Remote | Software & Data Specialist (AI & IT) — $70–$110/hour
24-Mag•New York, NY
•Remote
About The Position
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.
Requirements
- 5+ years of relevant professional experience in software engineering, artificial intelligence, information technology, data science, data analysis, or a closely related field
- Experience as a Software Engineer, AI Engineer, Data Scientist, Data Analyst, IT Specialist, or similar technology professional
- Strong practical expertise in one or more of software, AI, IT, or data
- Experience developing or reviewing technical documents, analytical materials, spreadsheets, reports, or technology presentations
- Ability to assess technical content for factual accuracy, logical consistency, and practical relevance
- Strong analytical and problem-solving skills
- Highly proficient with Microsoft Office and Google Workspace
- Advanced proficiency with PowerPoint / Google Slides
- Strong spreadsheet and quantitative analysis skills
- Native or professional fluency in English
- Excellent written communication and ability to provide precise, structured feedback
Nice To Haves
- Master's degree or higher from a recognised institution is advantageous
Responsibilities
- 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
- 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
- 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
- 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 inconsistencies between data and reported findings
- Review quantitative results for clarity and decision usefulness
- Evaluate technical documents and spreadsheets for accuracy, organisation, and completeness
- Review formulas, calculations, tables, assumptions, and supporting information
- Identify mathematical, logical, or consistency errors
- Assess whether quantitative outputs appropriately support stated conclusions
- Evaluate the usability and professional quality of technical work products
- Review software, AI, IT, and data-related slide decks for technical accuracy and presentation quality
- Assess narrative flow, information hierarchy, and clarity for intended audiences
- Identify factual, analytical, aesthetic, and formatting issues
- Evaluate whether charts, diagrams, tables, and visualisations accurately represent underlying information
- Ensure technical conclusions and recommendations are communicated clearly
- Review related documents, spreadsheets, and presentations as an integrated set of work products
- Check consistency of terminology, figures, assumptions, claims, and conclusions across formats
- Identify discrepancies between underlying analysis and presented outputs
- Evaluate whether materials maintain coherent technical reasoning
- Assess overall quality and professional credibility
- Assess assigned outputs against domain-specific quality criteria
- Identify technical, analytical, factual, and presentation weaknesses
- Distinguish substantive technology issues from minor editorial concerns
- Provide clear, structured written feedback explaining identified strengths and weaknesses
- Apply evaluation standards consistently across different software, AI, IT, and data work products
Benefits
- Flexible scheduling based on project requirements
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
