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Data Annotation Jobs in Commack, NY (NOW HIRING)

Latent

Clinical Informatics Specialist

New York, NY · On-site

$75K - $100K/yr

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to improve Latent's AI models, while also serving as a clinical subject matter expert (SME) to inform ...

Welocalize

Polish Data Labeler

New York, NY · On-site

$26 - $28/hr

Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/yr

As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing ... Standing up human transcription, annotation and other operations, largely overseas, that make it ...

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All JobsData Annotation JobsData Annotation Jobs in Commack, NY

Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What cities near Commack, NY are hiring for Data Annotation jobs?

Cities near Commack, NY with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Commack, NY as of August 2026, with employment types broken down into 58% Full Time, 28% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Japanese Language Expert - Remote

YO AI Labs

New York, NY • Remote

$24 - $31.75/hr

Full-time

Posted 8 days ago

Job description

Job Title: Japanese Language Expert

Job Type: Contract
Location: Remote

Job Overview

We are seeking experienced Japanese Language Experts to contribute their linguistic expertise to a project focused on improving next-generation AI systems. In this role, you will work with Japanese and English audio and written content, ensuring accurate transcription, translation, contextual fidelity, and high-quality linguistic output.

No prior AI experience is required—your language expertise, attention to detail, and bilingual proficiency are what matter most.

Key Responsibilities
  • Accurately transcribe audio and written materials between Japanese and English.
  • Review, edit, and proofread transcripts to ensure linguistic accuracy, clarity, and contextual fidelity.
  • Identify and correct grammatical, terminology, and transcription errors.
  • Provide detailed linguistic feedback to improve transcription quality and consistency.
  • Collaborate with remote team members to maintain project quality standards and workflows.
  • Manage multiple transcription and language tasks while meeting project deadlines.
  • Maintain consistent formatting and high-quality deliverables across assignments.
  • Communicate effectively with team members through written and verbal channels.
Required Skills & Qualifications
  • Native or near-native proficiency in Japanese with strong command of English.
  • Demonstrated experience in transcription, translation, localization, or related language services.
  • Excellent written and verbal communication skills in both Japanese and English.
  • Exceptional attention to detail and commitment to transcription accuracy.
  • Ability to work independently while collaborating effectively within a remote team.
  • Proficiency with transcription software, digital tools, and collaboration platforms.
  • Strong organizational, prioritization, and time-management skills.
Preferred Qualifications
  • Prior experience with Japanese-English bilingual transcription projects.
  • Familiarity with technical, business, or industry-specific terminology.
  • Academic or professional background in linguistics, Japanese studies, translation, language studies, or a related field.
  • Experience reviewing or quality-checking language data.
  • Familiarity with AI, language technology, or data annotation projects is a plus.