's about building long-term relationships and fostering a community where companies can grow and job seekers can find their calling. We're excited to be your partner on this journey.
On-site
Review datasets and task outputs for accuracy, completeness, and compliance with guidelines, identifying inconsistencies and deviations. Apply evaluation rubrics consistently, document decisions in ambiguous cases, escalate recurring issues, and provide actionable feedback.
On-site
Build reproducible task environments, prepare data and dependencies, implement reference solutions, and create tests that distinguish correct solutions from flawed ones. Evaluate coding agents, investigate failures, refine tasks, identify correctness issues, and document requirements, reasoning, and verification steps.
On-site
Evaluate AI-generated code for correctness, quality, and design, and create challenging coding problems with reference solutions and test cases. Review model reasoning on architecture, debugging, and system design, and provide detailed technical feedback to improve model performance.
On-site
Evaluate AI model outputs on data science, statistics, machine learning, and quantitative problems. Create expert prompts, datasets, and reference solutions, identify errors in methodology and reasoning, and provide structured feedback to improve model performance.
On-site
Create challenging mobile coding tasks for frontier AI models, including realistic debugging, feature development, state and lifecycle handling, and performance improvement problems. Define reproducible environments and deterministic verifiers for each task, and provide a reference solution.
On-site
Create realistic, challenging coding tasks for AI involving feature implementation and bug fixes, and build deterministic verifiers that accept valid solutions and reject invalid ones. Complete tasks that meet project specifications under an output-based compensation model.
On-site
Review datasets and task outputs for accuracy, completeness, and compliance with guidelines, identifying and escalating errors and recurring issues. Apply evaluation rubrics consistently, document decisions in ambiguous cases, and provide clear feedback with suggested resolutions.
Remote · Canada
The role involves analyzing and resolving software vulnerabilities while implementing new features across various programming languages. Additionally, the engineer will perform codebase audits, penetration testing, and contribute to backend development to optimize performance and security.