Data Annotation Specialist, Data Science

CohereCohere·Remote(Canada)
Other

WFA Digital Insight

The demand for skilled data annotation specialists has grown significantly in recent years, with the global data annotation market expected to reach

.4 billion by 2027. As companies like Cohere continue to invest in AI and machine learning, the need for professionals who can accurately label and annotate data has become increasingly important. With the rise of remote work, candidates can now apply for roles like this one from anywhere in Canada, offering a unique opportunity to work with a leading enterprise AI company. Before applying, candidates should be aware that this role requires a strong foundation in data analysis, Python programming, and industry-standard data science packages.

Job Description

About the Role

As a Data Annotation Specialist at Cohere, you will play a critical role in evaluating the performance of the company's AI models, ensuring they can accurately respond to coding requests, workflows, and code base-related questions. This role is part of a global team of researchers, engineers, designers, and more, all working together to push the boundaries of what is possible with AI. You will be responsible for reviewing and debugging code, analyzing model trajectories, and assessing data visualization script development and logical flow implementation.

The successful candidate will be able to commit to 16 hours per week, working remotely from anywhere in Canada. Cohere is a leading security-first enterprise AI company, and this role will contribute to the development of its cutting-edge AI models and products.

What You Will Do

  • 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
  • Collaborate with cross-functional teams to identify areas for improvement and optimize model performance
  • Develop and maintain a deep understanding of the company's AI models and their applications
  • Stay up-to-date with industry trends and developments in AI and machine learning
  • Participate in knowledge-sharing activities to contribute to the growth and development of the team
  • Provide feedback and suggestions for improving the annotation process and model performance

What We Are Looking For

  • Exceptional data analysis and visualization skills
  • 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
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a remote team
  • Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus

Nice to Have

  • Experience working with AI and machine learning models
  • Knowledge of natural language processing (NLP) and computer vision
  • Familiarity with cloud-based data storage and management systems
  • Experience working in a fast-paced, rapidly changing environment

Benefits and Perks

  • Competitive contract rate of $40 CAD per hour
  • Opportunity to work with a leading enterprise AI company
  • Remote work arrangement, allowing for flexibility and work-life balance
  • Performance incentives and opportunities for growth and development
  • Access to cutting-edge AI models and technologies
  • Collaborative and dynamic work environment
  • Professional development opportunities, including training and mentorship
  • Flexible scheduling and autonomy to manage your work
  • Opportunity to work on complex and challenging data science projects
  • Recognition and rewards for outstanding performance and contributions

How to Stand Out

  • Develop a strong portfolio showcasing your data analysis and visualization skills, including examples of your work with Python and industry-standard data science packages.
  • Familiarize yourself with AI and machine learning concepts, including natural language processing and computer vision, to increase your chances of success in this role.
  • Practice your coding skills, including SQL syntax writing and workflows, to prepare for the technical aspects of the job.
  • Highlight your experience working with remote teams and collaborating with cross-functional groups to demonstrate your ability to work independently and as part of a team.
  • Be prepared to discuss your understanding of AI models and their applications, as well as your experience with code agents and evaluating agent trajectories.
  • Show enthusiasm and passion for working with AI and machine learning, and be prepared to learn and adapt quickly in a rapidly changing environment.
  • Research the company and its products to demonstrate your interest in the role and the company's mission.

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