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Udacity
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Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.
Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during its digital transformation journey.
Udacity is one of the most exciting companies in Silicon Valley, and is disrupting the way we learn! Named as one of CNBC's Top 50 Disruptors, Udacity is becoming the preferred route for people to obtain the skills they need to get the jobs they want.
Udacity is a pioneer in online technical education, offering high-quality courses across a wide range of disciplines. Our catalog includes short and long programs, Nanodegrees (bundled courses), and content tailored to multiple skill levels, foundational, beginner, intermediate, and advanced, as well as business leadership audiences.
To ensure our content remains current, impactful, and industry-aligned, we continuously review and update our courses. We take a data-driven approach to evaluating content quality and identifying outdated material. Key performance metrics, such as student satisfaction, lesson ratings, and page-level feedback, help us determine whether a course requires maintenance. Throughout the year, various courses are kept under active maintenance to ensure they receive timely updates. To do this effectively, we regularly collaborate with expert contractors who help update the course content.
As new needs arise, we contact qualified candidates within our contractor pool to share project details, scope, and timelines. Contractors work closely with a Udacity team member who provides tooling, guidance, and logistical support. In most cases, contractors operate as individual contributors, though they may collaborate with other teams, such as Content Developers, Program Managers, and Learning Architects, to define scope, set priorities, and gather necessary information about the content under maintenance.
If you thrive on challenges, want to make an impact, and are interested in joining our contractor community, we encourage you to read on and apply.
We’re building a contractor pool of data professionals to support our School of Data Science. The School of Data Science currently offers courses and Nanodegrees across the end-to-end data lifecycle, including (but not limited to):
Our contractor pool helps ensure this catalog stays technically accurate, pedagogically sound, and aligned with industry practices in data, analytics, and AI.
To effectively maintain and update our data courses, you'll need to understand how students interact with our content. Our courses use two key technologies:
Udacity Workspaces
For practitioner content, we provide in-classroom workspaces so students don’t need to install or purchase any tools or set up environments locally. These workspaces are Docker containers running in Kubernetes, and students access them directly in the classroom page through their browser. For the School of Data Science, common workspace types include:
These workspaces need continuous updates and patching, and the exercises/project starter code must be updated to remain compatible with the updated workspace (e.g., Python libraries and data engineering toolchains).
Udacity Cloud Labs
We also provide temporary access to various cloud services via Cloud Labs. For the School of Data Science, these are primarily AWS and Azure labs that power data engineering, data architecture, and streaming exercises and projects. Cloud Labs are federated accounts that allow students to use the AWS or Azure consoles using temporary credentials. These cloud labs are pre-configured with RBAC and policies. In some cases, we pre-create several data resources, such as data warehouses, data lakes, Kafka clusters, or compute environments, via Infrastructure as Code to provision the resources required for an exercise or project.
If you're interested in joining our contractor pool and contributing to world-class data education, please submit your application with:
Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Equal Opportunity Statement
Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.
Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist
Udacity's Terms of Use and Privacy Policy
Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Equal Opportunity Statement
Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
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Start with a role or skill you want to use in your next job. Use the location and role filters to narrow the results, then open a listing to review the description. A title alone rarely explains the level of responsibility, working arrangement, or experience a team needs. Compare those details before deciding which opportunities deserve a tailored application.
Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
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Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.