Apply Now! | Virtual Data Annotation Technician (Remote) - Earn $20 per hour!

Company: Trucking People
Location: Remote (U.S. only)
Salary: US$41,600 per year (or $20 per hour)
Job Type: Contractor (1099)
Job Highlights:

• Remote work
• Full-time, flexible hours
• Support cutting-edge AI advancements
• U.S. only – must be authorized to work in the U.S.
• Recent graduates encouraged to apply

Apply Now:

• Apply on Rise - Rise - Jobs
• Apply on Monster

 

Want to get your foot in the door of the fast-growing artificial intelligence industry—without needing prior experience?
Here's your chance.

We're looking for detail-oriented individuals to join our remote team as Virtual Data Annotation Technicians. In this role, you'll help train machine learning models by labeling and categorizing data used in computer vision and natural language processing systems. Your annotations help AI systems “understand” the world—from recognizing everyday objects in images to parsing human language with greater accuracy.

This is a contractor role with competitive hourly pay, full-time flexibility, and serious career-building potential. You’ll gain firsthand exposure to the workflows and processes used by data scientists and AI engineers, making it a great opportunity for recent grads or professionals transitioning into tech.

 

Job Description

As a Virtual Data Annotation Technician, you will play an essential role in supporting machine learning models by providing high-quality, accurate data annotations. This remote position offers you the chance to work independently and contribute to the growing field of artificial intelligence (AI). The role primarily involves tasks such as labeling, categorizing, annotating images, tagging text, and generating or evaluating multiple-choice questions, all of which are crucial in training AI systems to recognize patterns and make decisions.

The position requires attention to detail and an ability to produce consistent, accurate results. Your work will directly influence the effectiveness and success of machine learning models, helping them learn and perform better.

Key Responsibilities

Your core responsibilities as a Virtual Data Annotation Technician will include:

1. Data Labeling:
• Annotating objects within images.
• Categorizing various items in visual data sets.
• Ensuring the images are properly tagged to aid in machine learning.
2. Text Tagging:
• Reviewing and tagging text-based data to help train natural language processing (NLP) systems.
• Correctly identifying keywords and relevant information in text documents.
3. Question Generation:
• Creating multiple-choice questions for training models in content comprehension and reasoning.
• Evaluating and refining the quality of these questions to improve AI learning outcomes.
4. Ensuring Quality Control:
• Reviewing the data annotation for accuracy and completeness.
• Providing feedback on labeling consistency and methods for continuous improvement.
5. Collaborating with AI Teams:
• Working with data scientists and AI specialists to improve annotation strategies.
• Identifying areas where machine learning models may need more refined data or adjustments.

Qualifications

To be considered for this position, candidates should meet the following qualifications:

• Education:
• A Bachelor’s degree or higher (recent graduates are encouraged to apply). A strong academic background will help in handling the technical requirements of data annotation.
• Mathematics proficiency: Must have earned an A or B in a college-level mathematics course. Strong quantitative skills will help in managing complex data tasks effectively.
• Experience:
• While experience in data/content annotation is a plus, it’s not required. Training will be provided for those new to this role.
• Remote work experience is beneficial, as it shows that you can effectively manage time and tasks independently.
• Skills:
• Proficient in software tools and comfortable using annotation platforms.
• Must have excellent written English skills, as content creation and text annotation are key aspects of this job.
• Must be detail-oriented, ensuring that annotations are accurate and consistent.
• Strong time management skills to balance multiple tasks effectively.
• Reliable internet connection and access to a laptop/computer for smooth remote work.
• Other Requirements:
• Availability to work up to 40 hours per week.
• Must be authorized to work in the U.S. (this is a U.S.-only remote position).

What We Offer?

The Virtual Data Annotation Technician role offers several benefits designed to attract high-caliber candidates. Here’s what you can expect:

• Competitive Salary:
• Pay rate of $20.00 per hour, with the potential to work up to 40 hours per week, which can total US$41,600 per year.
• Remote Flexibility:
• This position is fully remote, allowing you to work from anywhere in the U.S. It provides flexibility to manage your work schedule while ensuring you meet project deadlines.
• Professional Development:
• The role provides a great opportunity to gain experience in the rapidly growing field of artificial intelligence and machine learning.
• You will be contributing directly to AI development, which could open up opportunities for future projects or career growth within the AI space.
• Work-Life Balance:
• With the option to work from home and choose your hours, you can enjoy a flexible work-life balance that traditional office jobs may not offer.

 

Benefits at a Glance

Benefit Type	Details
✅ Hourly Rate	$20.00 per hour
✅Annual Salary (Full-Time)	$41,600 per year (based on 40 hours/week)
✅ Work Location	Remote (U.S. only, must be authorized to work in the U.S.)
✅Work Hours	Up to 40 hours per week, flexible scheduling
✅Opportunities for Growth	Exposure to cutting-edge AI work and machine learning models
✅Contract Type	1099 Contract position

 

How to Apply?

If this exciting opportunity to work in the AI field interests you, please apply with your CV. You can submit your application through the following platforms:

• Apply on Rise - Rise - Jobs
• Apply on Monster

 

Why You Should Apply?

This position offers a fantastic opportunity to contribute to the future of AI development. By helping to label, categorize, and annotate data, you’ll play a key role in training intelligent systems that can understand and process the world around them. The remote flexibility and competitive salary make it an ideal job for those looking to gain experience in the AI field while balancing other life commitments. Whether you’re a recent graduate or someone looking to transition into a data annotation role, this job provides a valuable stepping stone in an exciting industry.

 

Additional Notes

• Remote Work: All work must be performed remotely; candidates must be located in the U.S. and authorized to work in the U.S.
• Pay: Payments are made via PayPal, and you will not be asked for any upfront fees. Currency conversions from USD are handled by PayPal.

 

By contributing to AI development, you’ll be at the forefront of a technological revolution. If you have a passion for data annotation and want to make a real impact on the future of machine learning models, this is the job for you.