Home Based Machine Learning Qa Jobs (NOW HIRING)

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. They are seeking a Go Quality Assurance Lead to oversee quality and consistency in Go AI training projects, ensuring that outputs meet project guidelines and quality standards. The role involves reviewing AI-generated Go code, providing feedback, and managing communications with trainers and QAs.
Responsibilities:
• Quality monitoring: Spot-check Go items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Code review: Evaluate AI-generated Go code, debugging responses, backend snippets, concurrency examples, tests, API implementations, and technical explanations for correctness and clarity.
• Trainer and QA communication: Update trainers/QAs on Discord about guideline changes, workflow updates, and Go-specific quality expectations.
• Question handling: Respond to trainer/QA questions around Go syntax, concurrency, error handling, context usage, interfaces, testing, performance, security, and rubric interpretation.
• Trainer/QA activation management: DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Documentation: Create and maintain Go style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with contributors to explain project expectations, workflows, rubrics, and Go review standards.
• Risk and security review: Flag insecure, misleading, non-compilable, race-prone, or non-production-ready Go recommendations.
• Process improvement: Identify recurring quality gaps and help build scalable QA processes for Go AI training projects.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional software engineering experience.
• Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
• 3+ years of professional experience in Go development, backend engineering, cloud services, distributed systems, DevOps tooling, code review, software QA, or technical mentoring.
• Strong understanding of Go fundamentals such as goroutines, channels, interfaces, structs, methods, slices, maps, pointers, error handling, context, packages/modules, testing, and idiomatic Go style.
• Ability to evaluate Go content against detailed rubrics and identify issues such as non-compilable code, incorrect concurrency patterns, goroutine leaks, race conditions, poor error handling, inefficient logic, hallucinated APIs, or incomplete explanations.
• Comfortable working in fast-moving remote environments using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
Preferred:
• Familiarity with common Go tools and ecosystems such as go test, gofmt, go vet, race detector, Go modules, HTTP servers, REST APIs, gRPC, Docker, Kubernetes, SQL drivers, GitHub, CI/CD, and cloud-native workflows.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, coding mentors, or QAs.
• Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.