Data Annotation Specialist, Data Science
Cohere is hiring a Data Annotation Specialist, Data Science for a remote role open to applicants in Canada. Level rates it ; you can apply on Cohere.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Claude, Claude Code and Codex.
- Level classifies it as a mid-level role.
- Level lists 115 other open roles at Cohere.
AI in this role
Evaluate and annotate data science and coding model responses, debugging agent trajectories to improve frontier enterprise AI capabilities.
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.
Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract.
As a Data Annotation Specialist, you will:
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.
You may be a good fit if you have:
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; 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.
The Candidate Journey:
Initial Screening: Our Talent Team will review your application.
First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If the above qualifications do not perfectly align with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
How we rate this
Data Annotation Specialist, Data Science at Cohere rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Tell me about a project where data annotation was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where code review was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Data Annotation, Data Science, Code Review, and Debugging. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote data annotation & ai training jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote data annotation & ai training jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data Annotation & AI Training roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step