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Data Specialist
2 weeks ago
- Develop complex training data with multiple modalities on various topics, including technical or science-related content.
- Write grammatically correct texts in different styles with varying degrees of creativity, adhering to provided guidelines.
- Audit and quality-check tasks completed by other specialists as needed.
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information.
- Identify and report tooling bugs and suggest improvements.
We are looking for a team player who can work closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
Requirements:- Bachelor's degree in a relevant field or equivalent professional experience.
- 2+ years of experience working with written language data, including annotation and other forms of data markup.
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources.
- Excellent attention to detail and ability to focus for a long period of time.
- Comfortable with high-school level STEM.
- Ability to effectively write and evaluate diverse subject matter across various domains.
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Strong proficiency in English with excellent writing, reading, and comprehension skills.
- Experience with creating complex data for LLM training and evaluation.
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands.
- Familiarity with common markup languages such as HTML, XML, Markdown.
- Familiarity with common standard text formats such as JSON, CSV, RTF.
- Working knowledge of Python or another scripting language.
- Familiarity with regular expressions syntax.
- Familiarity with Large Language Models.
- Comfort in annotation work that may include sensitive content.