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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?

We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains.

This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects.

Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote.

As an Data Annotation Specialist, you will:

Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments.
Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on.
Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard.
Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types.
Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy.
Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model.
Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed.
Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade.

You may be a good fit if you have:

1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking.
Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer.
Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving.
A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus.
Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language!
Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML.
Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.

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, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain 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 contractors 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.

1a:T192d,

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 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. 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.

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.

1b:T17ce,

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 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 coding tasks, requiring you to review and debug code, navigate repository architecture, and analyze model trajectories. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.

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 and debugging requests.
Prompt models to complete complex coding 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:

Subject matter expertise in software engineering - you have both studied in this field and have 3-5 years of relevant industry experience.
Proficient knowledge and understanding of Python and the following programming languages: Java, JavaScript, Go, and SQL (any dialect).
Prior experience designing, building, and deploying APIs
Prior experience working with code agents (OpenCode, Claude Code, Codex, Cursor) or evaluating agent trajectories is a big 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 coding 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

If the above qualifications do not perfectly align with your experience, we still encourage you to apply!

1c:T17c4,

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 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 breaking down engineering tasks such as reporting, component search and handling of material billing/information into individual steps that can be tackled through tool use. Your breakdown will teach the Cohere model the logic needed to complete each task.

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 30 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 engineering procedures and workflows
Task models to complete engineering tasks along with verified information to evaluate the accuracy of the model's responses
Label, proofread, and improve machine-written and human-written engineering-related outputs.
Follow our style guide, and make recommendations on unique situations that fall outside of its scope.

You may be a good fit if you have:

3+ years of industry experience working in engineering fields (civil, mechanical, electrical, chemical)
Technician/engineering specialist training and experience preferredAn education background in engineering (Bachelors, Masters or similar)
Experience on medium-large scale engineering projects involving designing, prototyping and manufacturing components
Experience with CAD software, material billing and product lifecycle management (PCMs)

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 skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, 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

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 some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

1d:T1e5d,

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.

Cohere seeks dynamic and dedicated Data Annotators with exceptional Modern Standard German Writing, Translation, and Data Manipulation skill.

As a Data Annotation Specialist, you will:

Label and Rank: Accurately label and rank machine learning data with advanced proficiency in German, ensuring data integrity and quality.
Audit and Correct: Scrutinize and rectify any inaccuracies in language data (may include text, image, JSON, TSV/CSV, Markdown), maintaining the highest standard of data accuracy.
Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments, with high attention to detail.
Preference-Based Tasks: Evaluate and complete tasks, assessing which responses in German best conform to project guidelines.
Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in German language tasks.
Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on German language-related matters.
Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data.

You may be a good fit if you have:

Language Proficiency: Native or near-native proficiency in German; excellent command over English.
Expert reading and writing skills - which you are ready to prove on our written test.
Basic familiarity with JSON/TSV/CSV/Markdown data manipulation.
Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails!
High tolerance for repetitive and monotonous work.
Ability to follow complex instructions, navigate ambiguity and work independently.
Superb sense of urgency and time management.
Curiosity about technology and a knack for tackling problems in creative ways.
A reliable laptop.

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.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

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Role	Company	Location	Season	Posted
Data Annotation Specialist, Generalist	Cohere	CanadaRemote	—	1 month ago
Data Annotation Specialist, Data Science	Cohere	CanadaRemote	—	2 months ago
Data Annotation Specialist, Software Engineering	Cohere	CanadaRemote	—	2 months ago
Data Annotation Specialist, Engineering (civil, mechanical, electrical, chemical)	Cohere	CanadaRemote	—	4 months ago
Data Annotation Specialist - German Writer/Translator	Cohere	CanadaRemote	—	6 months ago