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Data Annotation Specialist, Data Science

cohere

Remoto Canada
Data AI

Job Score

100 pts
Remote model (+90) Data (+10) AI (+10)

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. 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. Performance incentives included!

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 - Once you have submitted your application, our Talent Team will review your resume and writing samples.

Virtual Annotation Test - This assignment will test your written and technical skills through various language-based tasks, such as a data science take-home assessment, writing sample, and more.

Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!

Offer - 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.

About Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Advertising

The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.

About Content Writer

The Content Writer is the professional responsible for creating quality written content for websites, blogs, social media, and other digital platforms. They combine writing skills with content strategy and SEO to attract, engage, and convert audiences.

Key skills include blog content creation, landing pages, newsletters, social media content, keyword research, content strategy, editorial calendar, and SEO writing. Knowledge of WordPress, Surfer SEO, Ahrefs, and analytics tools is a differentiator.

Content Writers in technology companies are highly valued, especially those who can create accessible technical content, evergreen content, and content that generates organic traffic. The field offers opportunities from junior content writer to head of content, with a focus on quality, strategy, and content performance.

About Blockchain

The Blockchain area involves the development and implementation of secure and distributed transaction ledgers. Professionals in this field work with smart contract development, cryptography, consensus algorithms, and platforms such as Ethereum, Hyperledger, and Solana, ensuring security and decentralization for various types of applications.

About Graphic Designer

The Graphic Designer is the professional responsible for creating visual pieces for print and digital communication, from visual identity and logos to marketing materials and packaging. They combine creativity with technique to convey messages visually and impactfully.

Key skills include Adobe Photoshop, Illustrator, and InDesign, CorelDRAW, visual identity design, typography, color theory, packaging design, and motion graphics. Knowledge of vector illustration, offset/digital printing, and print production is a differentiator.

Graphic Designers in technology companies are highly valued, especially those who master social media design, infographics, and can create materials that strengthen brand visual identity. The field offers opportunities from junior graphic designer to art director and design director.

About Communications

The Communications area is strategic for building and maintaining a company's institutional image. It encompasses corporate, internal, and external communication, public relations, press office, and reputation management. Communications professionals are responsible for delivering consistent messages that strengthen the employer brand and market positioning.

Key skills include strategic writing, communication planning, crisis management, media relations, corporate content production, event organization, and digital communication. Knowledge of communication CRMs, press release distribution platforms, and media monitoring tools (Meltwater, Cision) is a differentiator.

Corporate communicators in technology companies are highly valued, especially those who master change communication, employee engagement, and digital communication. The field offers opportunities in startups, scale-ups, and large corporations, with a focus on storytelling, organizational culture, and innovation communication.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Expert Tip

Generative Design and AI as a Co-pilot

If the last decade in digital design was defined by mobile standardization and UX/UI becoming the core of product development, 2026 marks the dawn of a new era. We are no longer designing just for flat glass screens; we are building intelligent ecosystems, three-dimensional environments, and autonomous algorithms.

For designers looking to stand out and secure the best six-figure remote opportunities in the US tech market, understanding where the industry is heading is no longer a "nice-to-have" differential—it's a matter of professional survival. Below, we break down the four major trends that will dictate hiring and compensation in the 2026 design landscape.

1. Generative Design and AI as a Co-pilot (Not a Replacement)

The fear of Artificial Intelligence replacing designers is officially in the past. In 2026, generative AI is deeply and natively integrated into industry-standard tools like Figma, Adobe, and Framer. The most valued skill by top-tier tech companies is no longer speed in aligning components, but rather algorithmic art direction and prompt design.

  • UI Automation: Wireframing, component variations, and complex design systems can now be generated with a few text prompts.
  • The Designer's New Role: Professionals are shifting from operational executors to curators and strategists, ensuring that AI-generated outputs align with user psychology and core business objectives.

2. Spatial Design and Spatial Computing

With the maturation of mixed reality devices (such as the Apple Vision Pro and Meta's advanced lineups), Spatial Design has evolved from an experimental niche to a mandatory department in Big Tech and forward-thinking startups.

Designing for spatial computing requires a complete paradigm shift: designers must understand Z-axis depth, visual ergonomics, spatial audio, and interactions based on eye-tracking and hand gestures. Roles like AR/VR Product Designer and 3D Interaction Designer are seeing an exponential jump in job listings, often paired with premium compensation packages.

3. Conversation Design and Invisible Interfaces (Zero-UI)

Driven by the omnipresence of Large Language Models (LLMs), the way users interact with systems has fundamentally changed. In 2026, many of the best interfaces don't rely on buttons or hamburger menus; they are conversational. UX Writing and Conversation Design have taken center stage.

  • The Challenge: How do you design the "personality" and flow of a virtual assistant so it feels natural, empathetic, and on-brand, rather than like a rigid robot?
  • The Opportunity: Designers who know how to map complex decision trees, create logical flows for voice and text, and train the empathy of AI models are being heavily scouted by top US startups.

4. Digital Sustainability and Eco-Design

The ESG (Environmental, Social, and Governance) agenda has finally reached the product design tables. The internet consumes a massive amount of energy, and in 2026, tech companies are being strictly held accountable for their digital carbon footprint.

Enter the demand for Digital Eco-Design. This involves creating lighter interfaces, optimizing user flows to reduce screen time (saving battery life and server processing power), and adopting color palettes and assets (like SVGs instead of heavy raster images) that require less energy to render. Being a sustainable designer has become a powerful B2B selling point for agencies and freelancers alike.

Conclusion: The Evolution of Talent

The 2026 design market is highly rewarding for those who embrace complexity. The barrier to entry for making "pretty screens" has dropped significantly, but the demand for professionals who can solve intricate business problems through empathy, strategy, and the mastery of new technologies has never been higher.

If you want to stay ahead of the curve and get direct access to the remote jobs that are actively looking for these specific skills, make sure to follow Mondywork's daily curation. The future of design is hybrid, remote, and full of opportunities.