Remote Data Visualization & Quantitative Reasoning Expert

SaidGig; New York (NY); Remote; USD 34,000 - 69,000; Part time

Job summary

SaidGig is seeking a data science contractor to apply advanced statistical expertise in creating rigorous training and evaluation materials for AI systems. The role focuses on interpreting complex visualizations and designing objective analytical tasks with clear, step-by-step solutions.

Remote contract engagement in the United States. Candidates should have 2+ years in data science or related fields and strong English communication.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• At least 2 years of experience with statistical visuals or analytical reporting.
• Strong ability to interpret axes, legends, units, scales, confidence intervals, and annotations.

Responsibilities

• Interpret complex statistical visuals (Sankey diagrams, heatmaps, calibration curves, residual plots).
• Create clear, objective, multi-step questions based on challenging visualizations.
• Provide precise, unambiguous answers with step-by-step explanations and calculations.
• Use precise statistical terminology for chart elements (axes, legends, units, scales).
• Develop tasks involving graphical reasoning, trend analysis, and statistical inference.
• Produce objectively verifiable tasks and solutions for AI training and evaluation.
• Collaborate remotely and communicate feedback to project stakeholders.

Skills

Statistical analysis

Data visualization interpretation

Analytical reasoning

English communication

Bilingual English proficiency

Education

Bachelor's degree in Data Science/Statistics/Applied Mathematics/CS

Job description

SaidGig is seeking a data science contractor to apply advanced statistical expertise in creating rigorous training and evaluation materials for AI systems. The role focuses on interpreting complex visualizations and designing objective analytical tasks with clear, step-by-step solutions.

Remote contract engagement in the United States. Candidates should have 2+ years in data science or related fields and strong English communication.