Course Review Engineer Intern
CodeSignal is how the world discovers and develops the skills that will shape the future. Our skills platform empowers teams to go beyond skills gaps, with hiring and AI-powered learning solutions, and helps individuals cultivate the skills they need to level up. Wherever you are on your journey, CodeSignal’s technical hiring and learning & development solutions meet you there and get you where you need to go.
Having powered millions of skills evaluations, CodeSignal is trusted by leading companies like Netflix, Capital One, Meta, and Dropbox, and is used by learners across the globe. Some of our latest accomplishments include:
- Being recognized by TIME magazine as one of the World’s Top EdTech Companies of 2024
- Getting Certified as a Best Place to Work 2023-2024
- Launching our AI-tutor Cosmo alongside our practice-first learning product.
- Seeing Cosmo featured in Times Square three times in as many months.
The Role
We are looking for interns to join our Course Production team. You will be responsible for reviewing and providing feedback on all the amazing courses created by our course development team before they can be found here.
Day-to-Day
- Review technical courses for quality, accuracy, and alignment with learning objectives.
- Provide constructive feedback to course development engineers to improve course structure, clarity, and effectiveness.
- Ensure consistency across all courses, verifying that the format, terminology, and instructional methods are uniform and contribute to a cohesive learning experience.
Basic Qualifications
- Knowledge of software engineering, AI/ML technologies, or a related field.
- Strong collaboration skills.
- Excellent written and verbal communication skills.
- Fundamental technical skills (able to read, understand, and write basic code in any programming language).
Salary Projection
In accordance with local regulations in jurisdictions where CodeSignal may hire, we are projecting an hourly base salary in the range of USD $20-$30/hour. This pay range is intended to cover roles based across the United States. Offers are awarded on an individual basis and are subject to factors such as, without limitation, a candidate’s level of experience, growth trajectory, and local labor market. Employees' compensation is reviewed and adjusted regularly.
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