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Data Annotator - Science

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. 

This role will have you focus on science, math, logic and reasoning. You will teach the Cohere model how to perform across a variety of different functions and logic.


Please Note: This is a part-time contract position. We seek candidates who are able to commit to a 1 year contract with a minimum commitment of 20 hours per week (if you are based in Canada/USA) or 12 hours per week (if you are based in the UK). This opportunity offers a $30/hour contract rate (commensurate with experience). This role is BYOD 💻 - Bring Your Own Device (laptop). Once training is completed, this role is hybrid. Performance incentives included! 

As a Senior Data Quality Specialist , you will:

  • Label, rank, audit, and correct machine learning data with a focus on science, logic and math-related content.

  • Complete reading or math-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 task

You may be a good fit if you have:

  • Subject matter expertise in STEM (advanced, university level) - you have both studied in these fields and have practical experience applying them in a workplace.

  • Strong reading and writing skills - which you are ready to prove on our written test.

  • Some experience working with structured data (ex. csv, json etc).

  • 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.

  • Ability to follow complex instructions, navigate ambiguity and work independently.

  • Superb sense of urgency and time management.

  • A reliable laptop to work from.

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!

  • Practical Assessment - 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.

  • Offer - Independent Contractor Agreement.

Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, 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! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

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.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

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Average salary estimate

$46800 / YEARLY (est.)
min
max
$31200K
$62400K

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Cohere, founded by AI pioneers, offers a leading enterprise AI platform that combines ease-of-use, data privacy, and unparalleled flexibility with its cloud-agnostic and API-accessible services,

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Part-time, hybrid
DATE POSTED
November 22, 2024

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