Jobs at Xperteez Technology

Use CATIA to create and edit 3D mechanical parts, assemblies, surfaces, and engineering drawings. Explain and document CAD workflows step by step, review technical tasks, provide feedback supporting AI model improvement, and ensure design accuracy and quality.

Use GIMP to complete image editing, photo retouching, and 2D graphic design tasks. Record and explain editing workflows, manage layers and visual elements, document processes, and review tasks to provide feedback for AI model improvement while maintaining accuracy and quality.

Design and execute AI security evaluations focused on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse. Develop adversarial elicitation strategies, regression test suites, and evaluation frameworks to identify vulnerabilities in AI models. Collaborate with technical stakeholders to translate findings into safety improvements, and document methodologies and results for technical and non-technical audiences.

Conduct equity research analysis for AI training datasets, including financial modeling, earnings analysis, valuation, peer benchmarking, sector research, and investment thesis development. Review company models, assess revenue, margins, cash flow, and valuation drivers, produce concise research summaries and event updates, identify industry trends and catalysts, and provide quality feedback to project stakeholders.

Create reinforcement learning environments to train and evaluate AI systems using Model Context Protocol tools. Responsibilities include designing deterministic verification and reference solutions, debugging software, implementing features, refactoring codebases, optimizing performance, and assessing AI agents’ software engineering and MCP tool-use abilities.

Create reinforcement learning environments to evaluate AI systems using Model Context Protocol tools. Responsibilities include designing reproducible environments, deterministic verification, and reference solutions while fixing bugs, implementing features, refactoring code, and optimizing software performance across complex codebases.

Create and revise production-ready parametric 3D CAD models, mechanical parts, and assemblies using FreeCAD or comparable software. Produce engineering drawings with GD&T and tolerance stack-ups, design for sheet metal, CNC, plastics, and injection molding, and validate CAD models for manufacturability. Prepare technical documentation and assembly instructions for AI model training, incorporate reviewer feedback, and ensure accurate manufacturing handoff.

Evaluate AI model responses to complex business strategy and consulting problems. Develop high-quality prompts, model answers, and detailed feedback; apply structured consulting frameworks to assess reasoning quality, identify gaps, and help improve model performance. Collaborate with the project team as evaluation guidelines evolve. This is a remote contract role requiring strong consulting experience, business analysis, structured problem-solving, and excellent written English.

Conduct coding-heavy machine learning research involving model development, training pipelines, inference systems, numerical methods, performance optimization, and validation. Build reproducible workflows in Python and command-line tools, implement model and data pipeline components, debug system failures, and verify correctness and performance. The contract is fully remote, flexible, and approximately 15 hours per week, with output-based compensation.

Evaluate AI model responses to business strategy and consulting problems, create high-quality prompts and model answers, provide detailed feedback, assess reasoning using structured frameworks, identify gaps, and collaborate with project teams as guidelines evolve.

Design, develop, evaluate, and refine machine learning models using Python. Manage training data with MongoDB, build preprocessing and data pipelines, tune hyperparameters, benchmark model performance, document experiments, and deliver data-driven insights. Collaborate remotely with cross-functional contributors and support deployment or operationalization of models in cloud or enterprise environments.

Part-time in-house counsel reviewing and redlining technology contracts to train and evaluate legal AI models. Responsibilities include simulated negotiations, assessing AI responses, creating evaluation frameworks, and collaborating with product and research teams. Requires at least three years of in-house technology transactions experience, particularly with MSAs, NDAs, ISDA agreements, and derivatives.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Develop and refine machine learning models using Python, analyze datasets with MongoDB, and integrate preprocessing and data pipelines. Evaluate models, tune hyperparameters, benchmark performance, document experiments, and deliver data-driven recommendations. Collaborate remotely with cross-functional contributors to improve and operationalize machine learning solutions in cloud or enterprise environments.

Reviews written content and AI-generated responses for accuracy, clarity, grammar, coherence, completeness, and guideline adherence. Provides concise, constructive feedback, identifies subtle linguistic errors, documents findings using evaluation tools, and consistently applies evaluation criteria during a four-week remote contract sprint requiring at least 20 hours per week.

Provides expert input on IT strategy, systems architecture, infrastructure optimization, vendor management, security compliance, and technical team leadership. Reviews IT solutions, documentation, workflows, and processes, offering recommendations to improve implementation, risk mitigation, integration, and operational efficiency. Participates in structured discussions and written assignments supporting the development of AI tools for IT professionals.

Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative reasoning problems. Create 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 expertise.

IT Manager responsible for advising on IT strategy, systems architecture, infrastructure optimization, vendor management, security compliance, risk mitigation, and technical team leadership. The role involves reviewing IT solutions, documentation, workflows, and processes while providing written feedback and real-world expertise to support development of AI tools for IT professionals.

Evaluate and improve AI model responses involving financial modeling, valuation, investment analysis, capital markets, and due diligence. Create expert prompts and reference answers based on real deal experience, identify errors and unrealistic assumptions, and provide feedback to improve financial reasoning. The role is contract-based and remote, requiring strong finance expertise, Excel proficiency, and written English communication.

Evaluate and improve AI model responses involving financial modeling, valuation, capital markets, due diligence, and investment analysis. Create expert prompts and reference answers based on real deal experience, identify errors and unrealistic assumptions, and provide feedback to improve financial reasoning. The role is remote and contract-based, requiring strong English communication and relevant experience in investment banking, private equity, venture capital, hedge funds, or growth equity.