About this role

Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.
Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.
Prompt models to complete complex data science tasks and review the accuracy of generated responses.
Label, proofread, and improve machine-written and human-written software engineering-related outputs.
Report quality and performance trends related to model/agent behaviour and project assignments.

3+ years of relevant industry experience working on real-world data science problems and pipelines.
Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).
Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.
Prior experience re-writing, proofreading, and delivering feedback on code.
Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.

Data Annotation Specialist, Data Science

Key skills