TL;DR
Data Quality Analyst (AI): Analyzing, understanding, and maintaining data for AI model training and fine-tuning with an accent on data quality, completeness, and volume. Focus on working with instruction tuning datasets, planning dataset creation, and building evaluation and 'golden' datasets.
Location: Remote, candidates must be based in Poland, Albania, Romania, Hungary, Ukraine, Egypt, Serbia, Bulgaria, North Macedonia, Croatia, Spain, Portugal, Estonia, Kazakhstan, or South Africa
Company
hirify.global empowers employers to hire anyone from anywhere with one click, offering a full-range people management tool and employee benefits to revolutionise the industry as one of the fastest-growing private companies in the USA.
What you will do
- Analyze available internal data sources and prepare reports on data quality, completeness, and volume for specific use cases.
- Maintain datasets for AI model training and fine-tuning, including working on instruction tuning datasets.
- Plan dataset creation in collaboration with Data Engineers and AI Engineers.
- Maintain "golden" datasets with domain experts.
- Build evaluation datasets for AI models.
Requirements
- Familiarity with AI concepts such as RAG, fine-tuning, and datasets.
- Ability to work with data using Python and SQL queries.
- 1-2 years of experience in data management or data analysis.
- Experience with DataFrames in Pandas or Polars.
- Experience in an AWS environment.
- Possess an analytical mind and be detail-oriented.
Culture & Benefits
- Work in an early-stage startup environment where you can influence and grow rapidly.
- Define how AI transforms a category-leading startup and advance your career as the company scales.
- Experience direct impact as your work will be central to revenue growth, customer support, and market differentiation.
- Join a company with a culture that values respect, kindness, the right to fail, hard yet smart work, diversity, and inclusion.
- Enjoy competitive compensation and 100% remote work.
- Benefit from PTO regulated by local statutory requirements.
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