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Remote artificial intelligence (AI) jobs for beginners are increasingly accessible. Hundreds of entry-level openings are posted regularly across job boards and company websites.
These roles span a variety of functions, including data annotation, AI voice training, coding chatbot evaluation, and more.
Many positions offer flexible hours and freelance contracts. You can work from anywhere, making them ideal for those just starting out in the field.
Essential Skills and Qualifications for Entry-Level AI Roles
Technical Skills
- Programming Proficiency: Most entry-level AI jobs require knowledge of programming languages such as Python or R. Some roles also accept proficiency in JavaScript, Java, C++, or SQL.
- Machine Learning Fundamentals: Familiarity with basic machine learning algorithms, data analysis, and statistical concepts is often expected.
- Neural Networks: A foundational understanding of neural networks can be advantageous, even for junior positions.
- Problem-Solving: Strong analytical and critical thinking skills are essential for tackling AI-related tasks and coding challenges.
Additional Requirements
- Language Skills: Fluency in English is commonly required, especially for roles involving data annotation or chatbot evaluation.
- Education: While some jobs require a bachelor’s degree (completed or in progress), others focus more on demonstrable skills and the ability to pass technical assessments.
- Attention to Detail: Many positions, such as data quality control or internet rater roles, demand meticulousness and accuracy.
Types of Remote AI Jobs Available to Beginners
Data Annotation and Quality Control
- AI Voice Trainer: Record and label audio data to improve AI voice recognition systems. Flexible hours and pay per recorded hour.
- Data Rater: Evaluate and label data to support AI model training. Often freelance and open to non-technical applicants with strong attention to detail.
Coding and Technical Evaluation
- AI Chatbot Trainer: Write, review, and explain code solutions to help train AI coding assistants. Requires proficiency in at least one programming language and the ability to explain problem-solving approaches.
- AI Data Quality Technician: Ensure the accuracy and quality of datasets used for AI training. May require technical and analytical skills.
Other Entry-Level Opportunities
Internet raters assess the relevance and quality of online content to improve AI search algorithms.
These roles do not require advanced technical skills, but strong language and analytical skills are needed.
Some AI companies also offer remote sales or customer support positions. These do not require deep technical expertise but provide exposure to the AI industry.
Salary Expectations for Entry-Level Remote AI Jobs
Entry-level remote AI roles offer competitive salaries compared to other beginner tech positions.
According to recent data, the average salary for entry-level remote AI jobs is $54,650 per year.
Hourly rates can range from $17.50 for data annotation to $40 or more for technical coding evaluation roles. There are also opportunities for bonuses based on performance and project volume.
{{Experience Level
Average Salary
Entry-level (0 yrs)
$54,650
Junior (1-2 yrs)
$118,924
Mid-level (2-4 yrs)
$141,243}}
How to Find and Apply for Remote AI Jobs
Where to Search
- Job Boards: Platforms like Indeed, RemoteRocketship, and AIJobs.ai aggregate hundreds of remote AI job listings from companies worldwide.
- Company Career Pages: Leading AI companies such as OpenAI, Google, and DeepMind regularly post remote openings for various experience levels.
- Freelance Platforms: Some roles, especially in data annotation and evaluation, are available on freelance and contract work sites.
Application Tips
Tailor your resume to highlight relevant programming, analytical, and problem-solving skills.
Include any coursework, projects, or certifications related to AI or machine learning.
Prepare for assessments, as many technical roles require you to complete coding or data evaluation tasks as part of the application process.
For roles involving explanation or documentation, clear and concise writing is a valuable asset.
Entry-level roles can be competitive. Apply to multiple positions and continuously improve your skills through online courses and personal projects.
Building a Long-Term Career in Remote AI
Starting in an entry-level remote AI role provides valuable experience and exposure to the industry.
As you gain skills and complete projects, you can progress to higher-paying junior and mid-level positions. Salaries increase significantly with experience.
Continuous learning, networking, and contributing to open-source AI projects can further accelerate your career growth in this dynamic field.
