TL;DR
Member of Technical Staff (AI): Building the next generation of foundation large language models by designing and curating high-quality datasets. Focus on data collection strategies, improving dataset quality and integrity and understand data-driven model behaviors.
Location: Must work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
Salary: $119,800 – $304,200 per year.
Company
hirify.global’s mission is to empower every person and every organization on the planet to achieve more.
What you will do
- Create high-quality datasets for training and evaluation; run experiments on new datasets to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
- Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
Requirements
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
Culture & Benefits
- Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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