Data Annotator/ AI Data Trainer - Competitive Coding
Toronto
- Remote-first
- Website
- @CohereAI 𝕏
- GitHub
- Search
Cohere
Cohere provides industry-leading large language models (LLMs) and RAG capabilities tailored to meet the needs of enterprise use cases that solve real-world problems.
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 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 the 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.
This role focuses on competitive coding. We are looking for Coding Olympiads, Leetcoderds and Competitive Coders.
Please Note: We are looking for candidates who are able to commit to 20 hours per week. This role is BYOD 💻 - Bring Your Own Device (laptop). This role can be hybrid or fully remote.
Our Perks:🤝 An open and inclusive culture and work environment 🧑💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives
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 the 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.
This role focuses on competitive coding. We are looking for Coding Olympiads, Leetcoderds and Competitive Coders.
Please Note: We are looking for candidates who are able to commit to 20 hours per week. This role is BYOD 💻 - Bring Your Own Device (laptop). This role can be hybrid or fully remote.
As a Senior Data Quality Specialist in Coding, you will:
- Label, rank, audit, and correct machine learning data with a focus on code-related content.
- Complete reading or coding-based tasks in an efficient and attentive manner.
- Complete preference-based tasks to evaluate which responses best follow our style guide.
- Recommend optimization opportunities.
- Provide feedback to cross-functional team members.
- Maintain close attention to detail, while performing repetitive and precise tasks.
You may be a good fit if you have/are:
- A quick, thorough, creative coder. You have an uncanny knack for creating clean, elegant solutions (and maybe you've done so professionally before). You also are the type who can skillfully distill complex ideas into readable, digestible code and code descriptions.
- A thoughtful and thorough PR reviewer. You've spent time proofreading and giving feedback on others' code. You've improved others code quality.
- Extensive experience in coding competitions (Coding Olympiad, Leetcode, Kaggle, Hackerrank). We want to hear about these in your application!
- Strong reading and writing skills - which you are ready to prove on our written test.
- Deep attention to detail and commitment to accuracy - you’re the type to proofread all of your emails!
- High tolerance for repetitive and monotonous work.
The Candidate Journey:
- Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.
- Virtual Meet & Greet - If selected to move forward, you will have a short video call with a member of our Annotation Army!
- Hackerrank Assessment - This assignment will test your coding skills using Python and SQL.
- Offer - Independent Contractor Agreement.
Our Perks:🤝 An open and inclusive culture and work environment 🧑💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
15
3
0
Category:
Deep Learning Jobs
Tags: CoHere Data quality LLMs Machine Learning Python RAG SQL
Regions:
Remote/Anywhere
North America
Country:
Canada
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