Entry Level Remote AI Tagger Jobs New York — Can You Turn Raw Data Into AI Gold From Home?

About the Role

We’re looking for detail-oriented, entry-level AL (Annotation/Labeling) Taggers to help train next-generation AI models from the comfort of their home offices. You’ll work remotely with a distributed team, owning your queue of data-labeling tasks while collaborating asynchronously on quality and edge cases. This is a high-ownership role where your precision directly shapes how AI understands language, images, and behavior. Curious what this role pays long-term in New York? Check what an AL Tagger makes in New York.

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What You Will Be Doing

• Apply precise labels, tags, bounding boxes, or categories to text, image, audio, or video datasets

• Follow detailed annotation guidelines and ontologies for each project

• Review and validate peer annotations for consistency and accuracy

• Flag ambiguous or edge-case items and suggest guideline improvements

• Meet daily throughput and quality targets tracked via inter-annotator agreement scores

• Use annotation platforms like Labelbox, CVAT, Scale AI, or proprietary tools

• Participate in calibration exercises when new projects launch

• Document recurring issues and contribute to internal knowledge bases

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Requirements

Must Have

• High school diploma or equivalent

• Strong attention to detail and ability to follow complex instructions

• Reliable high-speed internet and quiet home workspace

• Basic computer literacy (Google Workspace, Slack, browsers)

• Ability to work independently and manage time effectively

Nice to Have

• Prior experience with data labeling, content moderation, or QA tasks

• Familiarity with AI/ML concepts or NLP basics

• Experience with annotation tools (Labelbox, CVAT, Scale, Appen, etc.)

• Background in linguistics, translation, or technical writing

• Understanding of privacy, consent, and data governance practices

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Salary Overview

Want the full breakdown by city and seniority? See our detailed AL Tagger salary guide for New York.

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Benefits

• Fully remote work — no commute, work from anywhere in NY state

• Flexible scheduling with core collaboration windows

• Paid training and onboarding on annotation platforms

• Performance bonuses tied to quality and throughput

• Health, dental, and vision coverage (for full-time hires)

• 401(k) matching or retirement stipend

• Paid time off and holidays

• Access to upskilling courses in AI, NLP, and data science

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Visa Sponsorship Information

We sponsor work visas for candidates who meet the following criteria:

• Hold a valid passport and meet U.S. entry requirements

• Possess relevant education or demonstrable experience in data annotation, linguistics, or related fields

• Pass technical and language proficiency assessments

• Are eligible for H-1B, O-1, or TN visa categories (as applicable)

• Can provide documentation for background and credential verification

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About the Company

WhatIsTheSalary partners with AI labs, data annotation vendors, and tech startups to place remote taggers, annotators, and AI trainers worldwide. We’re a small, human-first team obsessed with fair pay, transparent career paths, and helping people break into AI without a CS degree. Our clients include Fortune 500s and fast-growing AI scaleups building the next wave of generative models.

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How to Apply

Applications are reviewed on a rolling basis — the sooner you apply, the sooner you can start. Send your resume and a short note about why you’re a great fit for remote AL tagging to our hiring portal. No cover letter required, but tell us about a time you caught a tricky detail others missed.