Data Science & Statistics Annotator

Label analytical tasks and validate statistical claims, methodology and interpretation.

Key responsibilities

• Check sampling and metric definitions.
• Annotate assumptions and uncertainty.
• Identify misuse of statistical concepts.
• Structure datasets for evaluation workflows.

What we look for

• Statistics, Data Science, Mathematics, Economics or related background.

How success is measured

Statistical correctness, labeling precision.

How this works on Jwuma

Candidate profile → skills evidence → domain assessment → calibration task → qualification → project matching → production → peer review → expert QA → performance feedback and progression. Corpshore AI service alignment Applicable across annotation and labeling, RLHF and preference data, model evaluation and red-teaming, multimodal datasets and specialized AI data operations, depending on project scope.

Common questions