Data Annotation Specialist – Data Science (Contract)

About the role

This role focuses on evaluating data‑science and coding tasks, reviewing and debugging code, analyzing model trajectories, and assessing data‑visualisation script development and logical flow. Your work will directly support model development and the logic applied by our AI systems.

Key responsibilities

• Evaluate the model's ability to respond to coding requests, workflows, and code‑base 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 outputs.
• Report quality and performance trends related to model/agent behaviour and project assignments.

Required profile

• Exceptional data analysis and visualisation skills.
• 3+ years of industry experience working on real‑world data‑science problems and pipelines.
• Proficient knowledge of Python and standard data‑science packages (numpy, pandas, matplotlib, sqlite, etc.).
• Strong understanding of SQL syntax and workflows; familiarity with markdown, JSON, XML, YAML, and HTML formats.
• Prior experience rewriting, proofreading, and providing feedback on code.
• Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.

Required skills

• Python
• numpy
• pandas
• matplotlib
• sqlite
• SQL
• markdown
• JSON
• XML
• YAML
• HTML
• OpenCode, Claude Code, Codex (code agents)