Job Title: Data Collection Specialist (AI/ML)
Location: Hybrid
Job Type: Full-time/Part-time/Contract
Job Overview:
We are seeking a detail-oriented Data Collection Specialist to support our AI/ML team in gathering, organizing, and managing high-quality datasets. You will play a crucial role in ensuring that our machine learning models are trained on accurate, diverse, and well-structured data.
Key Responsibilities:
- Collect and curate structured and unstructured data from various sources (e.g., websites, databases, APIs, documents, images, audio, video).
- Label, annotate, and preprocess data to meet machine learning model requirements.
- Ensure data quality by identifying inconsistencies, duplicates, and missing information.
- Work closely with data engineers and AI/ML researchers to refine data collection processes.
- Implement automation tools to improve data acquisition and management.
- Maintain documentation for data sources, collection methods, and quality assurance processes.
- Ensure compliance with data privacy and security regulations (e.g., GDPR, CCPA).
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (or equivalent experience).
- Experience with data collection, web scraping, or data annotation tools.
- Proficiency in Python, SQL, or other scripting languages for data extraction.
- Familiarity with machine learning concepts and data preprocessing techniques.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Strong attention to detail and ability to work with large datasets.
- Knowledge of ethical AI and data privacy regulations is preferred.
Preferred Skills:
- Experience using tools like BeautifulSoup, Selenium, Scrapy for web scraping.
- Familiarity with annotation tools such as Labelbox, CVAT, or Amazon SageMaker Ground Truth.
- Understanding of different data formats (CSV, JSON, XML, etc.).
- Ability to collaborate with cross-functional teams in an AI/ML environment.
Why Join Us?
- Work on cutting-edge AI/ML projects with a dynamic team.
- Opportunities for professional growth and skill development.
- Competitive salary and benefits.