Great Value Hiring

12 Jobs

1 Employees

About the Company

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.

Listed Jobs

Company Name: Great Value Hiring
Job Title: Backend Software Engineer: Python
Job Description: Job Title: Backend Software Engineer: Python Role Summary: Design, develop, and maintain Python‑based coding benchmarks for AI research projects, ensuring high quality, reproducibility, and scalability across diverse real‑world data sets. Expectations: - Immediate start, 1‑month contract, part‑time (15–20 hrs/week) - Fully remote, asynchronous schedule with flexible hours Key Responsibilities: - Curate issues, solutions, and test suites from open‑source repositories to build benchmark tasks. - Implement comprehensive unit and integration tests for each benchmark to validate solution correctness. - Maintain benchmark task consistency and scalability for distribution to developers and researchers. - Provide structured, constructive feedback on solution quality and code clarity. - Debug, optimize, and document benchmark code for reliability and reproducibility. Required Skills: - 3–10 years of backend development, machine‑learning engineering, or applied data science experience. - Strong proficiency in Python and related libraries. - Expertise in code debugging, unit testing, and performance optimization. - Excellent technical writing and attention to detail. - Ability to work independently and communicate effectively in a remote, asynchronous team. Required Education & Certifications: - Bachelor’s degree (or higher) in Software Engineering, Computer Science, or a closely related field. ---

Company Name: Great Value Hiring
Job Title: Backend Software Engineer: Go
Job Description: **Job title:** Backend Software Engineer: Go **Role Summary:** Part‑time backend engineer tasked with designing, validating, and maintaining coding benchmarks in Go to support AI research collaborations. **Expectations:** * Deliver reliable, scalable benchmark tasks within a 1‑month project deadline. * Provide technical feedback on benchmark quality and maintain thorough documentation. **Key Responsibilities:** * Curate real‑world Go issues, solutions, and test suites into benchmark tasks. * Create comprehensive unit and integration tests for solution verification. * Ensure consistency, scalability, and proper distribution of benchmark tasks. * Debug, optimize, and document benchmark code for reliability and reproducibility. * Offer structured feedback on solution quality and clarity. **Required Skills:** * 3–10 years of backend, ML engineering, or applied data science experience. * Strong proficiency in Go, including debugging, testing, and validation. * Technical writing ability with high attention to detail. * Comfortable handling asynchronous, remote work. **Required Education & Certifications:** * Bachelor’s degree in Software Engineering, Computer Science, or related field. (Higher degrees or industry certifications are a plus.)

Company Name: Great Value Hiring
Job Title: Mechanical Engineer
Job Description: Job Title: Mechanical Engineer Role Summary: Work independently on a research project for a leading AI company, designing role‑specific questions to support AI training. The position is fully asynchronous with a minimum commitment of 15 hours per week. Expectations: - 15+ hours weekly, schedule flexible. - Full‑time, 4+ years experience as a Mechanical Engineer. - Desktop or laptop computer required (chromebooks not accepted). - Not open to H1‑B or STEM OPT candidates. Key Responsibilities: - Develop clear, job‑pertinent questions for AI data collection. - Review and refine technical prompts to ensure industry relevance. - Collaborate remotely with research and data teams. - Provide feedback on question effectiveness and data quality. Required Skills: - 4+ years full‑time mechanical engineering experience. - Solid knowledge of mechanical engineering fundamentals and industry practices. - Strong analytical and writing skills; capability to translate technical content into concise questions. - Self‑directed, reliable work habits in an asynchronous setting. - Proficiency with desktop/laptop computers (Windows/macOS). Required Education & Certifications: - Bachelor’s degree or higher in Mechanical Engineering (or related field). - Professional Engineer (PE) license not required but a plus.

Company Name: Great Value Hiring
Job Title: Quantitative Traders
Job Description: Job title: Quantitative Trader Role Summary: Develop, test, and refine high‑frequency trading (HFT) algorithms and quantitative models in collaboration with AI researchers. Apply advanced mathematics, statistics, and computer science to improve execution speed, accuracy, and profitability across multiple asset classes. Expectations: • Deliver robust, profitable trading strategies that operate in low‑latency environments. • Contribute to AI model training, ensuring realistic market dynamics and risk management. • Participate in scheduled 4‑hour collaboration sessions 2–3 times per week. • Commit to 20–30 work hours weekly, including synchronous sessions. Key Responsibilities: • Design, train, and validate HFT strategies and quantitative models. • Apply statistical, probabilistic, and optimization techniques to enhance model stability and execution performance. • Evaluate trading frameworks for robustness and multi‑asset profitability. • Fine‑tune AI systems to capture order‑book behavior and high‑frequency risk factors. • Debug models, review simulations, and share insights during collaborative sessions. • Optimize trade execution latency and infrastructure performance. Required Skills: • Deep knowledge of market microstructure, HFT systems, and time‑series analysis. • Proficiency in Python, C++, Julia, R, or Rust. • Experience with simulation platforms, trading infrastructure, latency optimization, or machine‑learning modeling. • Strong analytical reasoning, quantitative modeling, and problem‑solving skills. • Excellent written and verbal communication; team collaboration. • Ability to work independently and manage a flexible schedule. Required Education & Certifications: • Bachelor’s or higher degree in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or related quantitative field. • Professional certifications (e.g., CFA, FRM, or relevant quantitative courses) preferred but not mandatory.

United states

Remote

01-12-2025

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