2

Remote Earn While Learn Jobs (NOW HIRING)

next page

Showing results 1-20

Remote Earn While Learn information

What are the key skills and qualifications needed to thrive as a Remote Earn While Learn participant, and why are they important?

To thrive in a Remote Earn While Learn role, you typically need basic digital literacy, time management, and a willingness to learn new skills, often without formal qualifications required. Familiarity with online collaboration tools, learning management systems, or remote work platforms is commonly needed. Strong self-motivation, communication, and adaptability help participants excel in a remote and flexible environment. These abilities are crucial for balancing learning with earning and maximizing the benefits of remote opportunities.

What are some common challenges faced when starting a 'Remote Earn While Learn' position, and how can new hires overcome them?

One common challenge in a 'Remote Earn While Learn' role is balancing training or coursework with job responsibilities, as you'll need to manage your time effectively to stay productive. Additionally, remote work often requires self-motivation and clear communication, since you'll be collaborating with team members virtually. To overcome these challenges, set a structured daily schedule, proactively check in with supervisors or mentors, and use project management tools to stay organized. Most teams provide support through virtual meetings, online resources, and mentorship programs to help new hires succeed.

What are 'Remote Earn While Learn' jobs?

'Remote Earn While Learn' jobs are positions that allow individuals to gain practical work experience and earn an income while continuing their education, all from a remote or online setting. These roles are popular among students, career changers, or those seeking to upskill, as they provide flexibility to balance work and studies. Common examples include internships, apprenticeships, online tutoring, freelance projects, and virtual assistant roles. These jobs help build professional skills, enhance resumes, and may lead to long-term career opportunities while supporting financial needs.

What is the difference between Remote Earn While Learn vs Remote Intern?

AspectRemote Earn While LearnRemote Intern
CredentialsOften no formal credentials required; on-the-job learningMay require specific educational background or coursework
Work EnvironmentRemote, flexible scheduleRemote, structured internship program
Employer & Industry UsageUsed by companies offering training programs with payCommon in various industries for skill development
Search & Comparison IntentPeople seeking paid learning opportunities with work experienceStudents or early career individuals seeking internship experience

Remote Earn While Learn programs focus on providing paid work opportunities that combine earning with skill development, often without requiring formal credentials. Remote Internships are structured learning experiences, usually unpaid or paid, aimed at gaining industry-specific skills. Both serve as entry points but differ mainly in compensation and structure.

More about Remote Earn While Learn jobs
What cities are hiring for Remote Earn While Learn jobs? Cities with the most Remote Earn While Learn job openings:
What are the most commonly searched types of Earn While Learn jobs? The most popular types of Earn While Learn jobs are:
What states have the most Remote Earn While Learn jobs? States with the most job openings for Remote Earn While Learn jobs include:
Accelerated Software Engineer "Earn While You Learn" Program

Accelerated Software Engineer "Earn While You Learn" Program

Flatiron School

Remote

$20/hr

Contractor

Posted 25 days ago


Job description

About Flatiron School
As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future. We're committed to helping change lives and the world for the better. Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design. In addition to student programs, we also offer targeted education solutions for organizations.
About the Opportunity
Flatiron School is offering an apprenticeship opportunity for early-career developers to earn income while learning. Apprentices will enroll in Flatiron's Data Science & AI part-time bootcamp and be matched with one of our employer partners for a paid apprenticeship throughout the duration of the program.
This is a unique opportunity to develop skills in AI and data science while gaining hands-on industry experience. As an apprentice, you'll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work. At the same time, you'll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer.
This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for a 14-month program. The apprenticeship earnings will cover the tuition cost of the bootcamp.
What You'll Do
  • Attend and complete the part-time Data Science & AI Bootcamp as part of the apprenticeship
  • Contribute to software projects for your host company
  • Write clean, maintainable and testable code using modern frameworks and tools
  • Collaborate in sprint-based workflows and participate in code reviews
  • Support feature development, debugging, documentation, and QA processes
  • Build your portfolio of production-level work while growing your technical and collaborative skills
  • Receive ongoing mentorship from senior developers and product leaders

What You'll Learn
  • How engineering and data science intersect in modern AI products
  • Practical agile development workflows in a collaborative environment
  • Best practices for writing clean, maintainable, production-quality code
  • How to build and ship features with real user needs and product strategy in mind
  • How to apply data thinking to software engineering challenges

Who The Program Is For
Requirements:
  • Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science Bootcamp and for apprenticeship work
  • Have a degree in Computer Science (or similar technical degree)) OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply
  • Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java)
  • Familiarity with frontend and backend web development concepts
  • Working knowledge of databases (SQL or NoSQL) and how to query or integrate them
  • Must be currently living in the U.S.
  • Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers.

Preferred Skills:
  • Awareness of testing, debugging, and code review practices
  • Strong communication and collaboration skills
  • Accountability in managing time and meeting small milestones
  • Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer

Who This Program Is Not For
  • Candidates currently enrolled in a college/university or bootcamp program
  • Candidates currently employed in a full-time job (part-time work is ok, as long as the hours do not conflict with our program)
  • Candidates who are seeking data analytics or data science apprentice work

Program Details
  • Hourly Pay: $20/hour for 20 hours/week paid through an employer partner (hiring entity) on their internal payroll cadence, 14-month commitment
  • Tuition Coverage: Commit to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School
  • Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses
  • Location: Program is fully remote and online, so you can work and study at home. U.S.-based candidates only

Requirements
  • Availability for 40 hours/week
  • Successful completion of the Flatiron School Aptitude Assessment
  • Successfully passing the technical interview with a member of our engineering team