Great Value Hiring

11 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: Senior Software Engineer / Coding Expert
Job Description: **Job title** Senior Software Engineer / Coding Expert **Role Summary** Part‑time, project‑based engineering role focused on reviewing and validating AI‑generated code for feasibility, functionality, and test coverage. Independent contributor responsible for unit test design, Docker execution verification, and providing structured technical feedback. **Expectations** - Deliver ~20 hours of work per week on an as‑needed basis. - Work asynchronously, creating and following a personal schedule. - Blend of independent analysis and peer collaboration to raise code quality standards. **Key Responsibilities** - Review domain‑specific prompts and assess coding feasibility. - Validate Dockerfile execution and overall deployment readiness. - Design, implement, and maintain 40–60 unit tests per evaluation set. - Audit peer‑generated unit tests for completeness and robustness. - Execute tests, analyze results, and confirm code performance and reliability. - Provide clear, structured feedback on technical strengths and improvement areas. **Required Skills** - 6+ years of professional software engineering experience. - Deep expertise in backend or full‑stack development. - Proficiency in automated testing frameworks and unit test design. - Strong debugging and technical feasibility assessment skills. - Docker knowledge and experience with containerized environments. - Detail‑oriented, analytical mindset with excellent communication. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - Relevant certifications (e.g., Docker Certified Associate, ISTQB) are advantageous but not mandatory.

Company Name: Great Value Hiring
Job Title: Nursing Specialist
Job Description: **Job Title:** Nursing Specialist **Role Summary:** Provide expert nursing oversight for the development and evaluation of medical AI workflows, ensuring clinical accuracy, safety, and alignment with best practices. **Expectations:** - 3+ years of direct patient‑care or clinical review experience. - Remote, self‑scheduled work; full‑time availability for project milestones. - Ability to review complex medical content, give actionable feedback, and communicate findings to technical and non‑clinical stakeholders. **Key Responsibilities:** - Review and validate clinical content, scenarios, and annotations used in AI training pipelines. - Evaluate model outputs for medical relevance, accuracy, and patient‑care implications. - Recommend modifications to align with current clinical guidelines, best practices, and safety protocols. - Develop realistic clinical use cases and question sets to sharpen AI model performance. - Convey insights, risks, and recommendations clearly to multidisciplinary teams. **Required Skills:** - Proficient in nursing terminology, procedures, and standards of care. - Experienced in clinical documentation, case review, or similar evaluative tasks. - Strong analytical and critical‑thinking abilities. - Excellent written and verbal communication, with meticulous attention to detail. - Self‑motivated, disciplined remote work ethic. **Required Education & Certifications:** - Bachelor’s degree or higher in Nursing, Nursing Education, or a related medical field. - Current nursing license (RN) or equivalent professional certification (MD, PhD, MSN, DNP, etc.). ---

Company Name: Great Value Hiring
Job Title: Software Engineer (Code QA)
Job Description: Job title: Software Engineer (Code QA) Role Summary: Design, craft, and evaluate realistic developer prompts for AI code QA systems. Generate authentic scenario content from real pull requests, write technically accurate model responses, and ensure high-quality reasoning and explanation across categories such as code review, debugging, error diagnosis, and configuration. Expectations: - Deliver prompt sets and response examples that meet AI training quality standards. - Maintain consistency, clarity, and technical accuracy in all written materials. - Collaborate with research teams to incorporate cutting‑edge AI methodologies. - Uphold rigorous version control and documentation practices. Key Responsibilities: - Create and refine prompts for code QA tasks (review, debugging, diagnostics, configuration). - Source and adapt real pull‑request content to build authentic scenarios. - Write clear, detailed model responses demonstrating strong reasoning and explanations. - Validate and test generated content for correctness and relevance. - Participate in continuous improvement of prompt engineering workflows. Required Skills: - 2+ years in software engineering, technical research, or educational content development. - Proficiency in Python, JavaScript, Java, or C++. - Experience in debugging, testing, and validating code. - Strong technical writing skills with meticulous attention to detail. - Ability to translate complex code concepts into clear instructional prompts. Required Education & Certifications: - Bachelor’s degree in Software Engineering, Computer Science, or related field (advanced degree preferred).

Company Name: Great Value Hiring
Job Title: Machine Learning Engineer
Job Description: Job title: Machine Learning Engineer Role Summary: Design and develop robust evaluation suites for AI performance on real‑world machine learning engineering tasks, assessing solutions in model training, debugging, optimization, and experimentation. Expectations: 3+ years of experience in machine learning engineering or applied ML research, strong background in industry or academic ML research, proven ability to reason about ML system design trade‑offs, and excellent written communication skills. Key Responsibilities: - Design, author, and maintain detailed evaluation suites targeting ML engineering workflows. - Evaluate AI‑generated solutions for model training, debugging, optimization, and experimentation. - Collaborate with cross‑functional teams to gather requirements and translate them into artifact specifications. - Continuously refine evaluation metrics and test cases based on feedback and emerging best practices. - Document design decisions, methodologies, and findings clearly for technical and non‑technical stakeholders. Required Skills: - Proficiency in Python, libraries such as scikit‑learn, TensorFlow/PyTorch, and evaluation frameworks. - Hands‑on experience with model development, hyperparameter tuning, and performance benchmarking. - Strong understanding of ML pipeline components, data pipelines, and deployment considerations. - Ability to articulate trade‑offs between accuracy, efficiency, scalability, and interpretability. - Effective written and verbal communication in English, with high attention to technical detail. Required Education & Certifications: - Bachelor’s or higher degree in Computer Science, Data Science, Machine Learning, or related field preferred. - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are a plus.

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