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Data Annotation Jobs in Harrison, NJ (NOW HIRING)

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Build collaborative relationships with key stakeholders across Meta to develop, implement, and optimize outsourcing and vendor management solutions for Gen AI data annotation and collection vendors

Responsibilities Build collaborative relationships with key stakeholders across Meta to develop, implement, and optimize outsourcing and vendor management solutions for Gen AI data annotation and ...

Who You Are Required Background * 5+ years working at the intersection of ML and data -- annotation methodology, dataset curation, data‑centric ML, ground truth design, or labeling‑specifications ...

Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation methodology, dataset curation, data-centric ML, ground truth design, or labeling-specifications work ...

Who You Are Required Background * 5+ years working at the intersection of ML and data -- annotation methodology, dataset curation, data-centric ML, ground truth design, or labeling-specifications ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Data annotation and quality review. * Exploratory data analysis and model fail state analysis. * Contribute to model governance, documentation, and explainability frameworks aligned with internal and ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis * Contribute to model governance, documentation, and explainability frameworks aligned with internal and ...

Showing results 21-40

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 are the most commonly searched types of Data Annotation jobs in Harrison, NJ?

The most popular types of Data Annotation jobs in Harrison, NJ are:

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For Data Annotation jobs in Harrison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Harrison, NJ look for?

The top searched job categories for Data Annotation jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Data Annotation jobs?

Cities near Harrison, NJ with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Training Specialist - Japanese Linguist

BAM Ventures

Manhattan, NY • On-site

$70 - $90/hr

Other

Posted 4 days ago


Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

We are seeking a detail-oriented AI Training Specialist fluent in Japanese to join our team at Rise Data Labs. In this role, you will leverage your linguistic expertise and attention to detail to train and improve AI models through data annotation and labeling. You will play a crucial role in reviewing and validating AI-generated content for accuracy, ensuring high-quality data for machine learning applications.

Key Responsibilities
  • Annotate and label data sets to train AI models effectively.
  • Review AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance.
  • Collaborate on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications.
Required Skills and Qualifications
  • Fluency in Japanese (both written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience with data annotation and AI training processes.
  • Ability to work independently and manage time effectively.
  • Basic understanding of machine learning concepts.
Preferred Qualifications
  • Experience in linguistics or language processing.
  • Familiarity with AI tools and software.
  • Previous experience in a similar role within the tech industry.
What We Offer

At Rise Data Labs, we value our employees and offer competitive compensation, flexible working hours, and opportunities for professional growth. Join us and be part of a dynamic team dedicated to advancing AI technologies!

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BAM Ventures logo

About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014