- Perform accuracy checks on provided college-level lessons.
- Minor edits may be required if the lesson is inaccurate in any way.
- Experts must be capable of confirming that lessons are coherent and helpful for our users.
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Study.com's mission is to make education accessible. They are the leading online education platform, delivering a personalized learning experience across a broad continuum of education for over 30 million students, instructors, and professionals every month.
The mission of Study.com is to make education accessible as the leading online education platform for over 30 million students, instructors, and professionals every month.
Study.com's mission is to make education accessible and delivers a personalized learning experience across a broad continuum of education.
Support school districts in the overall data extract and import process into Renaissance products. Complete manual data setup processes. Perform quality control checks of data.
Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for creating energizing learning experiences.
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Work closely with Product Management teams to analyze data. Inform strategic product decisions and enhance customer value. Synthesize insights into clear recommendations.
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As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.
CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.
Identify and review potential external data sources. Match partner data with external sources to identify inaccuracies and gaps. Produce clear reports and dashboards highlighting data quality metrics, trends, and progress.
Software Mind develops solutions that make an impact for companies around the globe.
Review AI-generated written content across multiple genres and formats, providing feedback. Use your expertise to help AI reason through writing challenges, including argumentation, structure, tone, and audience engagement. Identify biases, inaccuracies, or unclear passages in AI-generated outputs, and develop tests.
Labelbox builds the data engine that accelerates breakthrough AI, enabling safer, smarter models in production and is trusted by leading research labs and enterprises worldwide.