Jobs at Xperteez Technology

Build small game projects and interactive scenes in a major game engine for AI assessment tasks. Create realistic gameplay bugs and multifaceted feature challenges, write clear task briefs and success criteria, develop reference solutions, and conduct thorough playtesting. Candidates should have game development experience, a strong portfolio, proficiency in Unity, Godot, or Unreal, familiarity with relevant scripting languages, debugging skills, and strong technical writing ability.

Creates and refines visual assets, illustrations, layouts, and graphics according to brand guidelines. Evaluates existing materials, documents design decisions, collaborates with stakeholders, incorporates feedback, and maintains organized deliverables. The contractor supports AI training projects through high-quality graphic design expertise, with responsibilities spanning digital, print, branding, critique, visual storytelling, and user-centered design.

Design, implement, and optimize GPU software for LLM training using CUDA, WebGPU, and GLSL. Profile and tune GPU kernels and shaders for performance, and develop host-side integrations in C++. The contractor will complete output-based tasks, meet minimum weekly submission requirements, and begin work shortly after onboarding.

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.

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

Reconstructs and redesigns data-driven presentations in Microsoft PowerPoint, creating visualizations and analytics reports that communicate complex insights clearly. Reviews and edits content for accuracy, flow, and narrative impact; applies data analysis and statistical reasoning; and refines slides based on feedback. The role supports AI training projects through high-quality presentation and analytical deliverables.

Contract equity research contributor evaluating AI tools for financial research. The role involves expert interviews, testing AI-generated analysis, reviewing financial content for accuracy and industry relevance, assessing sell-side research workflows, and documenting actionable feedback. Candidates should have recent sell-side equity research experience covering public companies, including published research, ratings, price targets, earnings notes, or coverage initiations.

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.

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.

Complete and document real-world Google Analytics workflows involving reports, traffic, users, events, conversions, audience insights, and engagement metrics. Record screen demonstrations, create prompts and rubrics, explain workflow steps, review outputs for accuracy, and follow project quality standards independently in a remote contract environment.

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.

Evaluates psychological case studies, assessments, documentation, and AI-generated content for accuracy, ethics, cultural sensitivity, and alignment with psychological best practices. Develops bilingual Lithuanian-English psychological scenarios and materials for AI model training, collaborates with interdisciplinary teams, and documents findings systematically. The role requires a PhD in Psychology and strong bilingual communication, analytical evaluation, ethical decision-making, and psychological assessment skills.

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.

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.

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.

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.

Build and scale distributed data pipelines and architectures supporting AI products and research. Responsibilities include processing large datasets with Spark, designing AWS data systems, managing SQL and NoSQL storage, writing Python and SQL, ensuring data quality and reliability, and implementing automation, orchestration, monitoring, and scalable data operations.

Review and annotate robotic-system video footage by identifying objects, movements, events, visual features, and anomalies. Provide feedback to improve video datasets and annotation consistency, collaborate with AI teams on annotation protocols, document observations, participate in quality reviews, and recommend improvements to video capture and labeling strategies.

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.