Data Annotation Specialist, Data Science

Cohere
Toronto, Calgary, Montreal, Vancouver, Canada, Winnipeg, Halifax, Edmonton, Ottawa, Victoria
Workplace: RemoteContractCAD 40+ hourlyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Communication","Problem-solving","Collaboration","Attention to detail","Data analysis"]

Data Annotation Specialist to evaluate data science workflows, review and debug code, analyze model trajectories, and provide feedback on outputs. You’ll label and improve machine- and human-written software outputs, assess model performance, and report trends. Part-time Canadian contract, remote, 16+ hours/week at 40 CAD/hour, 12-month term.

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FursaFursa
Cohere
Cohere
2 months ago

Data Annotation Specialist, Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Data Annotation Specialist to evaluate data science workflows, review and debug code, analyze model trajectories, and provide feedback on outputs. You’ll label and improve machine- and human-written software outputs, assess model performance, and report trends. Part-time Canadian contract, remote, 16+ hours/week at 40 CAD/hour, 12-month term.
Location: Toronto, Calgary, Montreal, Vancouver, Canada, Winnipeg, Halifax, Edmonton, Ottawa, Victoria
Workplace: Remote
Employment Type: Contract
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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.

Pay and Benefits

Salary: CAD 40 hourly

Key Requirements

  • •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; 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.
Experience:3+ yearsData scienceAIEnterprise AI
Skills:CommunicationProblem-solvingCollaborationAttention to detailData analysis
Languages:English
Tech Stack:PythonSQLJSONXMLYAMLHTMLNumpyPandasMatplotlibSqlite

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
WebsiteLinkedInGlassdoor