C

Cohere

Builds language models and workplace AI tools

Data Annotation Specialist - Data Science

Manual & Functional QAConfirmed live in the last 24 hours
ContractCA$40 /hrRemote

About the Job

Requirements

  • Have at least 3 years of relevant industry experience working on real-world data science problems and pipelines.
  • Have proficiency in Python and industry-standard data science packages such as NumPy, pandas, matplotlib, and SQLite.
  • Understand SQL syntax and workflows, and be deeply familiar with file and data formats such as Markdown, JSON, XML, YAML, and HTML.
  • Have prior experience rewriting, proofreading, and providing feedback on code.

Responsibilities

  • Evaluate the model's ability to respond to coding requests, workflows, and codebase-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 or agent behaviour and project assignments.

Desired Qualifications

  • Have familiarity with code agents such as OpenCode, Claude Code, or Codex, or experience evaluating agent trajectories.

About the Company

Cohere

Builds language models and workplace AI tools

Cohere develops language models and AI software for businesses that need to search documents, generate text and automate work. Its customers include large organizations and developers building AI features into their own applications, with tools that connect company information to employee workflows. The North platform brings assistants and task automation into a shared workspace, while its models handle text generation and retrieval through software interfaces. Cohere earns revenue from paid model usage, dedicated deployment capacity and enterprise software agreements tailored to customer needs. The company was founded in 2019 and has its headquarters in Toronto, Ontario.

Company size
501-1,000
Company stage
Series E
Total funding
$2.1B
Headquarters
Toronto, Canada
Founded
2019

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