We are sharing a specialised part-time consulting opportunity for experienced software, AI, IT, and data professionals with strong expertise in technical analysis, software and technology workflows, data-driven decision-making, and professional technology work-product review.
This role focuses on reviewing professional documents, spreadsheets, and presentation materials related to software, artificial intelligence, information technology, and data. Selected experts will assess outputs for technical accuracy, analytical rigour, logical consistency, practical relevance, presentation quality, and overall professional credibility.
Key Responsibilities
Software & Technology Review
-
Evaluate software and technology-related work products for accuracy, completeness, and professional quality
-
Assess whether technical explanations, recommendations, and workflows are logically sound
-
Identify factual errors, unsupported assumptions, and technical inconsistencies
-
Review materials involving software systems, technology processes, and technical decision-making
-
Apply professional judgement grounded in real-world technology experience
AI & Machine Learning Content
-
Review materials involving artificial intelligence, machine learning, and related technical concepts
-
Assess whether AI-related explanations and recommendations are technically coherent
-
Identify inaccurate terminology, unsupported claims, or unrealistic assumptions
-
Evaluate the practical relevance of proposed AI applications or workflows
-
Review technical content for clarity and appropriate level of detail
Information Technology
-
Evaluate IT-related plans, analyses, and operational materials
-
Review technology infrastructure, systems, processes, and implementation considerations where relevant
-
Assess whether proposed approaches are practical and internally consistent
-
Identify gaps in technical reasoning, dependencies, or execution planning
-
Evaluate IT recommendations for professional credibility
Data Analysis & Reporting
-
Review data-related analyses, quantitative outputs, and supporting work products
-
Assess whether conclusions are appropriately supported by underlying information
-
Evaluate calculations, assumptions, metrics, and analytical interpretations
-
Identify incon