We are sharing a specialised consulting opportunity for experienced subject-matter professionals with strong expertise in chart interpretation, data visualisation analysis, quantitative reasoning, technical question design, and domain-specific terminology to contribute to an advanced AI training and evaluation project.
Selected professionals will interpret complex charts and data visualisations, design rigorous quantitative questions, produce objectively verifiable answers, and explain multi-step calculations clearly. The work is particularly suited to professionals from Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, Operations & Manufacturing, and other quantitatively intensive fields. No prior experience in AI is required.
Key Responsibilities
Chart & Data Visualisation Analysis
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Interpret complex charts, graphs, and data visualisations accurately
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Analyse multiple data series, annotations, scales, and statistical elements
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Extract relevant quantitative information from information-rich visualisations
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Identify trends, differences, relationships, and notable patterns
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Apply correct domain terminology throughout analysis
Multi-Step Quantitative Reasoning
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Develop and solve problems requiring multiple analytical steps
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Perform calculations based on chart-derived information
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Compare values, rates, changes, proportions, and trends
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Check intermediate calculations for consistency and accuracy
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Produce clearly supported numerical conclusions
Question Design
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Create clear and unambiguous questions based on charts and visual data
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Ensure questions are objectively answerable from the information provided
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Design tasks that require substantive reasoning rather than simple lookup
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Avoid unnecessary ambiguity or subjective interpretation
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Align question difficulty with the complexity of the underlying visualisation
Analytical Task Development
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Develop structured tasks involving calculations, comparisons, and trend analysis
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Create realistic quantitative reasoning scenarios
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Ensure sufficient information is available to reach a definitive answer
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Define clear expected outputs
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Maintain consistency between source visualisations, questions, and solutions
Technical Precision
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Use correct terminology for axes, legends, scales, units, and data series
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Accurately interpret confidence intervals and statistical annotations where relevant
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Preserve correct time periods and measurement units
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Avoid unsupported extrapolation or conclusions
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Maintain high standards of technical and quantitative accuracy
Step-by-Step Solution Development
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Provide precise final answers
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Document calculation steps clearly
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Explain analytical reasoning in a logical sequence
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Distinguish observed data from derived conclusions
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Ensure solutions can be independently verified
Domain-Specific Analysis
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Apply subject-matter expertise to specialised charts
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Interpret visualisations using appropriate professional terminology
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Identify context-specific relationships and metrics
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Ensure analyses remain consistent with accepted domain conventions
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Translate technical findings into clear written explanations
AI Evaluation & Training Support
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Develop high-quality analytical examples for AI training
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Evaluate whether generated answers are numerically and conceptually correct
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Identify reasoning, interpretation, or terminology errors
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Provide structured feedback supporting model improvement
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Contribute expert-reviewed quantitative tasks to evaluation workflows
Quality Assurance
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Review tasks for ambiguity and unnecessary complexity
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Confirm calculations and expected answers
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Check that questions can be answered using the supplied information
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Verify consistency of terminology, units, and data interpretation
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Maintain strong quality standards across analytical deliverables
Remote Collaboration
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Collaborate asynchronously with project coordinators and reviewers
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Respond clearly to feedback and revision requests
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Communicate technical reasoning effectively in written and verbal formats
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Support consistent evaluation standards across contributors
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Work independently while meeting project quality requirements
Ideal Profile
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Bachelor's degree or equivalent professional experience in a relevant quantitative or technical domain
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At least 2 years of professional, academic, or research experience working with charts or quantitative data
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Strong chart-interpretation skills
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Demonstrated ability to perform multi-step quantitative reasoning
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Ability to interpret charts with multiple series, annotations, scales, or statistical features
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Strong understanding of units, axes, legends, confidence intervals, and time-series interpretation
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Ability to design unambiguous and objectively answerable questions
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Strong written analytical communication skills
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Ability to explain calculations clearly in English
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Experience authoring technical assessments, benchmark questions, analytical exercises, or structured evaluation tasks is advantageous
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Advanced degree, professional credential, or significant industry specialisation is highly desirable
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Experience in Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, Operations & Manufacturing, or a comparable domain is highly relevant
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Experience collaborating with distributed technical or research teams is beneficial
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Strong attention to detail and analytical rigour
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No prior AI-training or model-evaluation experience is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Compensation: $25–$50/hour
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Work will involve chart interpretation, data visualisation analysis, quantitative reasoning, question design, calculation review, and AI-generated analytical-content evaluation
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Strong quantitative accuracy and domain-specific terminology are central to this engagement
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Assignments may involve complex charts with multiple data series, annotations, confidence intervals, specialised units, or domain-specific visual conventions
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Contributors may work across medicine, finance, economics, engineering, physics, earth science, GIS, statistics, data science, operations, manufacturing, and related fields
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Project scope, chart types, domain coverage, and evaluation standards may evolve depending on project requirements
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Work must be completed without using confidential, proprietary, restricted, personally identifiable, or otherwise protected information belonging to any employer, client, healthcare organisation, financial institution, research institution, data provider, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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