Jobs at Xperteez Technology

Contribute expert-level code samples, implement and optimize features, debug complex defects, refactor legacy code, document technical decisions for AI training, and review peer submissions across Python3, Java, Rust, Go, C++, and TypeScript codebases in a part-time remote contract role.

Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative problems. Develop expert prompts, datasets, and reference solutions; identify statistical and methodological errors; and provide structured feedback to improve model performance. The role requires Python, machine learning, statistics, data analysis, experimentation, Pandas, and data modeling skills.

Annotate and evaluate datasets to train and validate AI systems. The Generalist reviews model outputs, provides clear written feedback, solves cross-domain problems, follows project guidelines, and supports quality assurance. Strong critical thinking, communication, attention to detail, and independent remote collaboration are required. Prior AI or annotation experience is not necessary, though labeling experience is preferred.

Create prompts and evaluate responses from ChatGPT and Claude to support AI model training. Record screen and audio while comparing outputs, provide structured verbal and written feedback, interpret documentation, and follow project guidelines. The role requires fluent American English, strong critical thinking, attention to detail, analytical reasoning, and a reliable recording setup. Prior AI experience is not required, though experience with language models, evaluation, annotation, quality assurance, or research is advantageous.

Build and review full-stack software environments for AI training. Develop frontend and backend features, integrate APIs, debug issues across UI and data layers, improve code quality, document technical reasoning, and review peer submissions. The role requires frontend and backend development experience with frameworks such as React or Angular and stacks including Node.js, Python, Java, or Go. Prior AI experience is not required.

Build and maintain responsive, accessible front-end interfaces using React, React Native, HTML, CSS, and Shopify. Apply UX/UI principles, collaborate with designers and multidisciplinary teams, provide clear technical feedback, and independently deliver high-quality work on complex technology or AI-related projects. Contractors complete output-based tasks and must meet weekly minimum submission requirements, with an expected start within 24–48 hours of onboarding.

Analyze native FreeCAD multi-part assemblies and author precise, verifiable technical question-and-answer sets for AI training. Apply mechanical engineering expertise to evaluate geometry, assembly relationships, engineering function, and drawing interpretation. Produce technically accurate written content, document ambiguities, communicate asynchronously, incorporate feedback, and deliver assessment-ready materials with exceptional attention to detail.

Develop and maintain full-stack applications using Python, JavaScript, and TypeScript. Build REST APIs, microservices, backend services, responsive web interfaces, and third-party integrations. Translate business requirements into technical solutions, contribute throughout the software development lifecycle, write maintainable code, use AI-powered development tools, and participate in Agile/Scrum ceremonies. The role requires database experience, software architecture knowledge, Git proficiency, analytical skills, and B2-level English.

Provides empathetic, efficient customer support across multiple channels; documents interactions in CRM software; analyzes issues and proposes solutions; applies product knowledge to educate users; shares customer feedback and sentiment trends; develops support documentation; and supplies scenario-based input to train AI systems. Requires at least three years of professional customer support experience, strong communication and problem-solving skills, CRM proficiency, and experience managing complex cases.

Build and maintain data quality frameworks, rules, pipelines, integrations, validation checks, anomaly detection, and reporting across modern data platforms. Define quality KPIs, integrate quality monitoring into CI/CD, collaborate with engineering and German-speaking clients, and explore AI/ML-assisted approaches to profiling and intelligent rule generation. The role may also involve data observability, DevOps, production operations, and consulting project delivery.

Evaluate and annotate AI-generated outputs involving CRM workflows, sales processes, and automation logic. Apply rubrics consistently, assess CRM data and user interactions, document sales operations practices, identify process improvements, and provide actionable feedback to AI development stakeholders. The role requires hands-on CRM and sales operations expertise, experience with CRM platforms, and prior paid human data work such as annotation, labeling, RLHF, or model evaluation.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Analyze product and design challenges; explain design and frontend trade-offs; create design documents, usability reports, research summaries, RFCs, and ADRs; evaluate Figma-based design systems, accessibility, and frontend architecture; synthesize complex information; and provide structured expert feedback on project artifacts. The role supports AI training through high-quality analytical and explanatory work.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Analyzes computer systems and business processes, gathers and validates stakeholder requirements, models workflows using BPMN or UML, and uses SQL for data analysis and troubleshooting. The role supports process optimization, technical issue resolution, virtual collaboration, and validation of AI training data and scenarios for customer projects.

Design, simulate, verify, and validate analog, digital, power, mixed-signal, or RF circuits for an AI training project. Translate requirements into schematics, netlists, HDL, models, and simulation inputs; automate workflows with Python; analyze electrical results; perform corner and Monte Carlo analyses; compare simulations with physical measurements; troubleshoot hardware and review AI-generated circuit solutions. Requires real fabricated or shipped circuit-design experience and command-line or programmatic EDA expertise.

The Configuration Manager will establish and mature ITIL v4 configuration management practices across enterprise infrastructure and network environments. Responsibilities include defining configuration items and dependencies, managing baselines and version control, integrating CMDB and discovery tools, automating data collection and validation, supporting SRE and service management processes, developing governance documentation, tracking configuration KPIs, supporting audits, and coordinating across engineering, operations, security, and service management teams.

Design, deploy, and operate security solutions across cloud and on-premises environments, with a focus on GCP. Perform security engineering, scripting, monitoring, incident triage, troubleshooting, remediation, documentation, and control implementation. Support IAM, cloud networking, security posture management, DevSecOps, CI/CD security, and infrastructure-as-code hygiene while contributing to projects and cross-team collaboration.

Conduct quantitative and qualitative research, analyze complex business scenarios, gather requirements, and synthesize stakeholder perspectives into actionable recommendations. Evaluate data using tools such as Excel or SQL, identify process improvements, and produce clear reports, memos, business cases, and documentation. Collaborate with stakeholders through written communication and contribute analytical content to help train AI systems.

Work with clients and stakeholders to analyze business needs and document current and future-state processes. Facilitate workshops, gather requirements, create user stories and functional documentation, and support workflow, low-code, and automation projects. Participate throughout the solution lifecycle, including testing, demos, and presentations. Collaborate with developers, architects, QA, and project teams across multiple international consulting projects.