Offer summary

Qualifications:

Expert knowledge in hardware documentation., Experience in interpreting technical specs, schematics, and diagrams., Detail-oriented with strong reading comprehension skills., Experience in data annotation or labeling is a bonus..

Key responsibilities:

Create high-quality questions and answers for AI models.

Assess and improve the outputs of AI models.

Adhere to the company's style guide.

Provide insights for unique data labeling situations.

Job description

At Contextual, 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. Our data labelers create high-quality data to evaluate and improve our AI models. We are obsessed with data quality, and your efforts will directly impact the long-term performance and success of Contextual. If you're up for the challenge, join us!

We're looking for someone with expert knowledge in hardware documentation who also can write well. Experience in data labelling is a bonus, but not required.

As a Data Quality Control Specialist for Hardware you will:

Create high-quality and insightful questions, and excellent answers.
Assess, edit, and improve the outputs of our AI models.
Adhere to our style guide.
Provide insights and suggestions for unique data labelling situations.
Find and collate new financial documents.

You might be a good fit if you are:

A technical writer or hardware documentation specialist (e.g., ex-customer engineer).
Experienced in hardware components, architectures, and systems, with an ability to interpret technical specs, schematics, and diagrams.
Detail-oriented.
A fast, thorough reader with stellar comprehension skills.
Good at solving problems and showing ownership.
Experienced in data annotation or labelling.

Location: Remote. You must be available to work in EST timezone. Pay starts at $40 per hour. If you have any questions, please contact data@contextual.ai

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