Finance Data Labeller

Who are we?

At Contextual AI, we're on a mission to create groundbreaking AI products and solutions. We’re building language models that are customizable, scalable, trustable — and cite their sources. 

Why this role?

We're on the hunt for someone with expert knowledge in financial analysis, as well as highly proficient copywriting skills.The ideal candidate is a quick learner who can craft high-quality and insightful questions, and create excellent answers. If you're up for the challenge, join us!

What does this role involve?

Language models, like humans, learn through feedback. Data labellers play a pivotal role in ensuring that our products produce grounded and impeccably written answers, and provide readers with all of the information they need to trust them. We are obsessed with data quality, and your efforts will directly impact the long-term performance and success of Contextual.

Note: This is a part-time independent contractor position. Compensation for our financial data labeller starts at £30-50 per hour, based on experience, responsibilities and performance. There is an option for full-time work depending on our performance and the needs of the business. 

As a Financial Data Labeller, you will:

  • Create high-quality and insightful questions, and excellent answers.
  • Assess, edit, and improve the outputs of our AI models. 
  • Skillfully diversify and improve our datasets.
  • Identify, research and collate new financial documents.
  • Adhere to our style guide and provide insights and suggestions for unique data labelling situations.
  • Execute tasks with meticulous attention to detail, including proper citation of sources.

You might be a good fit if you are:

  • A financial analyst experienced in reviewing financial documents and providing financial insights.
  • A dynamic wordsmith — you love connecting with your audience, and you have a knack for distilling complex ideas into easily digestible narratives.
  • Detailed-oriented — if you've honed your rewriting, proofreading, and feedback skills in previous roles, and enjoyed working with a style guide, we want your expertise in our creative environment.
  • A fast, thorough reader with stellar comprehension skills. Someone who can tackle ambiguity head-on and excel independently in a remote or hybrid work setting.
  • Experienced in data annotation or labeling.

Location: Remote, United Kingdom or in GMT / BST 


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