Data Annotator | General Knowledge

💰 $3,200 - $5,120 (Est.) 📍 New York City 🕐 4 days ago

Job Description

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Job Title: Data Annotator - General Knowledge (Remote)

Location: Remote

Hours: Looking for people that can commit to 10-40 hours per week.

Pay: A range of $15-$25 per hour, with task-based structures to allow you to exceed the hourly rate. Rates vary depending on factors such as project complexity, education level, background/experience (e.g. higher rates for PhDs).

Company Overview

At Snorkel AI, we are pioneering new approaches to high-quality, human-in-the-loop data development for training, tuning, and evaluating AI models. As part of our growing team, you’ll contribute directly to AI advancements by helping us annotate,curate, and perform quality control reviews on large datasets. This is an exciting opportunity to contribute to cutting-edge approaches to data development, and push the data frontier of what modern LLMs do and don’t know.

Role Overview

Data annotation is the process of labeling or curating data to train, tune, and/or evaluate AI models. This includes tasks like identifying objects in images, tagging pieces of text, or generating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy. We are seeking detail-oriented Data Annotators to assist with these tasks, ranging from annotating multimodal data (text, images) to generating educational content such as questions.

This remote role allows for flexible, task-based work, providing opportunities for those who are self-motivated and efficient with their time to make a significant impact while controlling their earning potential.

Key Responsibilities

Tasks will change project to project, but typically fall into the following buckets of work:
• Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines.
• Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.
• Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets.

Skills And Qualifications
• Some amount of college-level mathematics: Basic mathematical skills to understand complex concepts and work with technical data.
• Attention to detail: Precision is crucial, as incorrect labeling can impact the performance of machine learning models.
• English proficiency: Excellent written and verbal communication skills, especially for generating content and annotating text-based data.
• Data literacy: Experience or familiarity with handling and processing various types of data is preferred.
• Technical aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial.
• Self-motivation: Ability to work independently, manage time effectively, and meet project goals in a remote work environment.

What We Offer
• Competitive and flexible pay that allows you to control your earnings
• The opportunity to work remotely from anywhere, with flexible hours.
• A chance to contribute to the development of cutting-edge AI technologies with world class AI/ML research teams

How To Apply

Interested candidates should submit their resume. We will reach out with next steps to get started - no interviews are required, but our process will include completing a brief assessment, background check and onboarding session. If you would like to speak with a recruiter to learn more, we can arrange that as part of your process as well.

Be Your Best At Snorkel

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.

Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, ****** orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

💡 Quick Summary

Seeking a career-building opportunity? The Data Annotator | General Knowledge position is now open for candidates interested in the Work from home Jobs sector. This role in New York City offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

Sponsored

Job Details

Company Name: Snorkel AI

Frequently Asked Questions

Click the Apply Now button on this page, login or register for free on CallCenterJob.co.in, fill in your name, mobile number, city, and experience, then submit your application. The recruiter will contact you directly.
The expected salary for Data Annotator | General Knowledge in New York City is $3,200 - $5,120 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Annotator | General Knowledge is an on-site position based in New York City. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Annotator | General Knowledge. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
Yes, CallCenterJob.co.in is completely free for job seekers. Never pay money to apply for any job. If anyone asks for payment to process your application, report it immediately using the "Report this Job" button.

Similar Openings

  • ELK SIEM Specialist

    Job Title: ELK SIEM SpecialistLocation: RemoteDuration: 2 MonthsRoles and Respoinsibilities:They're looking for a candidate (potentially two) that has in-depth experience with ELK (Elasticsearch) for SIEM detection rules.The client has migrated from ...

    Full Time / Part Time

    Salary Estimated: 24K to 33K

    Remote

    July 11, 2026


    Apply Now

  • Data Entry Specialist (Remote - Part Time) at Netflix

    Netflix, a global streaming giant, revolutionizes the entertainment industry with its diverse range of movies, TV shows, documentaries, and original content. Known for its innovation and commitment to quality, Netflix has become a household name, pro...

    Full Time / Part Time

    Salary Estimated: 25K to 27K

    Remote

    July 11, 2026


    Apply Now

  • Data Scientist- AzureML/SageMaker

    Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind ...

    Full Time / Part Time

    Salary Estimated: 16K to 20K

    Remote

    July 11, 2026


    Apply Now

  • Data Entry Jobs (No Experience) - Work From Home

    We are seeking dedicated individuals to join our team as Data Entry Operators. In this role, you will be responsible for accurately inputting, updating, and maintaining various types of data into our systems. This is a remote position, offering flexi...

    Full Time / Part Time

    Salary Estimated: 25K to 31K

    Bangalore, Karnataka

    July 11, 2026


    Apply Now

  • Amazon Careers Business Analyst Amazon Jobs For Freshers

    Amazon is seeking a highly motivated and detail-oriented Business Analyst to join our dynamic team. As a Business Analyst, you will play a crucial role in analyzing data, identifying trends, and providing actionable insights to drive business improve...

    Full Time / Part Time

    Salary Estimated: 20K to 30K

    Remote

    July 11, 2026


    Apply Now

  • Daily Payment Part-Time Jobs in India for College Students and Freshers (No Investment)

    The Elite Job offers daily payment part-time opportunities designed specifically for college students and freshers in India. This role is perfect for those looking to gain work experience while managing their studies. The positions are entirely flexi...

    Full Time / Part Time

    Salary Estimated: 23K to 32K

    Remote

    July 11, 2026


    Apply Now