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Hiring Now! Remote STEM Data Annotator | Work from Home & Get Paid!


Think You’re Good at Science or Math? Here’s a Remote Job That Actually Uses It





If you’ve ever wanted a job that really values your skills in science, math, or engineering—but doesn’t require you to work in a lab or office every day—this could be just what you’re looking for.

At Snorkel AI, they’re doing something very cool with technology. They build powerful artificial intelligence systems, but here’s the secret most people don’t know—AI doesn’t train itself. Behind every smart machine is someone helping it learn, and that’s where you come in.

This job is called data annotation, and it’s exactly what it sounds like: labeling and organizing pieces of information (like texts, images, or equations) so that AI can learn from them. But this isn’t just basic sorting. Because this job is focused on STEM (Science, Technology, Engineering, and Math), you’ll be working on real-world projects that need your subject knowledge. Think physics, calculus, biology—even things like chemistry formulas or educational questions.

And the best part? You don’t have to be a professor or tech wizard to get started. If you’ve studied STEM, have solid attention to detail, and enjoy using your brain, you already have what this job needs. You can work from home, set your own hours, and get paid well for the value you bring.

So if you’re someone with a strong background in math or science—and you’re curious about how the future of AI gets built—this is your chance to be a part of it. Keep reading to find out how to apply.

 

⚠️ Important Application Disclaimer:

Before applying for this position, please carefully read the job description and follow all application instructions. Failure to do so may result in your application being rejected. This ensures that applicants are well-informed and increases their chances of securing the role. Make sure you understand the job responsibilities, qualifications, and how to apply before submitting your application.


Remote Data Annotator - STEM | Snorkel AI

Company: Snorkel AI
Job Type: Full-time (Remote)
Hours: 10-40 hours per week
Pay Range: $20 - $30 per hour (Task-based structure allowing for higher earnings depending on experience, education level, and project complexity)


About Snorkel AI



Snorkel AI is at the forefront of AI development, pioneering new methods in human-in-the-loop data annotation and AI training. Founded as a Stanford AI Lab research project in 2016, we have grown into a leading AI data development platform. Our work enables scientists, engineers, financial experts, product developers, and journalists to build custom AI models efficiently. We collaborate with some of the world's biggest companies to revolutionize how AI is trained and deployed.

If you are passionate about AI, STEM, and high-quality data development, this opportunity is perfect for you!


What is a Data Annotator?

A Data Annotator plays a crucial role in AI development by labeling, curating, and verifying data used to train AI models. AI systems depend on well-structured and accurate datasets for accuracy and effectiveness. This role is vital for ensuring AI models learn correctly and deliver precise results.


Key Responsibilities

Your tasks will vary by project, but will generally include:

Multimodal Data Annotation – Label and tag images, text, and other data accurately based on predefined guidelines. 

Multiple-Choice Question Generation – Develop high-quality educational content and training material for AI models. 

Quality Assurance – Review annotations for accuracy and consistency to maintain data integrity. 

Data Curation – Organize, filter, and refine data to improve AI model performance. ✅ STEM-Specific Annotations – Work on AI projects requiring expertise in subjects such as math, physics, chemistry, engineering, and biology.


Who Can Apply?

Snorkel AI is looking for highly skilled individuals with expertise in STEM (Science, Technology, Engineering, and Mathematics). If you have an advanced degree or a strong background in any of the following areas, we encourage you to apply:

🔬 Science – Biology, Physics, Chemistry, Medical sciences
🔢 Mathematics – Calculus, Statistics, Data Science
⚙️ Engineering – Mechanical, Electrical, Computer Engineering
🎵 Music & Audio Engineering – Specialized AI-based music processing tasks

A high level of attention to detail and strong analytical skills are required for this role.


Required Skills & Qualifications

✔️ STEM Degree or Relevant Experience – Strong background in one or more of the STEM fields listed above.
✔️ Attention to Detail – Accuracy in labeling and curating datasets is crucial.
✔️ English Proficiency – Strong written and verbal communication skills.
✔️ Technical Aptitude – Familiarity with annotation platforms, spreadsheets, and basic AI concepts is a plus.
✔️ Self-Motivation & Time Management – Ability to work independently in a remote environment and meet deadlines.
✔️ Critical Thinking – Ability to assess, verify, and improve AI model training data.


Compensation & Benefits

Benefit Details
💰 Pay $20-$30 per hour (task-based, with potential for higher earnings)
🏡 Remote Work Work from anywhere with flexible hours
🚀 Career Growth Contribute to cutting-edge AI projects and research
📚 Learning Opportunities Gain hands-on experience in AI data development
⚕️ Health & Wellness Comprehensive medical, dental, and vision coverage for full-time employees
💼 Retirement Benefits 401(k) plan available
👶 Parental Leave Up to 20 weeks of paid leave for new parents
🖥️ Workstation Allowance Get support for your home office setup


Click on the Button Below to Begin your Job Application Process:




Frequently Asked Questions (FAQs)

1. Do I need prior AI or machine learning experience?

No! While AI knowledge is beneficial, this role primarily requires subject-matter expertise in STEM, attention to detail, and the ability to follow structured annotation guidelines.

2. Can I work from anywhere?

Yes! This role is fully remote, and you can work from any location with a stable internet connection.

3. How are payments structured?

You will be paid on a per-task basis, with earnings ranging from $20-$30 per hour. Higher complexity tasks or advanced degrees may qualify for higher pay.

4. What kind of projects will I work on?

Projects range from labeling text and images to generating educational content and STEM-related annotations for AI training.

5. What is the expected weekly commitment?

You can choose between 10 to 40 hours per week based on availability.


Be Your Best at Snorkel AI

At Snorkel AI, we strive to create an inclusive and diverse work environment. We are an Equal Employment Opportunity (EEO) employer and encourage applicants from all backgrounds to apply. Our mission is to democratize AI while ensuring fair and unbiased model development. If you require accommodations during the application process, please contact us.

Ready to be part of an exciting AI revolution? Apply today and start contributing to groundbreaking advancements in AI data development! 🚀

 

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