📍 Location: Remote
(Must Reside in the USA)
💰
Pay: $20-$25 per hour (Potential to exceed this through task-based
incentives)
⏳
Hours: Flexible, 10-40 hours per week
💼
Employment Type: Full-time (Remote)
Help Shape the Future of Artificial Intelligence – All From Home
Imagine having a job where your
attention to detail and love for knowledge could directly impact the next
generation of artificial intelligence—and you could do it all while working in
your sweatpants, from your favorite coffee spot, or your home office. Welcome
to the world of Remote Data Annotation—a growing and mission-critical
space where your brainpower helps power smarter AI models for the real world.
We’re not just offering a remote
gig—we’re offering the chance to be part of a global transformation. As a Data
Annotator (General Knowledge), your role is essential in making AI more
accurate, more intelligent, and more human. From refining search engines to
training educational bots and virtual assistants, the data you help organize
and annotate will be used to train some of the most advanced systems in the
world.
This position is perfect for
someone who thrives on accuracy, loves trivia and general knowledge, and isn’t
afraid of a spreadsheet or two. If you’ve got a keen eye for detail, strong
command of English, and the discipline to manage your own time, we’d love to
see what you can bring to their team.
Whether you're a college student
looking for flexible work, a stay-at-home parent with sharp skills, or a
lifelong learner who enjoys structured problem-solving, this is your chance to
join a fast-growing industry from the comfort of home—and get paid well to do
it.
So, if you're ready to ditch the
commute, put your brain to good use, and help train the AI of tomorrow—read on.
This role is more than a job; it’s a step into the future.
Company Overview
They are a leading organization at
the forefront of AI and machine learning, specializing in human-in-the-loop
data development. Their mission is to enhance artificial intelligence models by
curating high-quality datasets that power the next generation of AI-driven
applications. By joining their team, you’ll be contributing directly to
groundbreaking advancements in AI, ensuring models receive the accurate and
comprehensive training they require.
If you're passionate about
technology, data, and precision-driven work, this is an exciting opportunity to
make a meaningful impact in the AI industry—all from the comfort of your home.
⚠️ Important Notice Before Applying
Before submitting your application, carefully read the job description and follow all instructions. Failure to do so may result in your application being rejected. This ensures that you fully understand the responsibilities, qualifications, and expectations for the role, giving you the best chance at securing the position.
Job Overview
AI models depend on high-quality,
well-structured, and accurate data to function effectively. As a Data
Annotator, your role is essential in ensuring that AI models can recognize
and process data correctly. You will be responsible for labeling, categorizing,
and verifying data in various formats, including text and images. Your work
will help train, fine-tune, and evaluate machine learning models that power
search engines, chatbots, recommendation systems, and more.
This role is best suited for
individuals who have strong attention to detail, are self-motivated, and have a
solid understanding of general knowledge concepts. While the job is flexible
and remote, it requires precision, consistency, and adherence to project
guidelines to ensure the highest level of data accuracy.
Key Responsibilities
Your responsibilities may vary
depending on the specific project you are assigned to, but typically include:
✅ Multimodal Data Annotation
– Accurately label and tag various forms of data (text, images, or other
formats) based on provided guidelines.
✅ Content Generation –
Create clear and well-structured multiple-choice questions or other educational
content used for AI model training.
✅ Quality Control & Review
– Ensure the accuracy and consistency of data by verifying annotations and
making necessary corrections to meet project standards.
✅ Collaboration & Feedback
Implementation – Work with a team of annotators and project managers to
refine annotation standards and improve AI training methodologies.
✅ Data Organization &
Management – Maintain properly structured datasets to ensure AI models
receive optimized training materials.
Required Skills & Qualifications
To be successful in this role, you
should possess the following qualifications and skills:
📌 Residency
Requirement: Must currently reside within the USA.
📌
Educational Background: Basic understanding of college-level mathematics
is essential to handle technical data and concepts.
📌 Attention to Detail: Precision and consistency are key when labeling data, as inaccurate annotations can negatively impact AI performance.
📌 English Proficiency: Strong written and verbal communication skills to ensure clarity and accuracy in annotation tasks.
📌 Data Literacy: Familiarity with handling different data types, spreadsheets, and annotation tools is a plus.
📌 Technical Aptitude: Ability to use basic software, data annotation platforms, and spreadsheets.
📌
Self-Motivation & Time Management: Ability to work independently and
meet project deadlines in a remote work environment.
Compensation & Benefits
💰 Competitive Pay: Earn between $20-$25 per hour, with opportunities to increase earnings through task-based performance incentives.
📅 Flexible Hours: Work 10-40 hours per week based on your availability and project demand.
🏡 Remote Work: Enjoy the convenience of working from anywhere in the U.S. with a stable internet connection.
🧠 Professional Growth:
Gain hands-on experience in AI training and data science methodologies. 🤝
Impactful Work: Play a key role in the development of cutting-edge AI
technologies that power global industries.
Click on the Button Below to Begin your Job Application Process:
How to Apply?
If you're interested in joining their team as a Data Annotator - General Knowledge, follow these steps
carefully:
1️⃣ Prepare Your Resume: Ensure it highlights your relevant experience, education, and skills.
2️⃣ Submit Your Application: Apply through the provided job portals (ZipRecruiter, Built In, Jobgether, The Rundown Jobs, Towards AI Jobs, Parallel, etc.).
3️⃣ Complete a Brief Assessment: Selected candidates will be required to complete a short evaluation to test attention to detail and annotation accuracy.
4️⃣ Background Check: A standard background check may be conducted before onboarding.
5️⃣ Onboarding & Training: Once accepted,
you’ll go through an onboarding session to understand annotation guidelines and
platform usage.
🔗 Apply now via the
following platforms:
ZipRecruiter | Built In San Francisco | Jobgether | Parallel | Towards AI Jobs
Why Join Them?
At their company, they are committed to building an inclusive and diverse team where everyone’s contributions are valued. They believe in equal opportunity employment and encourage applicants from all backgrounds to apply. Whether you’re looking for a part-time gig, a flexible full-time role, or simply a way to contribute to AI development, they welcome you to be part of this exciting journey!