Top Entry Level Data Engineer Jobs

As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.

The Data Operations Specialist will support the ProBio Supply Chain team by providing data-entry, administrative, and customer service support. Responsibilities include managing master data, conducting data quality checks, analyzing reports, collaborating with cross-functional teams, and ensuring accurate data processing within the management system.

The Software Data Science and Analytics Engineer will analyze data to drive process efficiency and support decision-making regarding global project sourcing. Responsibilities include database development, data analysis, dashboard creation, and engagement with cross-functional teams to improve data accuracy and support business decisions.

The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.

As an AI Strategist, you will help clients navigate AI/ML integration challenges, conduct quantitative analysis, assess organizational capabilities, and provide actionable recommendations to advance their AI strategies, while working collaboratively with engineering teams.

As a Machine Learning Engineer at FanDuel, you will leverage data to enhance customer experiences and drive business insights. You will collaborate with engineering and data teams to manage data and develop AI-powered insights, turning user interactions into actionable knowledge.

The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.