Jobs at Xperteez Technology

Design, tune, model, validate, and deploy classical and advanced control systems on physical hardware such as robotics, drones, automotive, and industrial systems. Develop plant models, implement control algorithms in Python and open-source tools, analyze performance, document decisions, and collaborate remotely with interdisciplinary teams.

Optimize GPU kernels using CUDA and profiling tools to improve computational throughput across modern hardware. Refactor C++ and CUDA code, implement GLSL and WebGPU shader workflows, analyze performance bottlenecks, document optimization findings, and collaborate with stakeholders on GPU-based approaches and metrics.

Reconstructs and enhances PowerPoint presentations, designs visual stories and data visualizations, edits content, and improves slide structure and clarity. The specialist analyzes complex materials, provides constructive feedback, and collaborates remotely to deliver polished presentation assets. They also contribute consulting expertise and real-world examples to support the training and evaluation of AI models.

Reconstruct executive sales, revenue, and go-to-market presentations in Microsoft PowerPoint. Improve visual storytelling, message hierarchy, data visualization, content clarity, and executive-ready aesthetics while preserving effective elements. Document the rationale for every change and omission, assess slide effectiveness, and complete project-based sprint assignments. The role requires strong sales and GTM expertise, presentation design ability, critical thinking, attention to detail, and written communication.

Provide Tier 2/3 technical support by diagnosing hardware, software, operating system, and networking issues. Troubleshoot Windows, macOS, Linux, TCP/IP, VPN, and DNS problems; document resolutions in ticketing systems; communicate technical concepts clearly; identify support trends; and recommend workflow improvements to enhance AI training data quality.

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.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.

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.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Conduct CRISPR gene-editing, cloning, genotyping, PCR, sequencing, and molecular biology experiments. Design synthetic DNA/RNA sequences, develop cell lines, analyze cellular functions, document results, and translate experimental data into structured formats for AI model training. Strong scientific communication, experimental rigor, and collaboration are required; AI experience is not necessary.

Contract expert will evaluate CAM/CNC and Fusion 360 manufacturing workflows, review and refine AI-generated recommendations, and develop/validate rubrics to assess process accuracy and efficiency.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Provide expert feedback on CAM, CNC, and Fusion 360 manufacturing workflows; review and refine AI-generated manufacturing content; and develop detailed rubrics for evaluating process accuracy and efficiency. The role requires advanced Autodesk Fusion expertise, strong manufacturing knowledge, and clear written and verbal communication. Teaching experience and experience with process evaluation rubrics are preferred.

Evaluate and improve AI-generated outputs for accuracy, clarity, quality, and business alignment. Develop and refine prompts, annotate data, conduct rubric-based assessments, fact-check content, and provide actionable feedback on model performance. Create and edit technical documentation, strategy reports, market analyses, business cases, executive summaries, and professional communications. The role requires strong analytical reasoning, writing, research, quality assurance, and attention to detail.

Create reinforcement learning environments to evaluate AI systems solving complex software engineering tasks with MCP tools. Responsibilities include designing reproducible environments, deterministic verification, golden reference solutions, bug fixes, feature implementation, codebase refactoring, and performance optimization across software codebases.

Part-time remote contractor who evaluates and improves AI-generated software engineering content. Responsibilities include prompt authoring, rubric-based model evaluation, technical documentation, fact-checking, data annotation, research, and detailed feedback on AI outputs. The role requires strong software engineering knowledge, technical writing, analytical reasoning, and attention to detail. Three or more years of professional software engineering experience is preferred, along with experience reviewing technical artifacts such as architecture documents, RFCs, design specifications, or code reviews.

Identify companies with valuable operational data for AI training and evaluation, conduct outbound prospecting, run discovery calls, explain data partnership value and technical concepts, address privacy and ownership concerns, negotiate terms, close B2B deals, manage the sales pipeline, and coordinate partner onboarding with internal teams.

Build reinforcement learning environments to evaluate AI systems on software engineering tasks involving MCP tools. Responsibilities include creating reproducible environments, deterministic verification, golden reference solutions, bug fixes, feature development, codebase refactoring, and performance optimization. The role is remote, flexible, contract-based, and output-focused, with no prior AI experience required.