США; Candidates from eligible locations across the United States are encouraged to apply; Ability to collaborate with distributed teams across different US time zones; We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States
Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
Описание вакансии
Responsibilities:
— Analyze, validate, and maintain datasets used for AI and machine learning applications.
— Identify missing, duplicate, inconsistent, and inaccurate data.
— Perform data cleaning, preprocessing, and quality checks.
— Evaluate training and testing datasets for accuracy and completeness.
— Develop and maintain data quality standards and validation procedures.
— Review AI-generated outputs and identify data-related errors or inconsistencies.
— Perform data annotation, labeling, classification, and categorization when required.
— Collaborate with Data Scientists, AI Engineers, and Data Engineers.
— Create SQL queries and Python scripts for automated data validation.
— Monitor data quality metrics and prepare analytical reports.
— Identify root causes of data quality issues and recommend corrective actions.
— Maintain data documentation, validation logs, and quality reports.
— Support continuous improvement of AI training datasets and data pipelines.
Requirements:
— 2–6 years of experience in Data Quality Analysis, Data Analytics, or AI Data Quality roles.
— Strong understanding of data validation, data cleaning, and data profiling.
— Working knowledge of SQL and database management.
— Experience with Python for data analysis and validation.
— Familiarity with Pandas, NumPy, and data processing libraries.
— Understanding of AI, machine learning, and data preparation workflows.
— Experience with structured and unstructured datasets.
— Knowledge of data annotation and labeling methodologies.
— Familiarity with Excel, Google Sheets, and data visualization tools.
— Strong attention to detail and analytical thinking.
— Excellent communication and problem-solving skills.
Preferred Qualifications:
— Bachelor's degree in Computer Science, Data Science, Statistics, Information Technology, or a related field.
— Experience with AI/ML training data evaluation.
— Familiarity with data quality tools and frameworks.
— Knowledge of Tableau, Power BI, or similar reporting tools.
— Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
— Understanding of ETL/ELT pipelines and data warehousing.
— Familiarity with data governance, privacy, and compliance standards.
— Experience evaluating LLM outputs and Generative AI datasets.
Benefits:
— Competitive annual salary of $70,000 – $115,000 USD.
— 100% remote work opportunity within the United States.
— Flexible working arrangements.
— Health, dental, and vision insurance.
— Paid time off and holidays.
— Retirement savings benefits, where applicable.
— Professional development and training opportunities.
— Career advancement opportunities.
Candidates must be legally authorized to work in the United States and able to collaborate across different US time zones.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
Мэтч и сопроводительное
Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
Сейчас в каталоге 405 вакансий по этому направлению, удалённо можно работать в 29%.
Навыки этой вакансии, которые чаще всего просят по направлению: SQL (30%), Power BI (22%), Tableau (21%), Python (18%), Excel (17%). В скобках доля вакансий направления.
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